diff --git a/README.md b/README.md
index 4c596483..6171103e 100644
--- a/README.md
+++ b/README.md
@@ -51,7 +51,7 @@ Welcome to the STACKIT RAG Template! This is a basic example of how to use the R
 
 ## Features 🚀
 
-**Document Management**: Supports PDFs, DOCX, PPTX, XML, EPUB documents and websource via confluence as well as sitemaps.
+**Document Management**: Supports PDFs, Office docs (DOCX, PPTX), spreadsheets (XLSX), Markdown/AsciiDoc (MD, MDX, ADOC), EPUB/HTML/XML, CSV/TXT, and raster images, with automatic fallbacks between Docling, MarkItDown, and custom extractors; also handles Confluence spaces and sitemaps.
 
 **AI Integration**: Multiple LLM and embedder providers for flexibility.
 
@@ -109,9 +109,9 @@ All components are provided by the *admin-api-lib*. For further information on e
 
 #### 1.1.3 Document extractor
 
-The Document extractor is a component that is used to extract the content from the documents and confluence spaces.
+The Document extractor ingests uploaded files and remote sources (Confluence, sitemap) and now orchestrates multiple extractors with a deterministic fallback chain. Docling runs first for rich formats (PDF, Office, Markdown, HTML, images), MarkItDown provides lightweight markdown conversion, and specialised custom extractors (PDF, MS Office, XML, EPUB, Tesseract OCR) handle edge cases. The order and availability can be customised through the dependency-injector container.
 
-All components are provided by the *extractor-api-lib*. For further information on endpoints and requirements, please consult [the libs README](./libs/README.md#3-extractor-api-lib).
+All components are provided by the *extractor-api-lib*. For further information on endpoints, extractor ordering, supported formats, and configuration tips, please consult [the libs README](./libs/README.md#3-extractor-api-lib).
 
 #### 1.1.4 MCP Server
 
diff --git a/infrastructure/rag/templates/_admin_backend_and_extractor_helpers.tpl b/infrastructure/rag/templates/_admin_backend_and_extractor_helpers.tpl
index be4c54b1..59d4fcc7 100644
--- a/infrastructure/rag/templates/_admin_backend_and_extractor_helpers.tpl
+++ b/infrastructure/rag/templates/_admin_backend_and_extractor_helpers.tpl
@@ -52,10 +52,6 @@
 {{- printf "%s-langfuse-configmap" .Release.Name | trunc 63 | trimSuffix "-" -}}
 {{- end -}}
 
-{{- define "configmap.pdfextractorName" -}}
-{{- printf "%s-pdfextractor-configmap" .Release.Name | trunc 63 | trimSuffix "-" -}}
-{{- end -}}
-
 {{- define "configmap.adminBackendName" -}}
 {{- printf "%s-admin-backend-configmap" .Release.Name | trunc 63 | trimSuffix "-" -}}
 {{- end -}}
@@ -81,6 +77,14 @@
 {{- printf "%s:%s" .Values.extractor.image.repository .Values.extractor.image.tag | trimSuffix ":" }}
 {{- end -}}
 
+{{- define "extractor.huggingfaceCacheDir" -}}
+{{- default "/tmp/hf-cache" .Values.extractor.huggingfaceCacheDir -}}
+{{- end -}}
+
+{{- define "extractor.modelscopeCacheDir" -}}
+{{- default "/var/modelscope" .Values.extractor.modelscopeCacheDir -}}
+{{- end -}}
+
 # ingress
 {{- define "ingress.adminBackendFullname" -}}
 {{- printf "%s-admin-backend-ingress" .Release.Name | trunc 63 | trimSuffix "-" -}}
diff --git a/infrastructure/rag/templates/admin-backend/deployment.yaml b/infrastructure/rag/templates/admin-backend/deployment.yaml
index 3f100ca3..d86baffd 100644
--- a/infrastructure/rag/templates/admin-backend/deployment.yaml
+++ b/infrastructure/rag/templates/admin-backend/deployment.yaml
@@ -36,12 +36,17 @@ spec:
           - sh
           - -c
           - |
+            set -euo pipefail;
             touch /app/services/admin-backend/log/logfile.log && \
             chmod 600 /app/services/admin-backend/log/logfile.log;
+            mkdir -p /home/nonroot/nltk_data/tokenizers && \
+            mkdir -p /home/nonroot/nltk_data/taggers && \
             wget -q -O /tmp/punkt.zip https://raw.githubusercontent.com/nltk/nltk_data/gh-pages/packages/tokenizers/punkt_tab.zip && \
-            unzip /tmp/punkt.zip -d /home/nonroot/nltk_data/tokenizers && \
+            unzip -oq /tmp/punkt.zip -d /home/nonroot/nltk_data/tokenizers && \
+            rm -f /tmp/punkt.zip && \
             wget -q -O /tmp/averaged_perceptron_tagger_eng.zip https://raw.githubusercontent.com/nltk/nltk_data/gh-pages/packages/taggers/averaged_perceptron_tagger_eng.zip && \
-            unzip /tmp/averaged_perceptron_tagger_eng.zip -d /home/nonroot/nltk_data/taggers;
+            unzip -oq /tmp/averaged_perceptron_tagger_eng.zip -d /home/nonroot/nltk_data/taggers && \
+            rm -f /tmp/averaged_perceptron_tagger_eng.zip;
         volumeMounts:
         - name: log-dir
           mountPath: /app/services/admin-backend/log
@@ -108,8 +113,6 @@ spec:
               name: {{ template "configmap.ragapiName" . }}
           - configMapRef:
               name: {{ template "configmap.stackitVllmName" . }}
-          - configMapRef:
-              name: {{ template "configmap.pdfextractorName" . }}
           - configMapRef:
               name: {{ template "configmap.keyValueStoreName" . }}
           - configMapRef:
diff --git a/infrastructure/rag/templates/configmap.yaml b/infrastructure/rag/templates/configmap.yaml
index 46fde598..6133da9f 100644
--- a/infrastructure/rag/templates/configmap.yaml
+++ b/infrastructure/rag/templates/configmap.yaml
@@ -9,15 +9,6 @@ data:
 ---
 apiVersion: v1
 kind: ConfigMap
-metadata:
-  name: {{ template "configmap.pdfextractorName" . }}
-data:
-  {{- range $key, $value := .Values.shared.envs.pdfextractor }}
-  {{ $key }}: {{ $value | quote }}
-  {{- end }}
----
-apiVersion: v1
-kind: ConfigMap
 metadata:
   name: {{ template "configmap.usecaseName" . }}
 data:
diff --git a/infrastructure/rag/templates/extractor/deployment.yaml b/infrastructure/rag/templates/extractor/deployment.yaml
index 618a19d2..adfd2e38 100644
--- a/infrastructure/rag/templates/extractor/deployment.yaml
+++ b/infrastructure/rag/templates/extractor/deployment.yaml
@@ -25,6 +25,9 @@ spec:
           emptyDir: {}
         - name: nltk-data-dir
           emptyDir: {}
+        - name: modelscope-cache
+          emptyDir: {}
+      {{- $msCacheDir := include "extractor.modelscopeCacheDir" . }}
       {{- if .Values.shared.imagePullSecret }}
       imagePullSecrets:
       - name: {{ .Values.shared.imagePullSecret.name }}
@@ -32,16 +35,23 @@ spec:
       initContainers:
       - name: init-permissions
         image: busybox
+        securityContext:
+          runAsUser: 0
+          runAsGroup: 0
+          runAsNonRoot: false
         command:
           - sh
           - -c
           - |
             touch /app/services/document-extractor/log/logfile.log && \
-            chmod 600 /app/services/document-extractor/log/logfile.log;
+            chmod 600 /app/services/document-extractor/log/logfile.log && \
+            chown -R 10001:10001 /app/services/document-extractor/log && \
             wget -q -O /tmp/punkt.zip https://raw.githubusercontent.com/nltk/nltk_data/gh-pages/packages/tokenizers/punkt_tab.zip && \
-            unzip /tmp/punkt.zip -d /home/nonroot/nltk_data/tokenizers && \
+            unzip -o -q /tmp/punkt.zip -d /home/nonroot/nltk_data/tokenizers && \
             wget -q -O /tmp/averaged_perceptron_tagger_eng.zip https://raw.githubusercontent.com/nltk/nltk_data/gh-pages/packages/taggers/averaged_perceptron_tagger_eng.zip && \
-            unzip /tmp/averaged_perceptron_tagger_eng.zip -d /home/nonroot/nltk_data/taggers;
+            unzip -o -q /tmp/averaged_perceptron_tagger_eng.zip -d /home/nonroot/nltk_data/taggers && \
+            mkdir -p /tmp/hf-cache &&  chown -R 10001:10001 /tmp/hf-cache && \
+            mkdir -p {{ $msCacheDir }} && chown -R 10001:10001 {{ $msCacheDir }};
         volumeMounts:
         - name: log-dir
           mountPath: /app/services/document-extractor/log
@@ -49,6 +59,8 @@ spec:
           mountPath: /home/nonroot/nltk_data
         - name: tmp-dir
           mountPath: /tmp
+        - name: modelscope-cache
+          mountPath: {{ $msCacheDir }}
       containers:
       - name: {{ .Values.extractor.name }}
         securityContext:
@@ -65,6 +77,8 @@ spec:
           mountPath: /tmp
         - name: nltk-data-dir
           mountPath: /home/nonroot/nltk_data
+        - name: modelscope-cache
+          mountPath: {{ $msCacheDir }}
         image: {{ template "extractor.fullImageName" . }}
         imagePullPolicy: {{ .Values.extractor.image.pullPolicy }}
         {{- if not (empty .Values.extractor.command) }}
@@ -96,12 +110,19 @@ spec:
         envFrom:
           - configMapRef:
               name: {{ template "configmap.s3Name" . }}
-          - configMapRef:
-              name: {{ template "configmap.pdfextractorName" . }}
           - secretRef:
               name: {{ template "secret.s3Name" . }}
+        {{- $hfCacheDir := include "extractor.huggingfaceCacheDir" . }}
         env:
           - name: PYTHONPATH
             value: {{ .Values.extractor.pythonPathEnv.PYTHONPATH }}
           - name: NLTK_DATA
             value: /home/nonroot/nltk_data
+          - name: HF_HOME
+            value: {{ $hfCacheDir | quote }}
+          - name: HUGGINGFACE_HUB_CACHE
+            value: {{ $hfCacheDir | quote }}
+          - name: MODELSCOPE_HOME
+            value: {{ $msCacheDir | quote }}
+          - name: XDG_CACHE_HOME
+            value: {{ $msCacheDir | quote }}
diff --git a/infrastructure/rag/values.yaml b/infrastructure/rag/values.yaml
index c07c9768..0b8b44d5 100644
--- a/infrastructure/rag/values.yaml
+++ b/infrastructure/rag/values.yaml
@@ -401,6 +401,9 @@ extractor:
 
   pythonPathEnv:
     PYTHONPATH: src
+  huggingfaceCacheDir: /tmp/hf-cache
+  # Directory inside the container to use as writable cache for ModelScope / OCR models
+  modelscopeCacheDir: /var/modelscope
 
 adminFrontend:
   name: admin-frontend
@@ -464,9 +467,6 @@ shared:
 
 
   envs:
-    pdfExtractor:
-      PDF_EXTRACTOR_DIAGRAMS_FOLDER_NAME: "connection_diagrams"
-      PDF_EXTRACTOR_FOOTER_HEIGHT: 155
     s3:
       S3_ENDPOINT: http://rag-minio:9000
       S3_BUCKET: documents
diff --git a/libs/extractor-api-lib/README.md b/libs/extractor-api-lib/README.md
index 5bec73c2..f49c78bc 100644
--- a/libs/extractor-api-lib/README.md
+++ b/libs/extractor-api-lib/README.md
@@ -10,11 +10,89 @@ Content ingestion layer for the STACKIT RAG template. This library exposes a Fas
 
 ## Feature highlights
 
-- **Broad format coverage** – PDFs, DOCX, PPTX, XML/EPUB, Confluence spaces, and sitemap-driven websites.
+- **Layered extraction pipeline** – Docling, MarkItDown, and the custom extractors now cooperate with a deterministic fallback chain, so a failed run automatically cascades to the next extractor.
+- **Expanded format coverage** – PDFs, Office documents, EPUB, XML, Markdown/AsciiDoc, CSV/TXT, raster images, Confluence spaces, and sitemap-driven websites.
 - **Consistent output schema** – Information pieces are returned in a unified structure with content type (`TEXT`, `TABLE`, `IMAGE`) and metadata.
 - **Swappable extractors** – Dependency-injector container makes it easy to add or replace file/source extractors, table converters, etc.
 - **Production-grade plumbing** – Built-in S3-compatible file service, LangChain loaders with retry/backoff, optional PDF OCR, and throttling controls for web crawls.
 
+## File extractor pipeline
+
+[`GeneralFileExtractor`](src/extractor_api_lib/impl/api_endpoints/general_file_extractor.py) orchestrates file parsing. It resolves the file type from the extension, filters the extractors that declare matching `compatible_file_types`, reverses that filtered list, and then executes the extractors in sequence until one returns content or all have failed. Exceptions are logged and the next extractor takes over; only if every extractor either returns no content or raises an exception do we bubble up an error.
+
+### Default execution order
+
+The dependency container wires extractors in the following list:
+
+1. `DoclingFileExtractor`
+2. `MarkitdownFileExtractor`
+3. `PDFExtractor`
+4. `EpubExtractor`
+5. `XMLExtractor`
+6. `MSDocsExtractor`
+7. `TesseractImageExtractor`
+
+Because the orchestrator reverses the candidate list before the fallback loop, the priority for overlapping formats is the reverse of this wiring. For example, PDFs run through Docling first, then fall back to MarkItDown, and finally to the custom PDF extractor; DOCX/PPTX files follow Docling → MarkItDown → MSDocs; raster images go through Docling’s OCR pipeline before falling back to the Tesseract-only extractor.
+
+### Supported formats
+
+| Format family            | Extensions                                               | Primary extractor          | Fallbacks                                                | Notes |
+|--------------------------|----------------------------------------------------------|----------------------------|----------------------------------------------------------|-------|
+| PDF                      | `.pdf`                                                   | Docling                    | MarkItDown → Custom PDF extractor                        | Docling performs OCR + table extraction; the PDF extractor keeps Camelot/pdfplumber heuristics as a last resort. |
+| Microsoft Word           | `.docx`                                                  | Docling                    | MarkItDown → MSDocs                                      | MSDocs keeps unstructured-based table conversion for custom cases. |
+| Microsoft PowerPoint     | `.pptx`                                                  | Docling                    | MarkItDown → MSDocs                                      | MarkItDown splits slides by `<!-- Slide number: N -->`. |
+| Microsoft Excel          | `.xlsx`                                                  | Docling                    | —                                                        | Tables returned as markdown; Docling infers sheet structure. |
+| EPUB                     | `.epub`                                                  | MarkItDown                 | EPUB extractor                                           | MarkItDown covers simple ebooks; the LangChain-based EPUB extractor preserves metadata when MarkItDown fails. |
+| HTML                     | `.html`                                                  | Docling                    | MarkItDown                                               | Docling keeps DOM-aware segmentation; MarkItDown is lighter-weight. |
+| Markdown                 | `.md`, `.markdown`, `.mdx`                               | Docling                    | —                                                        | MarkItDown does not currently register for Markdown. |
+| AsciiDoc                 | `.adoc`, `.asciidoc`                                     | Docling                    | —                                                        | |
+| CSV                      | `.csv`                                                   | Docling                    | MarkItDown                                               | Both produce markdown tables; Docling preserves structured metadata. |
+| Plain text               | `.txt`                                                   | MarkItDown                 | —                                                        | |
+| XML                      | `.xml`                                                   | XML extractor              | —                                                        | Uses the unstructured XML partitioner. |
+| Raster images            | `.jpg`, `.jpeg`, `.png`, `.tiff`, `.tif`, `.bmp`          | Docling (OCR)              | Tesseract image extractor                                | Docling feeds Tesseract CLI OCR; the fallback enforces single-frame images via Pillow. |
+
+Image coverage currently excludes animated GIF, WebP, HEIC, and SVG files. These extensions are ignored by the routing logic and will surface as “No extractor found” errors until an extractor declares support.
+
+### Source extractor pipeline
+
+`GeneralSourceExtractor` wires Confluence and sitemap loaders behind a similar abstraction. Unlike files, source extractors are keyed by `ExtractionParameters.source_type` and the matching extractor is called directly (no fallback chain).
+
+## Configuring extractor order
+
+The order lives in `DependencyContainer.file_extractors`. You can override it either by subclassing the container or by overriding the provider at runtime before wiring the FastAPI app. Example:
+
+`container.py`
+
+```python
+from dependency_injector.providers import List
+
+from extractor_api_lib.dependency_container import DependencyContainer
+
+
+class CustomExtractorContainer(DependencyContainer):
+    file_extractors = List(
+        DependencyContainer.docling_extractor,
+        DependencyContainer.markitdown_extractor,
+        DependencyContainer.ms_docs_extractor,
+        DependencyContainer.pdf_extractor,
+        DependencyContainer.image_extractor,
+        DependencyContainer.xml_extractor,
+        DependencyContainer.epub_extractor,
+    )
+```
+
+`main.py`
+
+```python
+from extractor_api_lib.main import app as perfect_extractor_app, register_dependency_container
+
+from container import CustomExtractorContainer
+
+register_dependency_container(CustomExtractorContainer())
+```
+
+The last provider in the list becomes the first extractor tried for a matching file type. Keep shared singleton providers (file service, converters) in the parent class to avoid double instantiation.
+
 ## Installation
 
 ```bash
@@ -45,11 +123,11 @@ Both endpoints stream their results back to `admin-api-lib`, which takes care of
 
 ## How the file extraction endpoint works
 
-1. Download the file from S3
-2. Chose suitable file extractor based on the filename ending
-3. Extract the content from the file
-4. Map the internal representation to the external schema
-5. Return the final output
+1. Download the file from S3.
+2. Derive the file type from the extension (normalizing common image/Markdown/AsciiDoc aliases).
+3. Select extractors that declare support for the resolved `FileType`.
+4. Run the extractors in priority order (highest priority first); stop at the first non-empty result or keep falling back if an extractor raises.
+5. Map the internal representation to the external schema and return the final output.
 
 ## How the source extraction endpoint works
 
@@ -64,7 +142,6 @@ Both endpoints stream their results back to `admin-api-lib`, which takes care of
 Two `pydantic-settings` models ship with this package:
 
 - **S3 storage** (`S3Settings`) – configure the built-in file service with `S3_ACCESS_KEY_ID`, `S3_SECRET_ACCESS_KEY`, `S3_ENDPOINT`, and `S3_BUCKET`.
-- **PDF extraction** (`PDFExtractorSettings`) – adjust footer trimming or diagram export via `PDF_EXTRACTOR_FOOTER_HEIGHT` and `PDF_EXTRACTOR_DIAGRAMS_FOLDER_NAME`.
 
 Other extractors accept their parameters at runtime through the request payload (`ExtractionParameters`). For example, the admin backend forwards Confluence credentials, sitemap URLs, or custom headers when it calls `/extract_from_source`. This keeps the library stateless and makes it easy to plug in additional sources without redeploying.
 
@@ -80,10 +157,19 @@ from extractor_api_lib.main import app as perfect_extractor_app
 
 ## Extending the library
 
-1. Implement `InformationFileExtractor` or `InformationExtractor` for your new format/source.
-2. Register it in `dependency_container.py` (append to `file_extractors` list or `source_extractors` dict).
-3. Update mapper or metadata handling if additional fields are required.
-4. Add unit tests under `libs/extractor-api-lib/tests` using fixtures and fake storage providers.
+1. Implement `InformationFileExtractor` (for file-based inputs) or `InformationExtractor` (for remote sources).
+2. Add a provider to `DependencyContainer` (usually a `Singleton`) and wire dependencies such as the shared `FileService` or table converter.
+3. Append the provider to `file_extractors` (or to the source extractor list) in the desired position so that the fallback order is correct.
+4. Update mappers or metadata handling if additional fields are required.
+5. Cover the happy path and a failure edge case with tests under `libs/extractor-api-lib/tests`, mocking external services (OCR, network, file I/O).
+
+## Advantages and caveats
+
+- Docling-first prioritisation dramatically improves structured extraction (tables, headings) and adds OCR to formats that previously lacked it.
+- Retaining MarkItDown and the custom PDF/MS extractors provides graceful degradation when Docling fails or produces empty output.
+- Image support now goes through Docling’s OCR before falling back to pure Tesseract.
+- The configuration still requires code changes; there is no environment-variable switch to reshuffle or disable extractors at runtime.
+- Multi-frame images, animated/novel image formats, and office formats such as ODT/RTF remain unsupported.
 
 ## Contributing
 
diff --git a/libs/extractor-api-lib/poetry.lock b/libs/extractor-api-lib/poetry.lock
index c5115e63..7046bcfe 100644
--- a/libs/extractor-api-lib/poetry.lock
+++ b/libs/extractor-api-lib/poetry.lock
@@ -1,15 +1,48 @@
-# This file is automatically @generated by Poetry 2.1.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.2.1 and should not be changed by hand.
+
+[[package]]
+name = "accelerate"
+version = "1.11.0"
+description = "Accelerate"
+optional = false
+python-versions = ">=3.10.0"
+groups = ["main"]
+files = [
+    {file = "accelerate-1.11.0-py3-none-any.whl", hash = "sha256:a628fa6beb069b8e549460fc449135d5bd8d73e7a11fd09f0bc9fc4ace7f06f1"},
+    {file = "accelerate-1.11.0.tar.gz", hash = "sha256:bb1caf2597b4cd632b917b5000c591d10730bb024a79746f1ee205bba80bd229"},
+]
+
+[package.dependencies]
+huggingface_hub = ">=0.21.0"
+numpy = ">=1.17"
+packaging = ">=20.0"
+psutil = "*"
+pyyaml = "*"
+safetensors = ">=0.4.3"
+torch = ">=2.0.0"
+
+[package.extras]
+deepspeed = ["deepspeed"]
+dev = ["bitsandbytes", "datasets", "diffusers", "evaluate", "parameterized", "pytest (>=7.2.0)", "pytest-order", "pytest-subtests", "pytest-xdist", "rich", "ruff (==0.13.1)", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+quality = ["ruff (==0.13.1)"]
+rich = ["rich"]
+sagemaker = ["sagemaker"]
+test-dev = ["bitsandbytes", "datasets", "diffusers", "evaluate", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+test-fp8 = ["torchao"]
+test-prod = ["parameterized", "pytest (>=7.2.0)", "pytest-order", "pytest-subtests", "pytest-xdist"]
+test-trackers = ["comet-ml", "dvclive", "matplotlib", "swanlab[dashboard]", "tensorboard", "trackio", "wandb"]
+testing = ["bitsandbytes", "datasets", "diffusers", "evaluate", "parameterized", "pytest (>=7.2.0)", "pytest-order", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
 
 [[package]]
 name = "aiofiles"
-version = "24.1.0"
+version = "25.1.0"
 description = "File support for asyncio."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "aiofiles-24.1.0-py3-none-any.whl", hash = "sha256:b4ec55f4195e3eb5d7abd1bf7e061763e864dd4954231fb8539a0ef8bb8260e5"},
-    {file = "aiofiles-24.1.0.tar.gz", hash = "sha256:22a075c9e5a3810f0c2e48f3008c94d68c65d763b9b03857924c99e57355166c"},
+    {file = "aiofiles-25.1.0-py3-none-any.whl", hash = "sha256:abe311e527c862958650f9438e859c1fa7568a141b22abcd015e120e86a85695"},
+    {file = "aiofiles-25.1.0.tar.gz", hash = "sha256:a8d728f0a29de45dc521f18f07297428d56992a742f0cd2701ba86e44d23d5b2"},
 ]
 
 [[package]]
@@ -26,98 +59,132 @@ files = [
 
 [[package]]
 name = "aiohttp"
-version = "3.12.15"
+version = "3.13.2"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "aiohttp-3.12.15-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:b6fc902bff74d9b1879ad55f5404153e2b33a82e72a95c89cec5eb6cc9e92fbc"},
-    {file = "aiohttp-3.12.15-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:098e92835b8119b54c693f2f88a1dec690e20798ca5f5fe5f0520245253ee0af"},
-    {file = "aiohttp-3.12.15-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:40b3fee496a47c3b4a39a731954c06f0bd9bd3e8258c059a4beb76ac23f8e421"},
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 ]
 
 [package.dependencies]
@@ -130,7 +197,7 @@ propcache = ">=0.2.0"
 yarl = ">=1.17.0,<2.0"
 
 [package.extras]
-speedups = ["Brotli ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "brotlicffi ; platform_python_implementation != \"CPython\""]
+speedups = ["Brotli ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi ; platform_python_implementation != \"CPython\""]
 
 [[package]]
 name = "aiosignal"
@@ -159,16 +226,27 @@ files = [
     {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
 ]
 
+[[package]]
+name = "antlr4-python3-runtime"
+version = "4.9.3"
+description = "ANTLR 4.9.3 runtime for Python 3.7"
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
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+]
+
 [[package]]
 name = "anyio"
-version = "4.9.0"
-description = "High level compatibility layer for multiple asynchronous event loop implementations"
+version = "4.11.0"
+description = "High-level concurrency and networking framework on top of asyncio or Trio"
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "tests"]
 files = [
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 ]
 
 [package.dependencies]
@@ -176,9 +254,7 @@ idna = ">=2.8"
 sniffio = ">=1.1"
 
 [package.extras]
-doc = ["Sphinx (>=8.2,<9.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx_rtd_theme"]
-test = ["anyio[trio]", "blockbuster (>=1.5.23)", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme", "truststore (>=0.9.1) ; python_version >= \"3.10\"", "uvloop (>=0.21) ; platform_python_implementation == \"CPython\" and platform_system != \"Windows\" and python_version < \"3.14\""]
-trio = ["trio (>=0.26.1)"]
+trio = ["trio (>=0.31.0)"]
 
 [[package]]
 name = "astor"
@@ -230,23 +306,130 @@ kerberos = ["requests-kerberos"]
 
 [[package]]
 name = "attrs"
-version = "25.3.0"
+version = "25.4.0"
 description = "Classes Without Boilerplate"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["main", "dev"]
 files = [
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+    {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"},
+]
+
+[[package]]
+name = "audioop-lts"
+version = "0.2.2"
+description = "LTS Port of Python audioop"
+optional = false
+python-versions = ">=3.13"
+groups = ["main"]
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+]
+
+[[package]]
+name = "azure-ai-documentintelligence"
+version = "1.0.2"
+description = "Microsoft Azure AI Document Intelligence Client Library for Python"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
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+]
+
+[package.dependencies]
+azure-core = ">=1.30.0"
+isodate = ">=0.6.1"
+typing-extensions = ">=4.6.0"
+
+[[package]]
+name = "azure-core"
+version = "1.36.0"
+description = "Microsoft Azure Core Library for Python"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "azure_core-1.36.0-py3-none-any.whl", hash = "sha256:fee9923a3a753e94a259563429f3644aaf05c486d45b1215d098115102d91d3b"},
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 ]
 
+[package.dependencies]
+requests = ">=2.21.0"
+typing-extensions = ">=4.6.0"
+
 [package.extras]
-benchmark = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
-cov = ["cloudpickle ; platform_python_implementation == \"CPython\"", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
-dev = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
-docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier"]
-tests = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
-tests-mypy = ["mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\""]
+aio = ["aiohttp (>=3.0)"]
+tracing = ["opentelemetry-api (>=1.26,<2.0)"]
+
+[[package]]
+name = "azure-identity"
+version = "1.25.1"
+description = "Microsoft Azure Identity Library for Python"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
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+    {file = "azure_identity-1.25.1.tar.gz", hash = "sha256:87ca8328883de6036443e1c37b40e8dc8fb74898240f61071e09d2e369361456"},
+]
+
+[package.dependencies]
+azure-core = ">=1.31.0"
+cryptography = ">=2.5"
+msal = ">=1.30.0"
+msal-extensions = ">=1.2.0"
+typing-extensions = ">=4.0.0"
 
 [[package]]
 name = "backoff"
@@ -287,14 +470,14 @@ yaml = ["PyYAML"]
 
 [[package]]
 name = "beautifulsoup4"
-version = "4.13.4"
+version = "4.14.2"
 description = "Screen-scraping library"
 optional = false
 python-versions = ">=3.7.0"
 groups = ["main"]
 files = [
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+    {file = "beautifulsoup4-4.14.2-py3-none-any.whl", hash = "sha256:5ef6fa3a8cbece8488d66985560f97ed091e22bbc4e9c2338508a9d5de6d4515"},
+    {file = "beautifulsoup4-4.14.2.tar.gz", hash = "sha256:2a98ab9f944a11acee9cc848508ec28d9228abfd522ef0fad6a02a72e0ded69e"},
 ]
 
 [package.dependencies]
@@ -310,34 +493,38 @@ lxml = ["lxml"]
 
 [[package]]
 name = "black"
-version = "25.9.0"
+version = "25.11.0"
 description = "The uncompromising code formatter."
 optional = false
 python-versions = ">=3.9"
 groups = ["dev"]
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+    {file = "black-25.11.0-cp39-cp39-win_amd64.whl", hash = "sha256:43945853a31099c7c0ff8dface53b4de56c41294fa6783c0441a8b1d9bf668bc"},
+    {file = "black-25.11.0-py3-none-any.whl", hash = "sha256:e3f562da087791e96cefcd9dda058380a442ab322a02e222add53736451f604b"},
+    {file = "black-25.11.0.tar.gz", hash = "sha256:9a323ac32f5dc75ce7470501b887250be5005a01602e931a15e45593f70f6e08"},
 ]
 
 [package.dependencies]
@@ -346,7 +533,7 @@ mypy-extensions = ">=0.4.3"
 packaging = ">=22.0"
 pathspec = ">=0.9.0"
 platformdirs = ">=2"
-pytokens = ">=0.1.10"
+pytokens = ">=0.3.0"
 
 [package.extras]
 colorama = ["colorama (>=0.4.3)"]
@@ -356,18 +543,18 @@ uvloop = ["uvloop (>=0.15.2)"]
 
 [[package]]
 name = "boto3"
-version = "1.40.49"
+version = "1.40.74"
 description = "The AWS SDK for Python"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "boto3-1.40.49-py3-none-any.whl", hash = "sha256:64eb7af5f66998b34ad629786ff4a7f81d74c2d4ef9e42f69d99499dbee46d07"},
-    {file = "boto3-1.40.49.tar.gz", hash = "sha256:ea37d133548fbae543092ada61aeb08bced8f9aecd2e96e803dc8237459a80a0"},
+    {file = "boto3-1.40.74-py3-none-any.whl", hash = "sha256:41fc8844b37ae27b24bcabf8369769df246cc12c09453988d0696ad06d6aa9ef"},
+    {file = "boto3-1.40.74.tar.gz", hash = "sha256:484e46bf394b03a7c31b34f90945ebe1390cb1e2ac61980d128a9079beac87d4"},
 ]
 
 [package.dependencies]
-botocore = ">=1.40.49,<1.41.0"
+botocore = ">=1.40.74,<1.41.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.14.0,<0.15.0"
 
@@ -376,14 +563,14 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.40.49"
+version = "1.40.74"
 description = "Low-level, data-driven core of boto 3."
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
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-    {file = "botocore-1.40.49.tar.gz", hash = "sha256:fe8d4cbcc22de84c20190ae728c46b931bafeb40fce247010fb071c31b6532b5"},
+    {file = "botocore-1.40.74-py3-none-any.whl", hash = "sha256:f39f5763e35e75f0bd91212b7b36120b1536203e8003cd952ef527db79702b15"},
+    {file = "botocore-1.40.74.tar.gz", hash = "sha256:57de0b9ffeada06015b3c7e5186c77d0692b210d9e5efa294f3214df97e2f8ee"},
 ]
 
 [package.dependencies]
@@ -392,7 +579,7 @@ python-dateutil = ">=2.1,<3.0.0"
 urllib3 = {version = ">=1.25.4,<2.2.0 || >2.2.0,<3", markers = "python_version >= \"3.10\""}
 
 [package.extras]
-crt = ["awscrt (==0.27.6)"]
+crt = ["awscrt (==0.28.4)"]
 
 [[package]]
 name = "camelot-py"
@@ -426,95 +613,113 @@ plot = ["matplotlib (>=3.7.5) ; python_version < \"3.12\"", "matplotlib (>=3.8.0
 
 [[package]]
 name = "certifi"
-version = "2025.6.15"
+version = "2025.11.12"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.7"
 groups = ["main", "tests"]
 files = [
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 name = "chardet"
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 [package.dependencies]
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
+[[package]]
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+version = "0.1.4"
+description = "Create data objects"
+optional = false
+python-versions = ">=3.5"
+groups = ["main"]
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 version = "0.4.6"
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 ]
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+markers = {main = "sys_platform == \"win32\" or platform_system == \"Windows\"", dev = "platform_system == \"Windows\" or sys_platform == \"win32\""}
+
+[[package]]
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+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+groups = ["main"]
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+
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+
+[[package]]
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+
+[package.extras]
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 sdist = ["build (>=1.0.0)"]
 ssh = ["bcrypt (>=3.1.5)"]
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 test-randomorder = ["pytest-randomly"]
 
 [[package]]
@@ -934,6 +1213,18 @@ files = [
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 ]
 
+[[package]]
+name = "defusedxml"
+version = "0.7.1"
+description = "XML bomb protection for Python stdlib modules"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+groups = ["main"]
+files = [
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+]
+
 [[package]]
 name = "dependency-injector"
 version = "4.48.2"
@@ -983,18 +1274,18 @@ yaml = ["pyyaml"]
 
 [[package]]
 name = "deprecated"
-version = "1.2.18"
+version = "1.3.1"
 description = "Python @deprecated decorator to deprecate old python classes, functions or methods."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7"
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 ]
 
 [package.dependencies]
-wrapt = ">=1.10,<2"
+wrapt = ">=1.10,<3"
 
 [package.extras]
 dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "setuptools ; python_version >= \"3.12\"", "tox"]
@@ -1015,6 +1306,176 @@ files = [
 graph = ["objgraph (>=1.7.2)"]
 profile = ["gprof2dot (>=2022.7.29)"]
 
+[[package]]
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+python-versions = "<4.0,>=3.9"
+groups = ["main"]
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+certifi = ">=2024.7.4"
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+pylatexenc = ">=2.10,<3.0"
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+
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+
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+
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+
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 [package.dependencies]
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 [package.extras]
 docs = ["Sphinx", "furo"]
-test = ["objgraph", "psutil"]
+test = ["objgraph", "psutil", "setuptools"]
 
 [[package]]
 name = "h11"
@@ -1735,21 +2244,35 @@ files = [
 
 [[package]]
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+version = "1.2.0"
 description = "Fast transfer of large files with the Hugging Face Hub."
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
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 ]
 
 [package.extras]
@@ -1826,32 +2349,32 @@ zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "httpx-sse"
-version = "0.4.1"
+version = "0.4.3"
 description = "Consume Server-Sent Event (SSE) messages with HTTPX."
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
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 ]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.33.2"
+version = "0.36.0"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
 groups = ["main"]
 files = [
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 ]
 
 [package.dependencies]
 filelock = "*"
 fsspec = ">=2023.5.0"
-hf-xet = {version = ">=1.1.2,<2.0.0", markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""}
+hf-xet = {version = ">=1.1.3,<2.0.0", markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""}
 packaging = ">=20.9"
 pyyaml = ">=5.1"
 requests = "*"
@@ -1859,32 +2382,47 @@ tqdm = ">=4.42.1"
 typing-extensions = ">=3.7.4.3"
 
 [package.extras]
-all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (==1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 cli = ["InquirerPy (==0.3.4)"]
-dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (==1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
 hf-transfer = ["hf-transfer (>=0.1.4)"]
 hf-xet = ["hf-xet (>=1.1.2,<2.0.0)"]
 inference = ["aiohttp"]
 mcp = ["aiohttp", "mcp (>=1.8.0)", "typer"]
 oauth = ["authlib (>=1.3.2)", "fastapi", "httpx", "itsdangerous"]
-quality = ["libcst (==1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "ruff (>=0.9.0)"]
+quality = ["libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "ruff (>=0.9.0)", "ty"]
 tensorflow = ["graphviz", "pydot", "tensorflow"]
 tensorflow-testing = ["keras (<3.0)", "tensorflow"]
-testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
 torch = ["safetensors[torch]", "torch"]
 typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
+[[package]]
+name = "humanfriendly"
+version = "10.0"
+description = "Human friendly output for text interfaces using Python"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+groups = ["main"]
+files = [
+    {file = "humanfriendly-10.0-py2.py3-none-any.whl", hash = "sha256:1697e1a8a8f550fd43c2865cd84542fc175a61dcb779b6fee18cf6b6ccba1477"},
+    {file = "humanfriendly-10.0.tar.gz", hash = "sha256:6b0b831ce8f15f7300721aa49829fc4e83921a9a301cc7f606be6686a2288ddc"},
+]
+
+[package.dependencies]
+pyreadline3 = {version = "*", markers = "sys_platform == \"win32\" and python_version >= \"3.8\""}
+
 [[package]]
 name = "idna"
-version = "3.10"
+version = "3.11"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
 groups = ["main", "tests"]
 files = [
-    {file = "idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3"},
-    {file = "idna-3.10.tar.gz", hash = "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9"},
+    {file = "idna-3.11-py3-none-any.whl", hash = "sha256:771a87f49d9defaf64091e6e6fe9c18d4833f140bd19464795bc32d966ca37ea"},
+    {file = "idna-3.11.tar.gz", hash = "sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902"},
 ]
 
 [package.extras]
@@ -1892,16 +2430,46 @@ all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2
 
 [[package]]
 name = "iniconfig"
-version = "2.1.0"
+version = "2.3.0"
 description = "brain-dead simple config-ini parsing"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.10"
 groups = ["dev"]
 files = [
-    {file = "iniconfig-2.1.0-py3-none-any.whl", hash = "sha256:9deba5723312380e77435581c6bf4935c94cbfab9b1ed33ef8d238ea168eb760"},
-    {file = "iniconfig-2.1.0.tar.gz", hash = "sha256:3abbd2e30b36733fee78f9c7f7308f2d0050e88f0087fd25c2645f63c773e1c7"},
+    {file = "iniconfig-2.3.0-py3-none-any.whl", hash = "sha256:f631c04d2c48c52b84d0d0549c99ff3859c98df65b3101406327ecc7d53fbf12"},
+    {file = "iniconfig-2.3.0.tar.gz", hash = "sha256:c76315c77db068650d49c5b56314774a7804df16fee4402c1f19d6d15d8c4730"},
+]
+
+[[package]]
+name = "isodate"
+version = "0.7.2"
+description = "An ISO 8601 date/time/duration parser and formatter"
+optional = false
+python-versions = ">=3.7"
+groups = ["main"]
+files = [
+    {file = "isodate-0.7.2-py3-none-any.whl", hash = "sha256:28009937d8031054830160fce6d409ed342816b543597cece116d966c6d99e15"},
+    {file = "isodate-0.7.2.tar.gz", hash = "sha256:4cd1aa0f43ca76f4a6c6c0292a85f40b35ec2e43e315b59f06e6d32171a953e6"},
+]
+
+[[package]]
+name = "jinja2"
+version = "3.1.6"
+description = "A very fast and expressive template engine."
+optional = false
+python-versions = ">=3.7"
+groups = ["main"]
+files = [
+    {file = "jinja2-3.1.6-py3-none-any.whl", hash = "sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67"},
+    {file = "jinja2-3.1.6.tar.gz", hash = "sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d"},
 ]
 
+[package.dependencies]
+MarkupSafe = ">=2.0"
+
+[package.extras]
+i18n = ["Babel (>=2.7)"]
+
 [[package]]
 name = "jmespath"
 version = "1.0.1"
@@ -1916,16 +2484,31 @@ files = [
 
 [[package]]
 name = "joblib"
-version = "1.5.1"
+version = "1.5.2"
 description = "Lightweight pipelining with Python functions"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "joblib-1.5.1-py3-none-any.whl", hash = "sha256:4719a31f054c7d766948dcd83e9613686b27114f190f717cec7eaa2084f8a74a"},
-    {file = "joblib-1.5.1.tar.gz", hash = "sha256:f4f86e351f39fe3d0d32a9f2c3d8af1ee4cec285aafcb27003dda5205576b444"},
+    {file = "joblib-1.5.2-py3-none-any.whl", hash = "sha256:4e1f0bdbb987e6d843c70cf43714cb276623def372df3c22fe5266b2670bc241"},
+    {file = "joblib-1.5.2.tar.gz", hash = "sha256:3faa5c39054b2f03ca547da9b2f52fde67c06240c31853f306aea97f13647b55"},
+]
+
+[[package]]
+name = "jsonlines"
+version = "4.0.0"
+description = "Library with helpers for the jsonlines file format"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "jsonlines-4.0.0-py3-none-any.whl", hash = "sha256:185b334ff2ca5a91362993f42e83588a360cf95ce4b71a73548502bda52a7c55"},
+    {file = "jsonlines-4.0.0.tar.gz", hash = "sha256:0c6d2c09117550c089995247f605ae4cf77dd1533041d366351f6f298822ea74"},
 ]
 
+[package.dependencies]
+attrs = ">=19.2.0"
+
 [[package]]
 name = "jsonpatch"
 version = "1.33"
@@ -1953,6 +2536,55 @@ files = [
     {file = "jsonpointer-3.0.0.tar.gz", hash = "sha256:2b2d729f2091522d61c3b31f82e11870f60b68f43fbc705cb76bf4b832af59ef"},
 ]
 
+[[package]]
+name = "jsonref"
+version = "1.1.0"
+description = "jsonref is a library for automatic dereferencing of JSON Reference objects for Python."
+optional = false
+python-versions = ">=3.7"
+groups = ["main"]
+files = [
+    {file = "jsonref-1.1.0-py3-none-any.whl", hash = "sha256:590dc7773df6c21cbf948b5dac07a72a251db28b0238ceecce0a2abfa8ec30a9"},
+    {file = "jsonref-1.1.0.tar.gz", hash = "sha256:32fe8e1d85af0fdefbebce950af85590b22b60f9e95443176adbde4e1ecea552"},
+]
+
+[[package]]
+name = "jsonschema"
+version = "4.25.1"
+description = "An implementation of JSON Schema validation for Python"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "jsonschema-4.25.1-py3-none-any.whl", hash = "sha256:3fba0169e345c7175110351d456342c364814cfcf3b964ba4587f22915230a63"},
+    {file = "jsonschema-4.25.1.tar.gz", hash = "sha256:e4a9655ce0da0c0b67a085847e00a3a51449e1157f4f75e9fb5aa545e122eb85"},
+]
+
+[package.dependencies]
+attrs = ">=22.2.0"
+jsonschema-specifications = ">=2023.03.6"
+referencing = ">=0.28.4"
+rpds-py = ">=0.7.1"
+
+[package.extras]
+format = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3987", "uri-template", "webcolors (>=1.11)"]
+format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "rfc3987-syntax (>=1.1.0)", "uri-template", "webcolors (>=24.6.0)"]
+
+[[package]]
+name = "jsonschema-specifications"
+version = "2025.9.1"
+description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "jsonschema_specifications-2025.9.1-py3-none-any.whl", hash = "sha256:98802fee3a11ee76ecaca44429fda8a41bff98b00a0f2838151b113f210cc6fe"},
+    {file = "jsonschema_specifications-2025.9.1.tar.gz", hash = "sha256:b540987f239e745613c7a9176f3edb72b832a4ac465cf02712288397832b5e8d"},
+]
+
+[package.dependencies]
+referencing = ">=0.31.0"
+
 [[package]]
 name = "langchain"
 version = "0.3.27"
@@ -2042,18 +2674,18 @@ typing-extensions = ">=4.7.0,<5.0.0"
 
 [[package]]
 name = "langchain-text-splitters"
-version = "0.3.9"
+version = "0.3.11"
 description = "LangChain text splitting utilities"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "langchain_text_splitters-0.3.9-py3-none-any.whl", hash = "sha256:cee0bb816211584ea79cc79927317c358543f40404bcfdd69e69ba3ccde54401"},
-    {file = "langchain_text_splitters-0.3.9.tar.gz", hash = "sha256:7cd1e5a3aaf609979583eeca2eb34177622570b8fa8f586a605c6b1c34e7ebdb"},
+    {file = "langchain_text_splitters-0.3.11-py3-none-any.whl", hash = "sha256:cf079131166a487f1372c8ab5d0bfaa6c0a4291733d9c43a34a16ac9bcd6a393"},
+    {file = "langchain_text_splitters-0.3.11.tar.gz", hash = "sha256:7a50a04ada9a133bbabb80731df7f6ddac51bc9f1b9cab7fa09304d71d38a6cc"},
 ]
 
 [package.dependencies]
-langchain-core = ">=0.3.72,<1.0.0"
+langchain-core = ">=0.3.75,<2.0.0"
 
 [[package]]
 name = "langdetect"
@@ -2072,30 +2704,44 @@ six = "*"
 
 [[package]]
 name = "langsmith"
-version = "0.3.45"
-description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
+version = "0.4.43"
+description = "Client library to connect to the LangSmith Observability and Evaluation Platform."
 optional = false
-python-versions = ">=3.9"
+python-versions = ">=3.10"
 groups = ["main"]
 files = [
-    {file = "langsmith-0.3.45-py3-none-any.whl", hash = "sha256:5b55f0518601fa65f3bb6b1a3100379a96aa7b3ed5e9380581615ba9c65ed8ed"},
-    {file = "langsmith-0.3.45.tar.gz", hash = "sha256:1df3c6820c73ed210b2c7bc5cdb7bfa19ddc9126cd03fdf0da54e2e171e6094d"},
+    {file = "langsmith-0.4.43-py3-none-any.whl", hash = "sha256:c97846a0b15061bc15844aac32fd1ce4a8e50983905f80a0d6079bb41b112ae3"},
+    {file = "langsmith-0.4.43.tar.gz", hash = "sha256:75c2468ab740438adfb32af8595ad8837c3af2bd1cdaf057d534182c5a07407a"},
 ]
 
 [package.dependencies]
 httpx = ">=0.23.0,<1"
-orjson = {version = ">=3.9.14,<4.0.0", markers = "platform_python_implementation != \"PyPy\""}
+orjson = {version = ">=3.9.14", markers = "platform_python_implementation != \"PyPy\""}
 packaging = ">=23.2"
-pydantic = {version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""}
-requests = ">=2,<3"
-requests-toolbelt = ">=1.0.0,<2.0.0"
-zstandard = ">=0.23.0,<0.24.0"
+pydantic = ">=1,<3"
+requests = ">=2.0.0"
+requests-toolbelt = ">=1.0.0"
+zstandard = ">=0.23.0"
 
 [package.extras]
-langsmith-pyo3 = ["langsmith-pyo3 (>=0.1.0rc2,<0.2.0)"]
-openai-agents = ["openai-agents (>=0.0.3,<0.1)"]
-otel = ["opentelemetry-api (>=1.30.0,<2.0.0)", "opentelemetry-exporter-otlp-proto-http (>=1.30.0,<2.0.0)", "opentelemetry-sdk (>=1.30.0,<2.0.0)"]
-pytest = ["pytest (>=7.0.0)", "rich (>=13.9.4,<14.0.0)"]
+claude-agent-sdk = ["claude-agent-sdk (>=0.1.0) ; python_version >= \"3.10\""]
+langsmith-pyo3 = ["langsmith-pyo3 (>=0.1.0rc2)"]
+openai-agents = ["openai-agents (>=0.0.3)"]
+otel = ["opentelemetry-api (>=1.30.0)", "opentelemetry-exporter-otlp-proto-http (>=1.30.0)", "opentelemetry-sdk (>=1.30.0)"]
+pytest = ["pytest (>=7.0.0)", "rich (>=13.9.4)", "vcrpy (>=7.0.0)"]
+vcr = ["vcrpy (>=7.0.0)"]
+
+[[package]]
+name = "latex2mathml"
+version = "3.78.1"
+description = "Pure Python library for LaTeX to MathML conversion"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "latex2mathml-3.78.1-py3-none-any.whl", hash = "sha256:f089b6d75e85b937f99693c93e8c16c0804008672c3dd2a3d25affd36f238100"},
+    {file = "latex2mathml-3.78.1.tar.gz", hash = "sha256:f941db80bf41db33f31df87b304e8b588f8166b813b0257c11c98f7a9d0aac71"},
+]
 
 [[package]]
 name = "lxml"
@@ -2246,16 +2892,55 @@ html5 = ["html5lib"]
 htmlsoup = ["BeautifulSoup4"]
 source = ["Cython (>=3.0.11,<3.1.0)"]
 
+[[package]]
+name = "magika"
+version = "0.6.3"
+description = "A tool to determine the content type of a file with deep learning"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "magika-0.6.3-py3-none-any.whl", hash = "sha256:eda443d08006ee495e02083b32e51b98cb3696ab595a7d13900d8e2ef506ec9d"},
+    {file = "magika-0.6.3-py3-none-macosx_11_0_arm64.whl", hash = "sha256:86901e64b05dde5faff408c9b8245495b2e1fd4c226e3393d3d2a3fee65c504b"},
+    {file = "magika-0.6.3-py3-none-manylinux_2_28_x86_64.whl", hash = "sha256:3d9661eedbdf445ac9567e97e7ceefb93545d77a6a32858139ea966b5806fb64"},
+    {file = "magika-0.6.3-py3-none-win_amd64.whl", hash = "sha256:e57f75674447b20cab4db928ae58ab264d7d8582b55183a0b876711c2b2787f3"},
+    {file = "magika-0.6.3.tar.gz", hash = "sha256:7cc52aa7359af861957043e2bf7265ed4741067251c104532765cd668c0c0cb1"},
+]
+
+[package.dependencies]
+click = ">=8.1.7"
+numpy = {version = ">=2.1.0", markers = "python_version >= \"3.13\""}
+onnxruntime = [
+    {version = ">=1.17.0,<=1.20.1", markers = "sys_platform == \"win32\" and python_version > \"3.9\""},
+    {version = ">=1.17.0", markers = "python_version > \"3.9\" and sys_platform != \"win32\""},
+]
+python-dotenv = ">=1.0.1"
+
+[[package]]
+name = "mammoth"
+version = "1.10.0"
+description = "Convert Word documents from docx to simple and clean HTML and Markdown"
+optional = false
+python-versions = ">=3.7"
+groups = ["main"]
+files = [
+    {file = "mammoth-1.10.0-py2.py3-none-any.whl", hash = "sha256:a1c87d5b98ca30230394267f98614b58b14b50f8031dc33ac9a535c6ab04eb99"},
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+
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 description = "Python port of markdown-it. Markdown parsing, done right!"
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-groups = ["dev"]
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@@ -2263,30 +2948,191 @@ mdurl = ">=0.1,<1.0"
 
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-plugins = ["mdit-py-plugins"]
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 profiling = ["gprof2dot"]
-rtd = ["jupyter_sphinx", "mdit-py-plugins", "myst-parser", "pyyaml", "sphinx", "sphinx-copybutton", "sphinx-design", "sphinx_book_theme"]
-testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
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+testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions", "requests"]
 
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 [package.dependencies]
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 version = "3.26.1"
@@ -2325,130 +3171,246 @@ version = "0.1.2"
 description = "Markdown URL utilities"
 optional = false
 python-versions = ">=3.7"
-groups = ["dev"]
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 ]
 
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+python-versions = "*"
+groups = ["main"]
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+
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 [[package]]
@@ -2489,27 +3451,36 @@ files = [
 ]
 
 [[package]]
-name = "nest-asyncio"
-version = "1.6.0"
-description = "Patch asyncio to allow nested event loops"
+name = "networkx"
+version = "3.5"
+description = "Python package for creating and manipulating graphs and networks"
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.11"
 groups = ["main"]
 files = [
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 ]
 
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+developer = ["mypy (>=1.15)", "pre-commit (>=4.1)"]
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+test-extras = ["pytest-mpl", "pytest-randomly"]
+
 [[package]]
 name = "nltk"
-version = "3.9.1"
+version = "3.9.2"
 description = "Natural Language Toolkit"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["main"]
 files = [
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 [package.dependencies]
@@ -2608,6 +3579,24 @@ rsa = ["cryptography (>=3.0.0)"]
 signals = ["blinker (>=1.4.0)"]
 signedtoken = ["cryptography (>=3.0.0)", "pyjwt (>=2.0.0,<3)"]
 
+[[package]]
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+version = "1.0.0"
+description = "A python wrapper to extract text from images on a mac system. Uses the vision framework from Apple."
+optional = false
+python-versions = ">=3.6"
+groups = ["main"]
+markers = "sys_platform == \"darwin\""
+files = [
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+]
+
+[package.dependencies]
+Click = ">=7.0"
+pillow = "*"
+pyobjc-framework-Vision = "*"
+
 [[package]]
 name = "olefile"
 version = "0.47"
@@ -2623,6 +3612,61 @@ files = [
 [package.extras]
 tests = ["pytest", "pytest-cov"]
 
+[[package]]
+name = "omegaconf"
+version = "2.3.0"
+description = "A flexible configuration library"
+optional = false
+python-versions = ">=3.6"
+groups = ["main"]
+files = [
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+]
+
+[package.dependencies]
+antlr4-python3-runtime = "==4.9.*"
+PyYAML = ">=5.1.0"
+
+[[package]]
+name = "onnxruntime"
+version = "1.20.1"
+description = "ONNX Runtime is a runtime accelerator for Machine Learning models"
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
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+]
+
+[package.dependencies]
+coloredlogs = "*"
+flatbuffers = "*"
+numpy = ">=1.21.6"
+packaging = "*"
+protobuf = "*"
+sympy = "*"
+
 [[package]]
 name = "opencv-python"
 version = "4.12.0.88"
@@ -2680,97 +3724,112 @@ et-xmlfile = "*"
 
 [[package]]
 name = "orjson"
-version = "3.10.18"
+version = "3.11.4"
 description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 markers = "platform_python_implementation != \"PyPy\""
 files = [
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 [[package]]
 name = "packaging"
-version = "24.2"
+version = "25.0"
 description = "Core utilities for Python packages"
 optional = false
 python-versions = ">=3.8"
 groups = ["main", "dev"]
 files = [
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 ]
 
 [[package]]
@@ -2892,21 +3951,6 @@ files = [
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 ]
 
-[[package]]
-name = "pbr"
-version = "6.1.1"
-description = "Python Build Reasonableness"
-optional = false
-python-versions = ">=2.6"
-groups = ["dev"]
-files = [
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-]
-
-[package.dependencies]
-setuptools = "*"
-
 [[package]]
 name = "pdf2image"
 version = "1.17.0"
@@ -3102,20 +4146,20 @@ xmp = ["defusedxml"]
 
 [[package]]
 name = "platformdirs"
-version = "4.3.8"
+version = "4.5.0"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 optional = false
-python-versions = ">=3.9"
+python-versions = ">=3.10"
 groups = ["dev"]
 files = [
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+    {file = "platformdirs-4.5.0.tar.gz", hash = "sha256:70ddccdd7c99fc5942e9fc25636a8b34d04c24b335100223152c2803e4063312"},
 ]
 
 [package.extras]
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-test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=8.3.4)", "pytest-cov (>=6)", "pytest-mock (>=3.14)"]
-type = ["mypy (>=1.14.1)"]
+docs = ["furo (>=2025.9.25)", "proselint (>=0.14)", "sphinx (>=8.2.3)", "sphinx-autodoc-typehints (>=3.2)"]
+test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=8.4.2)", "pytest-cov (>=7)", "pytest-mock (>=3.15.1)"]
+type = ["mypy (>=1.18.2)"]
 
 [[package]]
 name = "pluggy"
@@ -3123,7 +4167,7 @@ version = "1.6.0"
 description = "plugin and hook calling mechanisms for python"
 optional = false
 python-versions = ">=3.9"
-groups = ["dev"]
+groups = ["main", "dev"]
 files = [
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@@ -3133,220 +4177,350 @@ files = [
 dev = ["pre-commit", "tox"]
 testing = ["coverage", "pytest", "pytest-benchmark"]
 
+[[package]]
+name = "polyfactory"
+version = "3.0.0"
+description = "Mock data generation factories"
+optional = false
+python-versions = "<4.0,>=3.9"
+groups = ["main"]
+files = [
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+    {file = "polyfactory-3.0.0.tar.gz", hash = "sha256:c1be54fc10fe738415eef2248bcfc687e3d74634f5e73b70e4ba58952df31363"},
+]
+
+[package.dependencies]
+faker = ">=5.0.0"
+typing-extensions = ">=4.6.0"
+
+[package.extras]
+attrs = ["attrs (>=22.2.0)"]
+beanie = ["beanie", "pydantic[email]", "pymongo (<4.9)"]
+full = ["attrs", "beanie", "msgspec", "odmantic", "pydantic", "sqlalchemy"]
+msgspec = ["msgspec"]
+odmantic = ["odmantic (<1.0.0)", "pydantic[email]"]
+pydantic = ["eval-type-backport (>=0.2.2)", "pydantic[email] (>=1.10)"]
+sqlalchemy = ["sqlalchemy (>=1.4.29)"]
+
 [[package]]
 name = "propcache"
-version = "0.3.2"
+version = "0.4.1"
 description = "Accelerated property cache"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
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+version = "2.23"
 description = "C parser in Python"
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 python-versions = ">=3.8"
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 [package.extras]
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 [[package]]
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+version = "2.12.0"
 description = "Settings management using Pydantic"
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@@ -3548,6 +4745,18 @@ snowballstemmer = ">=2.2.0"
 [package.extras]
 toml = ["tomli (>=1.2.3) ; python_version < \"3.11\""]
 
+[[package]]
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+description = "Manipulate audio with an simple and easy high level interface"
+optional = false
+python-versions = "*"
+groups = ["main"]
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+
 [[package]]
 name = "pyflakes"
 version = "3.4.0"
@@ -3566,7 +4775,7 @@ version = "2.19.2"
 description = "Pygments is a syntax highlighting package written in Python."
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 python-versions = ">=3.8"
-groups = ["dev"]
+groups = ["main", "dev"]
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 [package.extras]
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 pymysql = ["pymysql"]
 sqlcipher = ["sqlcipher3_binary"]
 
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 [[package]]
@@ -4507,14 +6828,14 @@ typing-extensions = ">=3.7.4"
 
 [[package]]
 name = "typing-inspection"
-version = "0.4.1"
+version = "0.4.2"
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 [package.dependencies]
@@ -4592,21 +6913,21 @@ xlsx = ["msoffcrypto-tool", "networkx", "openpyxl", "pandas", "xlrd"]
 
 [[package]]
 name = "unstructured-client"
-version = "0.38.1"
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 [package.dependencies]
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 cryptography = ">=3.1"
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 httpx = ">=0.27.0"
-nest-asyncio = ">=1.6.0"
 pydantic = ">=2.11.2"
 pypdf = ">=4.0"
 requests-toolbelt = ">=1.0.0"
@@ -4677,350 +6998,441 @@ test = ["pytest (>=6.0.0)", "setuptools (>=65)"]
 
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-version = "1.17.2"
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+    {file = "zstandard-0.25.0.tar.gz", hash = "sha256:7713e1179d162cf5c7906da876ec2ccb9c3a9dcbdffef0cc7f70c3667a205f0b"},
+]
 
 [package.extras]
-cffi = ["cffi (>=1.11)"]
+cffi = ["cffi (>=1.17,<2.0) ; platform_python_implementation != \"PyPy\" and python_version < \"3.14\"", "cffi (>=2.0.0b) ; platform_python_implementation != \"PyPy\" and python_version >= \"3.14\""]
 
 [metadata]
 lock-version = "2.1"
-python-versions = "^3.13"
-content-hash = "1e802ca5a8874950a8c510ddec1d97c9abb463a68cdeb80ab72e78f9e4ba4bfe"
+python-versions = ">=3.13,<3.14"
+content-hash = "fd3698937f14b4ad09beb9a2e488f90f30f97062111107bde233087fca0ea8f4"
diff --git a/libs/extractor-api-lib/pyproject.toml b/libs/extractor-api-lib/pyproject.toml
index 030373e5..0ad3f273 100644
--- a/libs/extractor-api-lib/pyproject.toml
+++ b/libs/extractor-api-lib/pyproject.toml
@@ -43,6 +43,7 @@ per-file-ignores = """
   ./src/extractor_api_lib/container.py: CCE002,CCE001,
   ./src/extractor_api_lib/apis/extractor_api_base.py: WOT001,
   ./tests/*: S101,E501,
+  **/__init__.py: D107,
 """
 
 [tool.black]
@@ -76,7 +77,7 @@ known_local_folder = ["extractor_api_lib", "rag_core_lib"]
 max-line-length = 120
 
 [tool.poetry.dependencies]
-python = "^3.13"
+python = ">=3.13,<3.14"
 wheel = "^0.45.1"
 botocore = "^1.38.10"
 fasttext = "^0.9.3"
@@ -91,7 +92,8 @@ python-multipart = "^0.0.20"
 oauthlib = "^3.2.2"
 requests-oauthlib = "^2.0.0"
 pdfplumber = "0.11.7"
-opencv-python = "4.12.0.88"
+tesserocr = "^2.9.1"
+opencv-python-headless = "4.12.0.88"
 pdf2image = "1.17.0"
 datasets = "^3.5.1"
 pandas = "^2.2.2"
@@ -112,6 +114,13 @@ fake-useragent = "^2.2.0"
 pypdfium2 = "4.30.0"
 pypandoc-binary = "^1.15"
 starlette = ">=0.47.2,<0.49.0"
+markitdown = {version = "^0.1.3", extras = ["all"]}
+docling = "2.61.2"
+torch =      { version = "2.9.0+cpu",  source = "pytorch_cpu" }
+torchvision = { version = "0.24.0+cpu", source = "pytorch_cpu" }
+transformers = ">=4.53.3,<5.0.0"
+pypandoc = ">=1.6.2"
+pypandoc_binary = ">=1.6.2"
 
 [tool.poetry.group.dev.dependencies]
 pytest = "^8.3.5"
diff --git a/libs/extractor-api-lib/src/extractor_api_lib/dependency_container.py b/libs/extractor-api-lib/src/extractor_api_lib/dependency_container.py
index 6b196cd3..16101921 100644
--- a/libs/extractor-api-lib/src/extractor_api_lib/dependency_container.py
+++ b/libs/extractor-api-lib/src/extractor_api_lib/dependency_container.py
@@ -13,6 +13,15 @@
 from extractor_api_lib.impl.extractors.file_extractors.epub_extractor import (
     EpubExtractor,
 )
+from extractor_api_lib.impl.extractors.file_extractors.docling_extractor import (
+    DoclingFileExtractor,
+)
+from extractor_api_lib.impl.extractors.file_extractors.image_extractor import (
+    TesseractImageExtractor,
+)
+from extractor_api_lib.impl.extractors.file_extractors.markitdown_extractor import (
+    MarkitdownFileExtractor,
+)
 from extractor_api_lib.impl.extractors.file_extractors.ms_docs_extractor import (
     MSDocsExtractor,
 )
@@ -32,7 +41,6 @@
 from extractor_api_lib.impl.mapper.sitemap_document2information_piece import (
     SitemapLangchainDocument2InformationPiece,
 )
-from extractor_api_lib.impl.settings.pdf_extractor_settings import PDFExtractorSettings
 from extractor_api_lib.impl.settings.s3_settings import S3Settings
 from extractor_api_lib.impl.table_converter.dataframe2markdown import DataFrame2Markdown
 from extractor_api_lib.impl.utils.sitemap_extractor_utils import (
@@ -46,16 +54,18 @@ class DependencyContainer(DeclarativeContainer):
 
     # Settings
     settings_s3 = S3Settings()
-    settings_pdf_extractor = PDFExtractorSettings()
 
     sitemap_parsing_function = Factory(lambda: custom_sitemap_parser_function)
     sitemap_meta_function = Factory(lambda: custom_sitemap_metadata_parser_function)
 
     database_converter = Singleton(DataFrame2Markdown)
     file_service = Singleton(S3Service, settings_s3)
-    pdf_extractor = Singleton(PDFExtractor, file_service, settings_pdf_extractor, database_converter)
+    pdf_extractor = Singleton(PDFExtractor, file_service, database_converter)
     ms_docs_extractor = Singleton(MSDocsExtractor, file_service, database_converter)
     xml_extractor = Singleton(XMLExtractor, file_service)
+    markitdown_extractor = Singleton(MarkitdownFileExtractor, file_service)
+    docling_extractor = Singleton(DoclingFileExtractor, file_service)
+    image_extractor = Singleton(TesseractImageExtractor, file_service)
 
     intern2external = Singleton(Internal2ExternalInformationPiece)
     confluence_document2information_piece = Singleton(ConfluenceLangchainDocument2InformationPiece)
@@ -63,9 +73,22 @@ class DependencyContainer(DeclarativeContainer):
     sitemap_document2information_piece = Singleton(SitemapLangchainDocument2InformationPiece)
     epub_extractor = Singleton(EpubExtractor, file_service, langchain_document2information_piece)
 
-    file_extractors = List(pdf_extractor, ms_docs_extractor, xml_extractor, epub_extractor)
+    file_extractors = List(
+        image_extractor,
+        ms_docs_extractor,
+        xml_extractor,
+        epub_extractor,
+        pdf_extractor,
+        markitdown_extractor,
+        docling_extractor,
+    )
 
-    general_file_extractor = Singleton(GeneralFileExtractor, file_service, file_extractors, intern2external)
+    general_file_extractor = Singleton(
+        GeneralFileExtractor,
+        file_service=file_service,
+        available_extractors=file_extractors,
+        mapper=intern2external,
+    )
     confluence_extractor = Singleton(ConfluenceExtractor, mapper=confluence_document2information_piece)
 
     sitemap_extractor = Singleton(
diff --git a/libs/extractor-api-lib/src/extractor_api_lib/impl/api_endpoints/general_file_extractor.py b/libs/extractor-api-lib/src/extractor_api_lib/impl/api_endpoints/general_file_extractor.py
index 64e3903a..bf8ecf58 100644
--- a/libs/extractor-api-lib/src/extractor_api_lib/impl/api_endpoints/general_file_extractor.py
+++ b/libs/extractor-api-lib/src/extractor_api_lib/impl/api_endpoints/general_file_extractor.py
@@ -9,6 +9,7 @@
 from extractor_api_lib.models.extraction_request import ExtractionRequest
 from extractor_api_lib.file_services.file_service import FileService
 from extractor_api_lib.extractors.information_file_extractor import InformationFileExtractor
+from extractor_api_lib.models.dataclasses.internal_information_piece import InternalInformationPiece
 from extractor_api_lib.models.information_piece import InformationPiece
 
 logger = logging.getLogger(__name__)
@@ -64,15 +65,88 @@ async def aextract_information(self, extraction_request: ExtractionRequest) -> l
                     logger.debug("Temporary file created at %s.", temp_file_path)
                     logger.debug("Temp file created and content written.")
                 file_type = str(temp_file_path).split(".")[-1].upper()
+                # treat common image file extensions as IMAGE so extractors that declare IMAGE match them
+                image_extensions = {
+                    "JPEG",
+                    "JPG",
+                    "PNG",
+                    "TIFF",
+                    "TIF",
+                    "BMP",
+                }
+
+                ascii_doc_extensions = {
+                    "ASCIIDOC",
+                    "ADOC",
+                }
+
+                markdown_extensions = {
+                    "MD",
+                    "MARKDOWN",
+                    "MDX",
+                }
+
+                def _extractor_matches_file_type(extractor, ft: str) -> bool:
+                    for file_type_option in extractor.compatible_file_types:
+                        opt = str(file_type_option.value).upper()
+                        if (
+                            opt == ft
+                            or (opt == "IMAGE" and ft in image_extensions)
+                            or (opt == "ASCIIDOC" and ft in ascii_doc_extensions)
+                            or (opt == "MD" and ft in markdown_extensions)
+                        ):
+                            return True
+                    return False
+
                 correct_extractors = [
-                    x for x in self._available_extractors if file_type in [y.value for y in x.compatible_file_types]
+                    extractor
+                    for extractor in self._available_extractors
+                    if _extractor_matches_file_type(extractor, file_type)
                 ]
                 if not correct_extractors:
                     raise ValueError(f"No extractor found for file-ending {file_type}")
-                results = await correct_extractors[-1].aextract_content(
-                    temp_file_path, extraction_request.document_name
+
+                results = await self._run_extractors_with_fallback(
+                    list(reversed(correct_extractors)), temp_file_path, extraction_request.document_name
                 )
+
                 return [self._mapper.map_internal_to_external(x) for x in results if x.page_content is not None]
-        except Exception as e:
-            logger.exception("Error during document parsing")
-            raise e
+        except Exception:  # noqa: TRY302 reraising original exception
+            logger.exception("Error during document parsing.")
+            raise
+
+    async def _run_extractors_with_fallback(
+        self,
+        extractors: list[InformationFileExtractor],
+        temp_file_path: Path,
+        document_name: str,
+    ) -> list[InternalInformationPiece]:
+        errors: list[Exception] = []
+
+        for extractor in extractors:
+            extractor_name = extractor.__class__.__name__
+            try:
+                result = await extractor.aextract_content(temp_file_path, document_name)
+            except Exception as exc:
+                logger.warning(
+                    "Extractor %s failed for document %s.",
+                    extractor_name,
+                    document_name,
+                    exc_info=logger.isEnabledFor(logging.DEBUG),
+                )
+                errors.append(exc)
+                continue
+
+            if result:
+                return result
+
+            logger.info(
+                "Extractor %s returned no content for document %s.",
+                extractor_name,
+                document_name,
+            )
+
+        if errors:
+            raise RuntimeError("All extractors failed to process the document") from errors[-1]
+
+        return []
diff --git a/libs/extractor-api-lib/src/extractor_api_lib/impl/extractors/file_extractors/docling_extractor.py b/libs/extractor-api-lib/src/extractor_api_lib/impl/extractors/file_extractors/docling_extractor.py
new file mode 100644
index 00000000..ddf92bd9
--- /dev/null
+++ b/libs/extractor-api-lib/src/extractor_api_lib/impl/extractors/file_extractors/docling_extractor.py
@@ -0,0 +1,233 @@
+"""Module for Docling file extraction."""
+
+import logging
+import re
+from collections import defaultdict
+from pathlib import Path
+from typing import Any
+
+from docling.document_converter import (
+    ConversionResult,
+    DocumentConverter,
+    ExcelFormatOption,
+    ImageFormatOption,
+    InputFormat,
+    PdfFormatOption,
+    PowerpointFormatOption,
+    WordFormatOption,
+    HTMLFormatOption,
+    MarkdownFormatOption,
+    AsciiDocFormatOption,
+    CsvFormatOption,
+)
+from docling_core.types.doc import TableItem, TextItem
+
+from extractor_api_lib.extractors.information_file_extractor import InformationFileExtractor
+from extractor_api_lib.file_services.file_service import FileService
+from extractor_api_lib.impl.types.content_type import ContentType
+from extractor_api_lib.impl.types.file_type import FileType
+from extractor_api_lib.impl.utils.utils import hash_datetime
+from extractor_api_lib.models.dataclasses.internal_information_piece import InternalInformationPiece
+from docling.datamodel.pipeline_options import PdfPipelineOptions, TesseractCliOcrOptions
+
+logger = logging.getLogger(__name__)
+
+
+class DoclingFileExtractor(InformationFileExtractor):
+    """InformationFileExtractor implemented with Docling."""
+
+    DEBUG = False
+
+    def __init__(self, file_service: FileService):
+        """Initialize the DoclingFileExtractor with the given FileService.
+
+        Parameters
+        ----------
+        file_service : FileService
+            The file service to use for file operations.
+        """
+        super().__init__(file_service)
+        ocr = TesseractCliOcrOptions(lang=["deu", "eng"])
+        pipe_options = PdfPipelineOptions(
+            ocr_options=ocr,
+            do_table_structure=True,
+            generate_page_images=self.DEBUG,
+            images_scale=2.0,
+        )
+
+        format_options = {
+            InputFormat.PDF: PdfFormatOption(ocr=True, pipeline_options=pipe_options),
+            InputFormat.IMAGE: ImageFormatOption(ocr=True, pipeline_options=pipe_options),
+            InputFormat.DOCX: WordFormatOption(),
+            InputFormat.PPTX: PowerpointFormatOption(),
+            InputFormat.XLSX: ExcelFormatOption(),
+            InputFormat.HTML: HTMLFormatOption(),
+            InputFormat.MD: MarkdownFormatOption(),
+            InputFormat.ASCIIDOC: AsciiDocFormatOption(),
+            InputFormat.CSV: CsvFormatOption(),
+        }
+
+        self._converter = DocumentConverter(format_options=format_options)
+
+    @property
+    def compatible_file_types(self) -> list[FileType]:
+        """Return supported file types.
+
+        Returns
+        -------
+        list[FileType]
+            The list of supported file types.
+        """
+        return [
+            FileType.PDF,
+            FileType.DOCX,
+            FileType.PPTX,
+            FileType.XLSX,
+            FileType.HTML,
+            FileType.MD,
+            FileType.ASCIIDOC,
+            FileType.CSV,
+            FileType.IMAGE,
+        ]
+
+    @staticmethod
+    def _has_meaningful_table_content(table_markdown: str) -> bool:
+        return bool(re.search(r"\w", table_markdown))  # Check for at least one alphanumeric character
+
+    @staticmethod
+    def _resolve_item_page(item: Any) -> int:
+        provenance = getattr(item, "prov", None)
+        if isinstance(provenance, list):
+            for prov_entry in provenance:
+                page = getattr(prov_entry, "page_no", None)
+                if isinstance(page, int):
+                    return page
+        return -1  # Default page number when not found
+
+    async def aextract_content(self, file_path: Path, name: str) -> list[InternalInformationPiece]:
+        """Extract content from the given file path.
+
+        Parameters
+        ----------
+        file_path : Path
+            Path to the file to extract content from.
+        name : str
+            Name of the document.
+
+        Returns
+        -------
+        list[InternalInformationPiece]
+            Extracted information pieces.
+        """
+        conversion_result: ConversionResult | None = None
+        conversion_result = self._converter.convert(file_path)
+        document = conversion_result.document
+
+        if self.DEBUG:
+            self._store_reading_order_images(document, Path("/app/services/document-extractor/log"))
+
+        text_segments, table_segments = self._collect_page_segments(document)
+
+        pieces: list[InternalInformationPiece] = self._create_information_pieces(
+            text_segments,
+            name,
+            ContentType.TEXT,
+        )
+        table_pieces = [
+            self._create_information_piece(
+                document_name=name,
+                page=page,
+                content=table_markdown,
+                content_type=ContentType.TABLE,
+                additional_meta={
+                    "origin_extractor": "docling",
+                    "format": "markdown",
+                    "table_index": index,
+                },
+            )
+            for page, tables in table_segments.items()
+            for index, table_markdown in enumerate(tables, start=1)
+        ]
+
+        return pieces + table_pieces
+
+    def _store_reading_order_images(self, document, base_path: Path):
+        viz = document.get_visualization(
+            viz_mode="reading_order",
+            show_branch_numbering=True,
+        )
+
+        for page_no, image in viz.items():
+            image.save(base_path / f"reading_order_page_{page_no}.png")
+
+    def _create_information_pieces(self, segments, name, content_type: ContentType) -> list[InternalInformationPiece]:
+        pieces: list[InternalInformationPiece] = []
+
+        for page_number in sorted(segments):  # when ordered dict, sort not needed
+            segs = [segment for segment in segments[page_number] if segment]
+            if not segs:
+                continue
+            markdown_content = "\n\n".join(segs)
+            if not markdown_content.strip():
+                continue
+            pieces.append(
+                self._create_information_piece(
+                    document_name=name,
+                    page=page_number,
+                    content=markdown_content,
+                    content_type=content_type,
+                    additional_meta={
+                        "origin_extractor": "docling",
+                        "format": "markdown",
+                    },
+                )
+            )
+
+        return pieces
+
+    def _collect_page_segments(self, document: Any) -> tuple[dict[int, list], dict[int, list]]:
+        iterator = getattr(document, "iterate_items", None)
+        if not callable(iterator):
+            return {}, {}
+
+        segments: dict[int, list[str]] = defaultdict(list)
+        table_segments: dict[int, list[str]] = defaultdict(list)
+        for item, _level in iterator():
+            if isinstance(item, TextItem):
+                text = getattr(item, "text", "")
+                if not text:
+                    continue
+                page_number = self._resolve_item_page(item)
+                segments[page_number].append(text)
+            elif isinstance(item, TableItem):
+                table_markdown = item.export_to_markdown()
+                if not table_markdown:
+                    continue
+                if not self._has_meaningful_table_content(table_markdown):
+                    continue
+                page_number = self._resolve_item_page(item)
+                table_segments[page_number].append(table_markdown)
+        return segments, table_segments
+
+    def _create_information_piece(
+        self,
+        document_name: str,
+        page: int,
+        content: str,
+        content_type: ContentType,
+        additional_meta: dict[str, Any] | None = None,
+    ) -> InternalInformationPiece:
+        metadata = {
+            "document": document_name,
+            "page": page,
+            "id": hash_datetime(),
+            "related": [],
+        }
+        if additional_meta:
+            metadata.update(additional_meta)
+
+        return InternalInformationPiece(
+            type=content_type,
+            metadata=metadata,
+            page_content=content,
+        )
diff --git a/libs/extractor-api-lib/src/extractor_api_lib/impl/extractors/file_extractors/image_extractor.py b/libs/extractor-api-lib/src/extractor_api_lib/impl/extractors/file_extractors/image_extractor.py
new file mode 100644
index 00000000..a2475013
--- /dev/null
+++ b/libs/extractor-api-lib/src/extractor_api_lib/impl/extractors/file_extractors/image_extractor.py
@@ -0,0 +1,123 @@
+"""Module for Tesseract image extraction."""
+
+import logging
+from pathlib import Path
+from typing import Sequence
+
+from PIL import Image, UnidentifiedImageError
+import pytesseract
+from pytesseract import TesseractError
+
+from extractor_api_lib.extractors.information_file_extractor import InformationFileExtractor
+from extractor_api_lib.file_services.file_service import FileService
+from extractor_api_lib.impl.types.content_type import ContentType
+from extractor_api_lib.impl.types.file_type import FileType
+from extractor_api_lib.impl.utils.utils import hash_datetime
+from extractor_api_lib.models.dataclasses.internal_information_piece import InternalInformationPiece
+
+logger = logging.getLogger(__name__)
+
+
+class TesseractImageExtractor(InformationFileExtractor):
+    """InformationFileExtractor specialization that OCRs image files via Tesseract."""
+
+    DEFAULT_LANGUAGES: tuple[str, ...] = ("eng", "deu")
+    ORIGIN = "tesseract-image"
+
+    def __init__(self, file_service: FileService, languages: Sequence[str] | None = None, psm: int = 6):
+        """Initialize the TesseractImageExtractor with the given FileService.
+
+        Parameters
+        ----------
+        file_service : FileService
+            The file service to use for file operations.
+        languages : Sequence[str] | None, optional
+            The languages to use for OCR, by default None which uses DEFAULT_LANGUAGES.
+        psm : int, optional
+            The Page Segmentation Mode (PSM) for Tesseract OCR, by default 6.
+        """
+        super().__init__(file_service)
+        self._languages = self._sanitize_languages(languages)
+        self._tesseract_config = f"--psm {psm}"
+
+    @property
+    def compatible_file_types(self) -> list[FileType]:
+        """Return the list of file types handled by this extractor.
+
+        Returns
+        -------
+        list[FileType]
+            The list of file types handled by this extractor.
+        """
+        return [FileType.IMAGE]
+
+    @property
+    def _ocr_language(self) -> str:
+        return "+".join(self._languages)
+
+    async def aextract_content(self, file_path: Path, name: str) -> list[InternalInformationPiece]:
+        """Asynchronously extract content from an image file using OCR.
+
+        Only supports single-frame images.
+
+        Parameters
+        ----------
+        file_path : Path
+            The path to the image file.
+        name : str
+            The name of the document.
+
+        Returns
+        -------
+        list[InternalInformationPiece]
+            The list of extracted information pieces.
+        """
+        try:
+            with Image.open(file_path) as image:
+                self._validate_single_frame(image, file_path)
+                frame = image.convert("RGB")
+        except UnidentifiedImageError as exc:
+            raise ValueError(f"Unsupported image file: {file_path}") from exc
+
+        pieces: list[InternalInformationPiece] = []
+        text = self._perform_ocr(frame)
+        if text:
+            pieces.append(self._build_piece(document_name=name, page=1, content=text))
+
+        if not pieces:
+            logger.info("No OCR content produced for image file: %s", file_path)
+
+        return pieces
+
+    def _sanitize_languages(self, languages: Sequence[str] | None) -> list[str]:
+        normalized = [lang.strip() for lang in languages or self.DEFAULT_LANGUAGES if lang and lang.strip()]
+        return normalized or list(self.DEFAULT_LANGUAGES)
+
+    def _build_piece(self, document_name: str, page: int, content: str) -> InternalInformationPiece:
+        metadata = {
+            "document": document_name,
+            "page": page,
+            "id": hash_datetime(),
+            "related": [],
+            "origin_extractor": self.ORIGIN,
+            "format": "markdown",
+        }
+        return InternalInformationPiece(type=ContentType.TEXT, metadata=metadata, page_content=content)
+
+    def _perform_ocr(self, frame: Image.Image) -> str:
+        try:
+            text = pytesseract.image_to_string(frame, lang=self._ocr_language, config=self._tesseract_config)
+        except TesseractError:  # pragma: no cover - defensive logging
+            logger.warning(
+                "Tesseract OCR failed.",
+                exc_info=logger.isEnabledFor(logging.DEBUG),
+            )
+            return ""
+
+        return text.strip()
+
+    def _validate_single_frame(self, image: Image.Image, file_path: Path) -> None:
+        frame_count = getattr(image, "n_frames", 1)
+        if frame_count > 1:
+            logger.warning("Multi-frame images are not supported: %s", file_path)
+            raise ValueError(f"Multi-frame images are not supported: {file_path}")
diff --git a/libs/extractor-api-lib/src/extractor_api_lib/impl/extractors/file_extractors/markitdown_extractor.py b/libs/extractor-api-lib/src/extractor_api_lib/impl/extractors/file_extractors/markitdown_extractor.py
new file mode 100644
index 00000000..3184a8c0
--- /dev/null
+++ b/libs/extractor-api-lib/src/extractor_api_lib/impl/extractors/file_extractors/markitdown_extractor.py
@@ -0,0 +1,295 @@
+"""Module for MarkItDown-based file extraction."""
+
+import logging
+import re
+from io import BytesIO
+from pathlib import Path
+from typing import Any, Iterable
+
+from markdown_it import MarkdownIt
+from markitdown import MarkItDown
+from pypdf import PdfReader, PdfWriter
+
+from extractor_api_lib.extractors.information_file_extractor import InformationFileExtractor
+from extractor_api_lib.file_services.file_service import FileService
+from extractor_api_lib.impl.types.content_type import ContentType
+from extractor_api_lib.impl.types.file_type import FileType
+from extractor_api_lib.impl.utils.utils import hash_datetime
+from extractor_api_lib.models.dataclasses.internal_information_piece import (
+    InternalInformationPiece,
+)
+
+logger = logging.getLogger(__name__)
+
+
+class MarkitdownFileExtractor(InformationFileExtractor):
+    """InformationFileExtractor implementation powered by MarkItDown."""
+
+    # MarkItDown's PPTX converter annotates slides like:
+    # <!-- Slide number: 3 -->
+    SLIDE_MARKER_RE = re.compile(r"<!--\s*Slide number:\s*(\d+)\s*-->")
+
+    def __init__(self, file_service: FileService):
+        """Initialize the MarkitdownFileExtractor with the given FileService.
+
+        Parameters
+        ----------
+        file_service : FileService
+            The file service to use for file operations.
+        """
+        super().__init__(file_service)
+        self._converter = MarkItDown()
+        self._md_table_parser = MarkdownIt("commonmark").enable("table")
+
+    @property
+    def compatible_file_types(self) -> list[FileType]:
+        """Return the list of file types handled by this extractor.
+
+        Returns
+        -------
+        list[FileType]
+            The list of file types handled by this extractor.
+        """
+        return [
+            FileType.PDF,
+            FileType.DOCX,
+            FileType.PPTX,
+            FileType.EPUB,
+            FileType.HTML,
+            FileType.CSV,
+            FileType.TXT,
+        ]
+
+    @staticmethod
+    def _extract_markdown(result: object) -> str:
+        """Robustly grab markdown from a DocumentConverterResult or string."""
+        if result is None:
+            return ""
+
+        # Newer MarkItDown prefers `.markdown`; `.text_content` is kept for BC.
+        for attr in ("markdown", "text_content", "text"):
+            value = getattr(result, attr, None)
+            if isinstance(value, str) and value.strip():
+                return value
+
+        if isinstance(result, str):
+            return result
+
+        return ""
+
+    async def aextract_content(self, file_path: Path, name: str) -> list[InternalInformationPiece]:
+        """Asynchronously extract content from a file using MarkItDown.
+
+        Parameters
+        ----------
+        file_path : Path
+            The path to the file.
+        name : str
+            The name of the document.
+
+        Returns
+        -------
+        list[InternalInformationPiece]
+            The list of extracted information pieces.
+        """
+        suffix = file_path.suffix.lower()
+
+        if suffix == ".pdf":
+            return self._extract_pdf_pages(file_path, name)
+
+        with file_path.open("rb") as stream:
+            result = self._converter.convert_stream(stream, filename=file_path.name)
+
+        markdown = self._extract_markdown(result)
+        if not markdown:
+            logger.info("MarkItDown returned no markdown for file: %s", file_path)
+            return []
+
+        # --- PPTX: split by slide markers -----------------------------------
+        if suffix == ".pptx":
+            return self._extract_pptx_pages(document_name=name, markdown=markdown)
+
+        # --- DOCX, EPUB, HTML, CSV, TXT: single logical page ----------------
+        return list(
+            self._build_pieces_for_markdown(
+                document_name=name,
+                page=1,
+                markdown=markdown,
+            )
+        )
+
+    def _extract_markdown_tables(self, markdown: str) -> list[str]:
+        """Use markdown-it-py to extract table blocks as markdown slices."""
+        if not markdown:
+            return []
+
+        lines = markdown.splitlines()
+        tokens = self._md_table_parser.parse(markdown)
+
+        tables: list[str] = []
+        for token in tokens:
+            if token.type == "table_open" and token.map:
+                start_line, end_line = token.map
+                start_line = max(0, start_line)
+                end_line = min(len(lines), end_line)
+                if start_line >= end_line:
+                    continue
+
+                table_src = "\n".join(lines[start_line:end_line]).strip()
+                if table_src:
+                    tables.append(table_src)
+
+        return tables
+
+    def _build_pieces_for_markdown(
+        self,
+        document_name: str,
+        page: int,
+        markdown: str,
+    ) -> Iterable[InternalInformationPiece]:
+        """Create one TEXT + N TABLE pieces for the given markdown block."""
+        if not markdown:
+            return []
+
+        pieces: list[InternalInformationPiece] = []
+
+        # Full-page text
+        pieces.append(
+            self._create_information_piece(
+                document_name=document_name,
+                page=page,
+                content=markdown,
+                content_type=ContentType.TEXT,
+                additional_meta={"origin_extractor": "markitdown"},
+            )
+        )
+
+        # Page-level tables
+        for idx, table_markdown in enumerate(self._extract_markdown_tables(markdown), start=1):
+            pieces.append(
+                self._create_information_piece(
+                    document_name=document_name,
+                    page=page,
+                    content=table_markdown,
+                    content_type=ContentType.TABLE,
+                    additional_meta={
+                        "origin_extractor": "markitdown",
+                        "table_index": idx,
+                    },
+                )
+            )
+
+        return pieces
+
+    # -------------------------------------------------------------- PDF pages
+
+    def _extract_pdf_pages(self, file_path: Path, name: str) -> list[InternalInformationPiece]:
+        """Split the PDF and run MarkItDown once per page.
+
+        This ensures that the page number is preserved in the extracted pieces.
+
+        Parameters
+        ----------
+        file_path : Path
+            The path to the PDF file.
+        name : str
+            The name of the document.
+        """
+        reader = PdfReader(str(file_path))
+        pieces: list[InternalInformationPiece] = []
+
+        for page_index, page in enumerate(reader.pages, start=1):
+            writer = PdfWriter()
+            writer.add_page(page)
+
+            buf = BytesIO()
+            writer.write(buf)
+            buf.seek(0)
+
+            result = self._converter.convert_stream(
+                buf,
+                filename=f"{file_path.name}-page-{page_index}.pdf",
+            )
+            markdown = self._extract_markdown(result)
+            if not markdown:
+                logger.debug("Empty markdown for %s page %s", file_path, page_index)
+                continue
+
+            pieces.extend(
+                self._build_pieces_for_markdown(
+                    document_name=name,
+                    page=page_index,
+                    markdown=markdown,
+                )
+            )
+
+        if not pieces:
+            logger.info("No content extracted from PDF: %s", file_path)
+
+        return pieces
+
+    # ------------------------------------------------------------- PPTX pages
+
+    def _extract_pptx_pages(self, document_name: str, markdown: str) -> list[InternalInformationPiece]:
+        """Split PPTX markdown by slide comments and tag pieces with slide number."""
+        slides = self._split_pptx_markdown(markdown)
+        pieces: list[InternalInformationPiece] = []
+
+        for page, slide_markdown in slides:
+            pieces.extend(
+                self._build_pieces_for_markdown(
+                    document_name=document_name,
+                    page=page,
+                    markdown=slide_markdown,
+                )
+            )
+
+        return pieces
+
+    def _split_pptx_markdown(self, markdown: str) -> list[tuple[int, str]]:
+        """
+        Split PPTX-converted markdown into (slide_number, markdown_chunk).
+
+        Relies on MarkItDown's `<!-- Slide number: N -->` comments, which are
+        part of the PPTX converter output and commonly used for slide-wise RAG.
+        """
+        matches = list(self.SLIDE_MARKER_RE.finditer(markdown))
+        if not matches:
+            cleaned = markdown.strip()
+            return [(1, cleaned)] if cleaned else []
+
+        slides: list[tuple[int, str]] = []
+        for i, match in enumerate(matches):
+            slide_no = int(match.group(1))
+            start = match.start()
+            end = matches[i + 1].start() if i + 1 < len(matches) else len(markdown)
+            chunk = markdown[start:end].strip()
+            if chunk:
+                slides.append((slide_no, chunk))
+
+        return slides
+
+    # -------------------------------------------------------------- piece ctor
+
+    def _create_information_piece(
+        self,
+        document_name: str,
+        page: int,
+        content: str,
+        content_type: ContentType,
+        additional_meta: dict[str, Any] | None = None,
+    ) -> InternalInformationPiece:
+        metadata: dict[str, Any] = {
+            "document": document_name,
+            "page": page,
+            "id": hash_datetime(),
+            "related": [],
+        }
+        if additional_meta:
+            metadata.update(additional_meta)
+
+        return InternalInformationPiece(
+            type=content_type,
+            metadata=metadata,
+            page_content=content,
+        )
diff --git a/libs/extractor-api-lib/src/extractor_api_lib/impl/extractors/file_extractors/pdf_extractor.py b/libs/extractor-api-lib/src/extractor_api_lib/impl/extractors/file_extractors/pdf_extractor.py
index a7b6d231..9d807528 100644
--- a/libs/extractor-api-lib/src/extractor_api_lib/impl/extractors/file_extractors/pdf_extractor.py
+++ b/libs/extractor-api-lib/src/extractor_api_lib/impl/extractors/file_extractors/pdf_extractor.py
@@ -17,7 +17,6 @@
 import camelot
 
 
-from extractor_api_lib.impl.settings.pdf_extractor_settings import PDFExtractorSettings
 from extractor_api_lib.impl.types.content_type import ContentType
 from extractor_api_lib.impl.types.file_type import FileType
 from extractor_api_lib.impl.utils.utils import hash_datetime
@@ -53,7 +52,6 @@ class PDFExtractor(InformationFileExtractor):
     def __init__(
         self,
         file_service: FileService,
-        pdf_extractor_settings: PDFExtractorSettings,
         dataframe_converter: DataframeConverter,
     ):
         """Initialize the PDFExtractor.
@@ -62,14 +60,11 @@ def __init__(
         ----------
         file_service : FileService
             Handler for downloading the file to extract content from and upload results to if required.
-        pdf_extractor_settings : PDFExtractorSettings
-            Settings for the pdf extractor.
         dataframe_converter: DataframeConverter
             Converter for dataframe tables to a search and saveable format.
         """
         super().__init__(file_service=file_service)
         self._dataframe_converter = dataframe_converter
-        self._settings = pdf_extractor_settings
         self.old_image_id = None
         self._lang_map = {
             "en": "eng",
@@ -213,6 +208,9 @@ def _extract_tables_from_text_page(
                         converted_table,
                         ContentType.TABLE,
                         information_id=hash_datetime(),
+                        additional_meta={
+                            "origin_extractor": "custom_pdf_extractor",
+                        },
                     )
                 )
         except Exception:
@@ -318,6 +316,7 @@ def _extract_tables_from_scanned_page(
                                         "table_method": "camelot",
                                         "accuracy": table.accuracy,
                                         "table_index": i,
+                                        "origin_extractor": "custom_pdf_extractor",
                                     },
                                 )
                             )
@@ -450,6 +449,9 @@ def _process_text_content(
                         full_content,
                         ContentType.TEXT,
                         information_id=hash_datetime(),
+                        additional_meta={
+                            "origin_extractor": "custom_pdf_extractor",
+                        },
                     )
                 )
 
diff --git a/libs/extractor-api-lib/src/extractor_api_lib/impl/settings/pdf_extractor_settings.py b/libs/extractor-api-lib/src/extractor_api_lib/impl/settings/pdf_extractor_settings.py
deleted file mode 100644
index 83537b8c..00000000
--- a/libs/extractor-api-lib/src/extractor_api_lib/impl/settings/pdf_extractor_settings.py
+++ /dev/null
@@ -1,20 +0,0 @@
-"""Module for the settings of the S3 storage."""
-
-from pydantic import Field
-from pydantic_settings import BaseSettings
-
-
-class PDFExtractorSettings(BaseSettings):
-    """Contains settings regarding the S3 storage."""
-
-    class Config:
-        """Config class for reading Fields from env."""
-
-        env_prefix = "pdf_extractor_"
-        case_sensitive = False
-
-    footer_height: int = Field(default=155)
-    diagrams_folder_name: str = Field(
-        default="connection_diagrams",
-        description="Name of the folder where diagrams are stored.",
-    )
diff --git a/libs/extractor-api-lib/src/extractor_api_lib/impl/types/file_type.py b/libs/extractor-api-lib/src/extractor_api_lib/impl/types/file_type.py
index 6a6f1557..158a8267 100644
--- a/libs/extractor-api-lib/src/extractor_api_lib/impl/types/file_type.py
+++ b/libs/extractor-api-lib/src/extractor_api_lib/impl/types/file_type.py
@@ -10,5 +10,12 @@ class FileType(StrEnum):
     PDF = "PDF"
     DOCX = "DOCX"
     PPTX = "PPTX"
+    XLSX = "XLSX"
     XML = "XML"
     EPUB = "EPUB"
+    HTML = "HTML"
+    MD = "MD"
+    ASCIIDOC = "ASCIIDOC"
+    CSV = "CSV"
+    TXT = "TXT"
+    IMAGE = "IMAGE"
diff --git a/libs/extractor-api-lib/tests/docling_extractor_test.py b/libs/extractor-api-lib/tests/docling_extractor_test.py
new file mode 100644
index 00000000..e53ffe01
--- /dev/null
+++ b/libs/extractor-api-lib/tests/docling_extractor_test.py
@@ -0,0 +1,276 @@
+"""Tests for the Docling-backed file extractor."""
+
+from pathlib import Path
+
+import pytest
+
+from extractor_api_lib.impl.extractors.file_extractors import docling_extractor as docling_module
+from extractor_api_lib.impl.extractors.file_extractors.docling_extractor import DoclingFileExtractor
+from extractor_api_lib.impl.types.content_type import ContentType
+from extractor_api_lib.file_services.file_service import FileService
+
+
+class _FakeProv:
+    def __init__(self, page_no: int):
+        self.page_no = page_no
+
+
+class _FakeTextItem:
+    def __init__(self, text: str, page: int):
+        self.text = text
+        self.prov = [_FakeProv(page)]
+
+
+class _FakeTableItem:
+    def __init__(self, markdown: str, page: int):
+        self._markdown = markdown
+        self.prov = [_FakeProv(page)]
+
+    def export_to_markdown(self):
+        return self._markdown
+
+
+class _FakeDocument:
+    def __init__(self, items):
+        self._items = items
+
+    def iterate_items(self):
+        return iter(self._items)
+
+
+class _FakeConversionResult:
+    def __init__(self, document):
+        self.document = document
+        self.pages = [object()]
+        self.errors = [object()]
+        self.assembled = object()
+
+
+class _FakeConverter:
+    def __init__(self, document):
+        self._document = document
+        self._conversion_result: _FakeConversionResult | None = None
+
+    def convert(self, _):
+        self._conversion_result = _FakeConversionResult(self._document)
+        return self._conversion_result
+
+
+class _NoopFileService(FileService):
+    def download_folder(self, source: str, target: Path) -> None:  # pragma: no cover - not used in tests
+        raise NotImplementedError
+
+    def download_file(self, source: str, target_file) -> None:  # pragma: no cover - not used in tests
+        raise NotImplementedError
+
+    def upload_file(self, file_path: str, file_name: str) -> None:  # pragma: no cover - not used in tests
+        raise NotImplementedError
+
+    def get_all_sorted_file_names(self) -> list[str]:  # pragma: no cover - not used in tests
+        raise NotImplementedError
+
+    def delete_file(self, file_name: str) -> None:  # pragma: no cover - not used in tests
+        raise NotImplementedError
+
+
+DATA_DIR = Path(__file__).parent / "test_data"
+
+
+@pytest.mark.asyncio
+async def test_aextract_content_groups_by_page(monkeypatch: pytest.MonkeyPatch):
+    """
+    Verify that text and table segments are grouped per originating page.
+
+    Parameters
+    ----------
+    monkeypatch : pytest.MonkeyPatch
+        Pytest fixture used to inject fake Docling items.
+    """
+    document = _FakeDocument(
+        [
+            (_FakeTextItem("First page paragraph", page=1), 0),
+            (_FakeTableItem("| Col |\n| --- |\n| Value |", page=1), 0),
+            (_FakeTextItem("Second page text", page=2), 0),
+        ]
+    )
+
+    monkeypatch.setattr(docling_module, "TextItem", _FakeTextItem)
+    monkeypatch.setattr(docling_module, "TableItem", _FakeTableItem)
+
+    extractor = DoclingFileExtractor.__new__(DoclingFileExtractor)
+    extractor._converter = _FakeConverter(document)
+    extractor._file_service = None
+
+    pieces = await extractor.aextract_content(Path("dummy"), "sample.pdf")
+
+    assert len(pieces) == 3
+
+    text_pages = [piece for piece in pieces if piece.type == ContentType.TEXT]
+    assert len(text_pages) == 2
+    page_one_piece = next(piece for piece in text_pages if piece.metadata["page"] == 1)
+    assert "First page paragraph" in page_one_piece.page_content
+
+    page_two_piece = next(piece for piece in text_pages if piece.metadata["page"] == 2)
+    assert "Second page text" in page_two_piece.page_content
+
+    table_pieces = [piece for piece in pieces if piece.type == ContentType.TABLE]
+    assert len(table_pieces) == 1
+    table_piece = table_pieces[0]
+    assert table_piece.metadata["table_index"] == 1
+    assert "| Col |" in table_piece.page_content
+
+
+@pytest.mark.asyncio
+async def test_dash_only_table_is_dropped(monkeypatch: pytest.MonkeyPatch):
+    """
+    Ensure tables without alphanumeric cells are excluded from extraction.
+
+    Parameters
+    ----------
+    monkeypatch : pytest.MonkeyPatch
+        Pytest fixture used to inject fake Docling items.
+    """
+    document = _FakeDocument(
+        [
+            (_FakeTableItem("| --- |\n| --- |", page=1), 0),
+            (_FakeTextItem("Real content", page=1), 0),
+        ]
+    )
+
+    monkeypatch.setattr(docling_module, "TextItem", _FakeTextItem)
+    monkeypatch.setattr(docling_module, "TableItem", _FakeTableItem)
+
+    extractor = DoclingFileExtractor.__new__(DoclingFileExtractor)
+    extractor._converter = _FakeConverter(document)
+    extractor._file_service = None
+
+    pieces = await extractor.aextract_content(Path("dummy"), "sample.pdf")
+
+    assert len(pieces) == 1
+    content = pieces[0].page_content.strip()
+    assert content == "Real content"
+    assert "---" not in content
+
+
+@pytest.mark.asyncio
+async def test_docling_extracts_real_html_document():
+    """
+    Run an integration-like check against the bundled HTML sample.
+
+    Returns
+    -------
+    None
+        The assertions validate textual and tabular extraction.
+    """
+    sample_file = DATA_DIR / "sample.html"
+    extractor = DoclingFileExtractor(_NoopFileService())
+
+    pieces = await extractor.aextract_content(sample_file, sample_file.name)
+
+    assert pieces, "Docling should return at least one information piece"
+
+    text_piece = next(piece for piece in pieces if piece.type == ContentType.TEXT)
+    assert "Docling Sample Document" in text_piece.page_content
+    assert "Trailing text" in text_piece.page_content
+
+    table_piece = next(piece for piece in pieces if piece.type == ContentType.TABLE)
+    assert "Alpha" in table_piece.page_content
+    assert "Beta" in table_piece.page_content
+    assert table_piece.metadata["origin_extractor"] == "docling"
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize(
+    "relative_path",
+    [
+        "mixed_content_document.pdf",
+        "text_based_document.pdf",
+        "scanned_document.pdf",
+        "multi_column_document.pdf",
+        "sample.html",
+        "sample.md",
+        "sample.csv",
+        "sample.adoc",
+        "sample.png",
+        "image.png",
+        "sample.docx",
+        "sample.pptx",
+        "sample.xlsx",
+    ],
+)
+async def test_docling_handles_various_inputs(relative_path: str):
+    """
+    Confirm that supported sample files are processed without raising errors.
+
+    Parameters
+    ----------
+    relative_path : str
+        The fixture file name to feed into the extractor.
+    """
+    sample_file = DATA_DIR / relative_path
+    extractor = DoclingFileExtractor(_NoopFileService())
+
+    pieces = await extractor.aextract_content(sample_file, sample_file.name)
+    assert isinstance(pieces, list)
+    for piece in pieces:
+        assert piece.page_content is not None
+
+
+def test_has_meaningful_table_content():
+    """
+    Verify that the helper detects tables with substantive content.
+
+    Returns
+    -------
+    None
+        The assertions cover both positive and negative inputs.
+    """
+    assert DoclingFileExtractor._has_meaningful_table_content("| A |\n| --- |\n| 1 |") is True
+    assert DoclingFileExtractor._has_meaningful_table_content("| --- |\n| --- |") is False
+
+
+def test_resolve_item_page_prefers_valid_page():
+    """
+    Ensure provenance details are converted to numeric page markers.
+
+    Returns
+    -------
+    None
+        The assertions exercise found and missing provenance values.
+    """
+
+    class _Prov:
+        def __init__(self, page_no: int):
+            self.page_no = page_no
+
+    class _Item:
+        def __init__(self, page_numbers: list[int]):
+            self.prov = [_Prov(page) for page in page_numbers]
+
+    assert DoclingFileExtractor._resolve_item_page(_Item([3, 4])) == 3
+    assert DoclingFileExtractor._resolve_item_page(_Item([])) == -1
+
+
+def test_compatible_file_types_cover_all_supported_formats():
+    """
+    Check that the extractor advertises every supported Docling format.
+
+    Returns
+    -------
+    None
+        Ensures no file type regression slips through unnoticed.
+    """
+    extractor = DoclingFileExtractor.__new__(DoclingFileExtractor)
+    expected = {
+        docling_module.FileType.PDF,
+        docling_module.FileType.DOCX,
+        docling_module.FileType.PPTX,
+        docling_module.FileType.XLSX,
+        docling_module.FileType.HTML,
+        docling_module.FileType.MD,
+        docling_module.FileType.ASCIIDOC,
+        docling_module.FileType.CSV,
+        docling_module.FileType.IMAGE,
+    }
+
+    assert set(extractor.compatible_file_types) == expected
diff --git a/libs/extractor-api-lib/tests/general_file_extractor_test.py b/libs/extractor-api-lib/tests/general_file_extractor_test.py
new file mode 100644
index 00000000..ea0cd32c
--- /dev/null
+++ b/libs/extractor-api-lib/tests/general_file_extractor_test.py
@@ -0,0 +1,139 @@
+"""Tests for the GeneralFileExtractor fallback orchestration."""
+
+import pytest
+from unittest.mock import MagicMock
+
+from extractor_api_lib.extractors.information_file_extractor import InformationFileExtractor
+from extractor_api_lib.file_services.file_service import FileService
+from extractor_api_lib.impl.api_endpoints.general_file_extractor import GeneralFileExtractor
+from extractor_api_lib.impl.types.content_type import ContentType
+from extractor_api_lib.impl.types.file_type import FileType
+from extractor_api_lib.models.dataclasses.internal_information_piece import InternalInformationPiece
+from extractor_api_lib.models.extraction_request import ExtractionRequest
+
+
+class _FailingExtractor(InformationFileExtractor):
+    def __init__(self, file_service: FileService, message: str = "failure"):
+        super().__init__(file_service)
+        self._message = message
+
+    @property
+    def compatible_file_types(self) -> list[FileType]:
+        return [FileType.PDF]
+
+    async def aextract_content(self, file_path, name):  # pragma: no cover - deterministic failure
+        raise RuntimeError(self._message)
+
+
+class _SuccessfulExtractor(InformationFileExtractor):
+    def __init__(self, file_service: FileService, piece: InternalInformationPiece):
+        super().__init__(file_service)
+        self._piece = piece
+
+    @property
+    def compatible_file_types(self) -> list[FileType]:
+        return [FileType.PDF]
+
+    async def aextract_content(self, file_path, name):
+        return [self._piece]
+
+
+class _EmptyExtractor(InformationFileExtractor):
+    def __init__(self, file_service: FileService):
+        super().__init__(file_service)
+
+    @property
+    def compatible_file_types(self) -> list[FileType]:
+        return [FileType.PDF]
+
+    async def aextract_content(self, file_path, name):
+        return []
+
+
+@pytest.fixture
+def file_service():
+    """
+    Provide a mocked `FileService` that writes placeholder bytes.
+
+    Returns
+    -------
+    FileService
+        MagicMock adhering to the FileService specification.
+    """
+    service = MagicMock(spec=FileService)
+
+    def _download(_path: str, handle):
+        handle.write(b"dummy")
+
+    service.download_file.side_effect = _download
+    return service
+
+
+@pytest.fixture
+def mapper():
+    """
+    Provide a mapper translating internal pieces to their content strings.
+
+    Returns
+    -------
+    MagicMock
+        Mapper mock that echoes the piece content.
+    """
+    _mapper = MagicMock()
+    _mapper.map_internal_to_external.side_effect = lambda piece: piece.page_content
+    return _mapper
+
+
+@pytest.mark.asyncio
+async def test_general_file_extractor_fallbacks_to_next_extractor(file_service, mapper):
+    """
+    Ensure the extractor falls back until one yields content.
+
+    Parameters
+    ----------
+    file_service : FileService
+        Mock file service used to provide temporary files.
+    mapper : MagicMock
+        Mapper mock that converts internal pieces to strings.
+    """
+    successful_piece = InternalInformationPiece(
+        type=ContentType.TEXT,
+        metadata={"document": "doc", "page": 1},
+        page_content="content",
+    )
+    extractors = [
+        _FailingExtractor(file_service, message="docling failure"),
+        _EmptyExtractor(file_service),
+        _SuccessfulExtractor(file_service, successful_piece),
+    ]
+    general_extractor = GeneralFileExtractor(file_service=file_service, available_extractors=extractors, mapper=mapper)
+
+    request = ExtractionRequest(path_on_s3="s3://bucket/test.pdf", document_name="doc.pdf")
+    result = await general_extractor.aextract_information(request)
+
+    assert result == ["content"]
+    mapper.map_internal_to_external.assert_called_with(successful_piece)
+
+
+@pytest.mark.asyncio
+async def test_general_file_extractor_raises_when_all_extractors_fail(file_service, mapper):
+    """
+    Raise a RuntimeError when every extractor fails.
+
+    Parameters
+    ----------
+    file_service : FileService
+        Mock file service used to provide temporary files.
+    mapper : MagicMock
+        Mapper mock that converts internal pieces to strings.
+    """
+    extractors = [
+        _FailingExtractor(file_service, message="primary failure"),
+        _FailingExtractor(file_service, message="secondary failure"),
+    ]
+    general_extractor = GeneralFileExtractor(file_service=file_service, available_extractors=extractors, mapper=mapper)
+
+    request = ExtractionRequest(path_on_s3="s3://bucket/test.pdf", document_name="doc.pdf")
+
+    with pytest.raises(RuntimeError, match="All extractors failed"):
+        await general_extractor.aextract_information(request)
diff --git a/libs/extractor-api-lib/tests/image_extractor_test.py b/libs/extractor-api-lib/tests/image_extractor_test.py
new file mode 100644
index 00000000..a9e804c2
--- /dev/null
+++ b/libs/extractor-api-lib/tests/image_extractor_test.py
@@ -0,0 +1,137 @@
+"""Tests for the TesseractImageExtractor behaviour and error handling."""
+
+from pathlib import Path
+
+import pytest
+from PIL import Image
+
+from extractor_api_lib.file_services.file_service import FileService
+from extractor_api_lib.impl.extractors.file_extractors.image_extractor import TesseractImageExtractor
+from extractor_api_lib.impl.types.content_type import ContentType
+
+import extractor_api_lib.impl.extractors.file_extractors.image_extractor as image_module
+
+
+class _NoopFileService(FileService):
+    def download_folder(self, source: str, target: Path) -> None:  # pragma: no cover - not used in tests
+        raise NotImplementedError
+
+    def download_file(self, source: str, target_file) -> None:  # pragma: no cover - not used in tests
+        raise NotImplementedError
+
+    def upload_file(self, file_path: str, file_name: str) -> None:  # pragma: no cover - not used in tests
+        raise NotImplementedError
+
+    def get_all_sorted_file_names(self) -> list[str]:  # pragma: no cover - not used in tests
+        raise NotImplementedError
+
+    def delete_file(self, file_name: str) -> None:  # pragma: no cover - not used in tests
+        raise NotImplementedError
+
+
+@pytest.mark.asyncio
+async def test_image_extractor_returns_clean_piece(monkeypatch: pytest.MonkeyPatch, tmp_path: Path):
+    """
+    Validate that OCR output is normalized and metadata is populated.
+
+    Parameters
+    ----------
+    monkeypatch : pytest.MonkeyPatch
+        Fixture used to replace the pytesseract call.
+    tmp_path : Path
+        Temporary directory provided by pytest for sample image creation.
+    """
+    sample_path = tmp_path / "hello.png"
+    Image.new("RGB", (50, 50), color="white").save(sample_path)
+
+    extractor = TesseractImageExtractor(_NoopFileService(), languages=["deu", " eng "], psm=7)
+
+    captured: dict[str, str] = {}
+
+    def fake_ocr(frame, lang, config):  # pragma: no cover - simple stub
+        captured["lang"] = lang
+        captured["config"] = config
+        captured["size"] = frame.size
+        return " Hello Image "
+
+    monkeypatch.setattr(image_module.pytesseract, "image_to_string", fake_ocr)
+
+    pieces = await extractor.aextract_content(sample_path, sample_path.name)
+
+    assert len(pieces) == 1
+    piece = pieces[0]
+    assert piece.type == ContentType.TEXT
+    assert piece.metadata["origin_extractor"] == "tesseract-image"
+    assert piece.metadata["page"] == 1
+    assert piece.page_content == "Hello Image"
+    assert captured["lang"] == "deu+eng"
+    assert captured["config"] == "--psm 7"
+    assert captured["size"] == (50, 50)
+
+
+@pytest.mark.asyncio
+async def test_image_extractor_returns_empty_when_ocr_blank(
+    monkeypatch: pytest.MonkeyPatch,
+    tmp_path: Path,
+):
+    """
+    Ensure blank OCR results yield no pieces.
+
+    Parameters
+    ----------
+    monkeypatch : pytest.MonkeyPatch
+        Fixture used to force an empty OCR response.
+    tmp_path : Path
+        Temporary directory provided by pytest for sample image creation.
+    """
+    sample_path = tmp_path / "blank.png"
+    Image.new("RGB", (20, 20), color="white").save(sample_path)
+
+    extractor = TesseractImageExtractor(_NoopFileService())
+
+    monkeypatch.setattr(image_module.pytesseract, "image_to_string", lambda *_, **__: "   ")
+
+    pieces = await extractor.aextract_content(sample_path, sample_path.name)
+
+    assert pieces == []
+
+
+@pytest.mark.asyncio
+async def test_image_extractor_raises_for_invalid_image(tmp_path: Path):
+    """
+    Confirm that invalid files raise a user-facing ValueError.
+
+    Parameters
+    ----------
+    tmp_path : Path
+        Temporary directory provided by pytest for sample file creation.
+    """
+    invalid_path = tmp_path / "invalid.png"
+    invalid_path.write_bytes(b"not an image")
+
+    extractor = TesseractImageExtractor(_NoopFileService())
+
+    with pytest.raises(ValueError, match=r"Unsupported image file"):
+        await extractor.aextract_content(invalid_path, invalid_path.name)
+
+
+@pytest.mark.asyncio
+async def test_image_extractor_raises_for_multi_frame_image(tmp_path: Path):
+    """
+    Verify that animated images are rejected explicitly.
+
+    Parameters
+    ----------
+    tmp_path : Path
+        Temporary directory provided by pytest for sample file creation.
+    """
+    animated_path = tmp_path / "animated.tiff"
+
+    frame_one = Image.new("RGB", (10, 10), color="white")
+    frame_two = Image.new("RGB", (10, 10), color="black")
+    frame_one.save(animated_path, save_all=True, append_images=[frame_two], format="TIFF")
+
+    extractor = TesseractImageExtractor(_NoopFileService())
+
+    with pytest.raises(ValueError, match=r"Multi-frame images are not supported"):
+        await extractor.aextract_content(animated_path, animated_path.name)
diff --git a/libs/extractor-api-lib/tests/markitdown_extractor_test.py b/libs/extractor-api-lib/tests/markitdown_extractor_test.py
new file mode 100644
index 00000000..6ce91d5e
--- /dev/null
+++ b/libs/extractor-api-lib/tests/markitdown_extractor_test.py
@@ -0,0 +1,308 @@
+"""Tests for the MarkitdownFileExtractor conversion helpers."""
+
+from pathlib import Path
+
+import pytest
+
+from extractor_api_lib.file_services.file_service import FileService
+from extractor_api_lib.impl.extractors.file_extractors.markitdown_extractor import MarkitdownFileExtractor
+from extractor_api_lib.impl.types.content_type import ContentType
+
+
+class _NoopFileService(FileService):
+    def download_folder(self, source: str, target: Path) -> None:  # pragma: no cover - not used in tests
+        raise NotImplementedError
+
+    def download_file(self, source: str, target_file) -> None:  # pragma: no cover - not used in tests
+        raise NotImplementedError
+
+    def upload_file(self, file_path: str, file_name: str) -> None:  # pragma: no cover - not used in tests
+        raise NotImplementedError
+
+    def get_all_sorted_file_names(self) -> list[str]:  # pragma: no cover - not used in tests
+        raise NotImplementedError
+
+    def delete_file(self, file_name: str) -> None:  # pragma: no cover - not used in tests
+        raise NotImplementedError
+
+
+class _StubResult:
+    def __init__(self, **attrs):
+        for key, value in attrs.items():
+            setattr(self, key, value)
+
+
+class _StubConverter:
+    def __init__(self, result: object):
+        self._result = result
+        self.calls: list[str] = []
+
+    def convert_stream(self, _stream, filename: str):
+        self.calls.append(filename)
+        return self._result
+
+
+DATA_DIR = Path(__file__).parent / "test_data"
+
+
+@pytest.fixture
+def markitdown_extractor() -> MarkitdownFileExtractor:
+    """
+    Provide a MarkitdownFileExtractor with a no-op file service.
+
+    Returns
+    -------
+    MarkitdownFileExtractor
+        Instance under test for the Markitdown extractor suite.
+    """
+    return MarkitdownFileExtractor(_NoopFileService())
+
+
+@pytest.mark.parametrize(
+    ("result", "expected"),
+    [
+        (_StubResult(markdown="primary", text_content="secondary"), "primary"),
+        (_StubResult(text_content=" fallback "), " fallback "),
+        (_StubResult(text="legacy"), "legacy"),
+        ("raw", "raw"),
+        (None, ""),
+    ],
+)
+def test_extract_markdown_prefers_available_fields(result, expected):
+    """
+    Validate that markdown extraction prefers richer attributes first.
+
+    Parameters
+    ----------
+    result : object
+        Stub result with various attribute combinations.
+    expected : str
+        Anticipated markdown returned by the helper.
+    """
+    assert MarkitdownFileExtractor._extract_markdown(result) == expected
+
+
+def test_extract_markdown_tables_detects_all_tables(markitdown_extractor: MarkitdownFileExtractor):
+    """
+    Ensure table parsing yields one entry per markdown table.
+
+    Parameters
+    ----------
+    markitdown_extractor : MarkitdownFileExtractor
+        Fixture-managed extractor instance under test.
+    """
+    markdown = """
+Intro paragraph
+
+| A | B |
+| --- | --- |
+| 1 | 2 |
+
+Intermezzo
+
+| C | D |
+| --- | --- |
+| 3 | 4 |
+""".strip()
+
+    tables = markitdown_extractor._extract_markdown_tables(markdown)
+
+    assert len(tables) == 2
+    assert tables[0].startswith("| A | B |")
+    assert "| 3 | 4 |" in tables[1]
+
+
+def test_build_pieces_for_markdown_emits_table_metadata(markitdown_extractor: MarkitdownFileExtractor):
+    """
+    Confirm generated pieces include table metadata alongside text.
+
+    Parameters
+    ----------
+    markitdown_extractor : MarkitdownFileExtractor
+        Fixture-managed extractor instance under test.
+    """
+    markdown = """# Heading
+
+| Name | Value |
+| ---- | ----- |
+| Foo | Bar |
+"""
+
+    pieces = list(markitdown_extractor._build_pieces_for_markdown("doc", page=7, markdown=markdown))
+
+    assert len(pieces) == 2
+    text_piece = pieces[0]
+    assert text_piece.type == ContentType.TEXT
+    assert text_piece.metadata["origin_extractor"] == "markitdown"
+    assert text_piece.metadata["page"] == 7
+
+    table_piece = pieces[1]
+    assert table_piece.type == ContentType.TABLE
+    assert table_piece.metadata["table_index"] == 1
+    assert "| Name | Value |" in table_piece.page_content
+
+
+def test_split_pptx_markdown_uses_markers(markitdown_extractor: MarkitdownFileExtractor):
+    """
+    Verify slide markers are used to split PPTX output by slide number.
+
+    Parameters
+    ----------
+    markitdown_extractor : MarkitdownFileExtractor
+        Fixture-managed extractor instance under test.
+    """
+    markdown = """
+Intro
+<!-- Slide number: 1 -->
+Slide one body
+<!-- Slide number: 3 -->
+Slide three body
+""".strip()
+
+    slides = markitdown_extractor._split_pptx_markdown(markdown)
+
+    assert slides == [
+        (1, "<!-- Slide number: 1 -->\nSlide one body"),
+        (3, "<!-- Slide number: 3 -->\nSlide three body"),
+    ]
+
+
+def test_split_pptx_markdown_without_markers_defaults_to_single_chunk(markitdown_extractor: MarkitdownFileExtractor):
+    """
+    Ensure PPTX markdown without markers returns a single chunk page.
+
+    Parameters
+    ----------
+    markitdown_extractor : MarkitdownFileExtractor
+        Fixture-managed extractor instance under test.
+    """
+    slides = markitdown_extractor._split_pptx_markdown("Single chunk content")
+
+    assert slides == [(1, "Single chunk content")]
+
+
+@pytest.mark.asyncio
+async def test_aextract_content_routes_pdf_through_page_extractor(
+    tmp_path: Path, markitdown_extractor: MarkitdownFileExtractor
+):
+    """
+    Route PDF files to the per-page extractor helper.
+
+    Parameters
+    ----------
+    tmp_path : Path
+        Temporary directory provided by pytest.
+    markitdown_extractor : MarkitdownFileExtractor
+        Fixture-managed extractor instance under test.
+    """
+    pdf_path = tmp_path / "report.pdf"
+    pdf_path.write_bytes(b"%PDF-FAKE")
+
+    expected = [object()]
+
+    def fake_extract(file_path: Path, document_name: str):
+        assert file_path == pdf_path
+        assert document_name == pdf_path.name
+        return expected
+
+    markitdown_extractor._extract_pdf_pages = fake_extract  # type: ignore[method-assign]
+
+    pieces = await markitdown_extractor.aextract_content(pdf_path, pdf_path.name)
+
+    assert pieces is expected
+
+
+@pytest.mark.asyncio
+async def test_aextract_content_pptx_splits_per_slide(tmp_path: Path, markitdown_extractor: MarkitdownFileExtractor):
+    """
+    Confirm PPTX processing results in one page-per-slide output.
+
+    Parameters
+    ----------
+    tmp_path : Path
+        Temporary directory provided by pytest.
+    markitdown_extractor : MarkitdownFileExtractor
+        Fixture-managed extractor instance under test.
+    """
+    pptx_path = tmp_path / "deck.pptx"
+    pptx_path.write_bytes(b"fake pptx")
+
+    markdown = """<!-- Slide number: 1 -->\nSlide 1 body\n<!-- Slide number: 2 -->\nSlide 2 body"""
+    stub = _StubConverter(_StubResult(markdown=markdown))
+    markitdown_extractor._converter = stub
+
+    pieces = await markitdown_extractor.aextract_content(pptx_path, pptx_path.name)
+
+    assert stub.calls == [pptx_path.name]
+    slide_pages = [piece.metadata["page"] for piece in pieces if piece.type == ContentType.TEXT]
+    assert slide_pages == [1, 2]
+
+
+@pytest.mark.asyncio
+async def test_aextract_content_returns_single_page_for_text(
+    tmp_path: Path, markitdown_extractor: MarkitdownFileExtractor
+):
+    """
+    Verify plain text inputs return a single text piece tagged with page 1.
+
+    Parameters
+    ----------
+    tmp_path : Path
+        Temporary directory provided by pytest.
+    markitdown_extractor : MarkitdownFileExtractor
+        Fixture-managed extractor instance under test.
+    """
+    txt_path = tmp_path / "notes.txt"
+    txt_path.write_text("Hello world")
+
+    markdown = "# Title\n\nBody"
+    markitdown_extractor._converter = _StubConverter(_StubResult(markdown=markdown))
+
+    pieces = await markitdown_extractor.aextract_content(txt_path, txt_path.name)
+
+    assert len(pieces) == 1
+    text_piece = pieces[0]
+    assert text_piece.type == ContentType.TEXT
+    assert text_piece.metadata["page"] == 1
+    assert "Title" in text_piece.page_content
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize(
+    "relative_path",
+    [
+        "mixed_content_document.pdf",
+        "multi_column_document.pdf",
+        "scanned_document.pdf",
+        "text_based_document.pdf",
+        "sample.html",
+        "plain.txt",
+        "sample.csv",
+        "sample.txt",
+        "LoremIpsum.epub",
+    ],
+)
+async def test_markitdown_handles_various_inputs(relative_path: str):
+    """
+    Run smoke tests over the collection of bundled fixture documents.
+
+    Parameters
+    ----------
+    relative_path : str
+        Fixture file path relative to the test data directory.
+    """
+    sample_file = DATA_DIR / relative_path
+    extractor = MarkitdownFileExtractor(_NoopFileService())
+
+    pieces = await extractor.aextract_content(sample_file, sample_file.name)
+    assert isinstance(pieces, list)
+
+    if relative_path == "scanned_document.pdf":
+        assert pieces == []
+    else:
+        assert pieces
+
+    for piece in pieces:
+        assert piece.page_content is not None
+        if piece.type == ContentType.TABLE:
+            assert piece.metadata.get("origin_extractor") in ("markitdown", None)
diff --git a/libs/extractor-api-lib/tests/pdf_extractor_test.py b/libs/extractor-api-lib/tests/pdf_extractor_test.py
index 7f0d559f..15bc2b6c 100644
--- a/libs/extractor-api-lib/tests/pdf_extractor_test.py
+++ b/libs/extractor-api-lib/tests/pdf_extractor_test.py
@@ -13,7 +13,6 @@
 from pdf2image import convert_from_path
 
 from extractor_api_lib.impl.extractors.file_extractors.pdf_extractor import PDFExtractor
-from extractor_api_lib.impl.settings.pdf_extractor_settings import PDFExtractorSettings
 from extractor_api_lib.impl.types.content_type import ContentType
 from extractor_api_lib.impl.types.file_type import FileType
 from extractor_api_lib.models.dataclasses.internal_information_piece import InternalInformationPiece
@@ -25,11 +24,6 @@
 class TestPDFExtractor:
     """Test class for PDFExtractor."""
 
-    @pytest.fixture
-    def mock_pdf_extractor_settings(self):
-        """Create mock PDF extractor settings."""
-        return MagicMock(spec=PDFExtractorSettings)
-
     @pytest.fixture
     def mock_dataframe_converter(self):
         """Create a mock dataframe converter."""
@@ -38,11 +32,10 @@ def mock_dataframe_converter(self):
         return converter
 
     @pytest.fixture
-    def pdf_extractor(self, mock_file_service, mock_pdf_extractor_settings, mock_dataframe_converter):
+    def pdf_extractor(self, mock_file_service, mock_dataframe_converter):
         """Create a PDFExtractor instance for testing."""
         return PDFExtractor(
             file_service=mock_file_service,
-            pdf_extractor_settings=mock_pdf_extractor_settings,
             dataframe_converter=mock_dataframe_converter,
         )
 
diff --git a/libs/extractor-api-lib/tests/test_data/image.png b/libs/extractor-api-lib/tests/test_data/image.png
new file mode 100644
index 00000000..bf1aeaac
Binary files /dev/null and b/libs/extractor-api-lib/tests/test_data/image.png differ
diff --git a/libs/extractor-api-lib/tests/test_data/plain.txt b/libs/extractor-api-lib/tests/test_data/plain.txt
new file mode 100644
index 00000000..0f77236d
--- /dev/null
+++ b/libs/extractor-api-lib/tests/test_data/plain.txt
@@ -0,0 +1,3 @@
+Markitdown plain text
+with multiple lines
+but no table structure.
diff --git a/libs/extractor-api-lib/tests/test_data/sample.adoc b/libs/extractor-api-lib/tests/test_data/sample.adoc
new file mode 100644
index 00000000..c2c9562b
--- /dev/null
+++ b/libs/extractor-api-lib/tests/test_data/sample.adoc
@@ -0,0 +1,11 @@
+= AsciiDoc Sample
+
+This is an AsciiDoc paragraph.
+
+== Table
+
+|====
+|Col A | Col B
+|A1 | B1
+|A2 | B2
+|====
diff --git a/libs/extractor-api-lib/tests/test_data/sample.csv b/libs/extractor-api-lib/tests/test_data/sample.csv
new file mode 100644
index 00000000..0bfd0619
--- /dev/null
+++ b/libs/extractor-api-lib/tests/test_data/sample.csv
@@ -0,0 +1,3 @@
+col1,col2
+alpha,1
+beta,2
diff --git a/libs/extractor-api-lib/tests/test_data/sample.docx b/libs/extractor-api-lib/tests/test_data/sample.docx
new file mode 100644
index 00000000..3d85b3af
Binary files /dev/null and b/libs/extractor-api-lib/tests/test_data/sample.docx differ
diff --git a/libs/extractor-api-lib/tests/test_data/sample.html b/libs/extractor-api-lib/tests/test_data/sample.html
new file mode 100644
index 00000000..4e236c80
--- /dev/null
+++ b/libs/extractor-api-lib/tests/test_data/sample.html
@@ -0,0 +1,30 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+  <meta charset="UTF-8" />
+  <title>Docling Integration Sample</title>
+</head>
+<body>
+  <h1>Docling Sample Document</h1>
+  <p>This paragraph should be extracted as part of the text content.</p>
+  <table>
+    <thead>
+      <tr>
+        <th>Item</th>
+        <th>Value</th>
+      </tr>
+    </thead>
+    <tbody>
+      <tr>
+        <td>Alpha</td>
+        <td>1</td>
+      </tr>
+      <tr>
+        <td>Beta</td>
+        <td>2</td>
+      </tr>
+    </tbody>
+  </table>
+  <p>Trailing text ensures we capture multi-block content.</p>
+</body>
+</html>
diff --git a/libs/extractor-api-lib/tests/test_data/sample.md b/libs/extractor-api-lib/tests/test_data/sample.md
new file mode 100644
index 00000000..63d7a2e1
--- /dev/null
+++ b/libs/extractor-api-lib/tests/test_data/sample.md
@@ -0,0 +1,8 @@
+# Markitdown Sample Document
+
+This content verifies that headings and paragraphs are captured.
+
+| Column A | Column B |
+| --- | --- |
+| Row 1 | Value 1 |
+| Row 2 | Value 2 |
diff --git a/libs/extractor-api-lib/tests/test_data/sample.png b/libs/extractor-api-lib/tests/test_data/sample.png
new file mode 100644
index 00000000..fa6149c6
Binary files /dev/null and b/libs/extractor-api-lib/tests/test_data/sample.png differ
diff --git a/libs/extractor-api-lib/tests/test_data/sample.pptx b/libs/extractor-api-lib/tests/test_data/sample.pptx
new file mode 100644
index 00000000..afb16c99
Binary files /dev/null and b/libs/extractor-api-lib/tests/test_data/sample.pptx differ
diff --git a/libs/extractor-api-lib/tests/test_data/sample.txt b/libs/extractor-api-lib/tests/test_data/sample.txt
new file mode 100644
index 00000000..14741bb8
--- /dev/null
+++ b/libs/extractor-api-lib/tests/test_data/sample.txt
@@ -0,0 +1,3 @@
+Plain sample text
+second line
+third line
diff --git a/libs/extractor-api-lib/tests/test_data/sample.xlsx b/libs/extractor-api-lib/tests/test_data/sample.xlsx
new file mode 100644
index 00000000..6fc10652
Binary files /dev/null and b/libs/extractor-api-lib/tests/test_data/sample.xlsx differ
diff --git a/libs/extractor-api-lib/tests/test_data/sample.xml b/libs/extractor-api-lib/tests/test_data/sample.xml
new file mode 100644
index 00000000..722d769e
--- /dev/null
+++ b/libs/extractor-api-lib/tests/test_data/sample.xml
@@ -0,0 +1,5 @@
+<?xml version="1.0" encoding="utf-8"?>
+<document>
+  <title>XML Sample</title>
+  <para>Some XML paragraph content</para>
+</document>
diff --git a/services/document-extractor/Dockerfile b/services/document-extractor/Dockerfile
index fcfe14ef..5b51f84b 100644
--- a/services/document-extractor/Dockerfile
+++ b/services/document-extractor/Dockerfile
@@ -14,7 +14,9 @@ RUN DEBIAN_FRONTEND=noninteractive apt-get update \
     poppler-utils \
     tesseract-ocr \
     tesseract-ocr-deu \
-    tesseract-ocr-eng && \
+    tesseract-ocr-eng \
+    libleptonica-dev \
+    pkg-config && \
     python3 -m venv "${POETRY_VIRTUALENVS_PATH}" \
       && $POETRY_VIRTUALENVS_PATH/bin/pip install "poetry==${POETRY_VERSION}"
 ENV PATH="${POETRY_VIRTUALENVS_PATH}/bin:$PATH"
@@ -46,7 +48,10 @@ COPY --from=build /usr/local/bin/ /usr/local/bin/
 COPY --from=build /usr/bin/ /usr/bin/
 COPY --from=build /usr/local/lib/ /usr/local/lib/
 COPY --from=build /usr/lib/x86_64-linux-gnu/ /usr/lib/x86_64-linux-gnu/
-COPY --from=build /usr/share/tesseract-ocr/5/tessdata /usr/share/tesseract-ocr/5/tessdata
+ENV TESSDATA_PREFIX=/usr/share/tesseract-ocr/5/tessdata
+COPY --from=build /usr/share/tesseract-ocr/5/tessdata ${TESSDATA_PREFIX}
+
+
 
 COPY --chown=nonroot:nonroot libs/extractor-api-lib /app/libs/extractor-api-lib
 
diff --git a/services/document-extractor/poetry.lock b/services/document-extractor/poetry.lock
index 1e51896c..f9e89db3 100644
--- a/services/document-extractor/poetry.lock
+++ b/services/document-extractor/poetry.lock
@@ -1,15 +1,48 @@
-# This file is automatically @generated by Poetry 2.1.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.2.1 and should not be changed by hand.
+
+[[package]]
+name = "accelerate"
+version = "1.11.0"
+description = "Accelerate"
+optional = false
+python-versions = ">=3.10.0"
+groups = ["main"]
+files = [
+    {file = "accelerate-1.11.0-py3-none-any.whl", hash = "sha256:a628fa6beb069b8e549460fc449135d5bd8d73e7a11fd09f0bc9fc4ace7f06f1"},
+    {file = "accelerate-1.11.0.tar.gz", hash = "sha256:bb1caf2597b4cd632b917b5000c591d10730bb024a79746f1ee205bba80bd229"},
+]
+
+[package.dependencies]
+huggingface_hub = ">=0.21.0"
+numpy = ">=1.17"
+packaging = ">=20.0"
+psutil = "*"
+pyyaml = "*"
+safetensors = ">=0.4.3"
+torch = ">=2.0.0"
+
+[package.extras]
+deepspeed = ["deepspeed"]
+dev = ["bitsandbytes", "datasets", "diffusers", "evaluate", "parameterized", "pytest (>=7.2.0)", "pytest-order", "pytest-subtests", "pytest-xdist", "rich", "ruff (==0.13.1)", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+quality = ["ruff (==0.13.1)"]
+rich = ["rich"]
+sagemaker = ["sagemaker"]
+test-dev = ["bitsandbytes", "datasets", "diffusers", "evaluate", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+test-fp8 = ["torchao"]
+test-prod = ["parameterized", "pytest (>=7.2.0)", "pytest-order", "pytest-subtests", "pytest-xdist"]
+test-trackers = ["comet-ml", "dvclive", "matplotlib", "swanlab[dashboard]", "tensorboard", "trackio", "wandb"]
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 ]
 
 [package.dependencies]
@@ -130,7 +197,7 @@ propcache = ">=0.2.0"
 yarl = ">=1.17.0,<2.0"
 
 [package.extras]
-speedups = ["Brotli ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "brotlicffi ; platform_python_implementation != \"CPython\""]
+speedups = ["Brotli ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi ; platform_python_implementation != \"CPython\""]
 
 [[package]]
 name = "aiosignal"
@@ -159,16 +226,27 @@ files = [
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 ]
 
+[[package]]
+name = "antlr4-python3-runtime"
+version = "4.9.3"
+description = "ANTLR 4.9.3 runtime for Python 3.7"
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
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+]
+
 [[package]]
 name = "anyio"
-version = "4.10.0"
+version = "4.11.0"
 description = "High-level concurrency and networking framework on top of asyncio or Trio"
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "tests"]
 files = [
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 ]
 
 [package.dependencies]
@@ -176,7 +254,7 @@ idna = ">=2.8"
 sniffio = ">=1.1"
 
 [package.extras]
-trio = ["trio (>=0.26.1)"]
+trio = ["trio (>=0.31.0)"]
 
 [[package]]
 name = "astor"
@@ -228,23 +306,130 @@ kerberos = ["requests-kerberos"]
 
 [[package]]
 name = "attrs"
-version = "25.3.0"
+version = "25.4.0"
 description = "Classes Without Boilerplate"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["main", "dev"]
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+]
+
+[[package]]
+name = "audioop-lts"
+version = "0.2.2"
+description = "LTS Port of Python audioop"
+optional = false
+python-versions = ">=3.13"
+groups = ["main"]
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+]
+
+[[package]]
+name = "azure-ai-documentintelligence"
+version = "1.0.2"
+description = "Microsoft Azure AI Document Intelligence Client Library for Python"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
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+]
+
+[package.dependencies]
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+isodate = ">=0.6.1"
+typing-extensions = ">=4.6.0"
+
+[[package]]
+name = "azure-core"
+version = "1.36.0"
+description = "Microsoft Azure Core Library for Python"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
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+[package.dependencies]
+requests = ">=2.21.0"
+typing-extensions = ">=4.6.0"
+
 [package.extras]
-benchmark = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
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-docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier"]
-tests = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
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+aio = ["aiohttp (>=3.0)"]
+tracing = ["opentelemetry-api (>=1.26,<2.0)"]
+
+[[package]]
+name = "azure-identity"
+version = "1.25.1"
+description = "Microsoft Azure Identity Library for Python"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
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+]
+
+[package.dependencies]
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+cryptography = ">=2.5"
+msal = ">=1.30.0"
+msal-extensions = ">=1.2.0"
+typing-extensions = ">=4.0.0"
 
 [[package]]
 name = "backoff"
@@ -285,14 +470,14 @@ yaml = ["PyYAML"]
 
 [[package]]
 name = "beautifulsoup4"
-version = "4.13.5"
+version = "4.14.2"
 description = "Screen-scraping library"
 optional = false
 python-versions = ">=3.7.0"
 groups = ["main"]
 files = [
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 ]
 
 [package.dependencies]
@@ -308,34 +493,38 @@ lxml = ["lxml"]
 
 [[package]]
 name = "black"
-version = "25.9.0"
+version = "25.11.0"
 description = "The uncompromising code formatter."
 optional = false
 python-versions = ">=3.9"
 groups = ["dev"]
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+    {file = "black-25.11.0.tar.gz", hash = "sha256:9a323ac32f5dc75ce7470501b887250be5005a01602e931a15e45593f70f6e08"},
 ]
 
 [package.dependencies]
@@ -344,7 +533,7 @@ mypy-extensions = ">=0.4.3"
 packaging = ">=22.0"
 pathspec = ">=0.9.0"
 platformdirs = ">=2"
-pytokens = ">=0.1.10"
+pytokens = ">=0.3.0"
 
 [package.extras]
 colorama = ["colorama (>=0.4.3)"]
@@ -354,18 +543,18 @@ uvloop = ["uvloop (>=0.15.2)"]
 
 [[package]]
 name = "boto3"
-version = "1.40.35"
+version = "1.40.74"
 description = "The AWS SDK for Python"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
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+    {file = "boto3-1.40.74-py3-none-any.whl", hash = "sha256:41fc8844b37ae27b24bcabf8369769df246cc12c09453988d0696ad06d6aa9ef"},
+    {file = "boto3-1.40.74.tar.gz", hash = "sha256:484e46bf394b03a7c31b34f90945ebe1390cb1e2ac61980d128a9079beac87d4"},
 ]
 
 [package.dependencies]
-botocore = ">=1.40.35,<1.41.0"
+botocore = ">=1.40.74,<1.41.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.14.0,<0.15.0"
 
@@ -374,14 +563,14 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.40.35"
+version = "1.40.74"
 description = "Low-level, data-driven core of boto 3."
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
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 [package.dependencies]
@@ -390,7 +579,7 @@ python-dateutil = ">=2.1,<3.0.0"
 urllib3 = {version = ">=1.25.4,<2.2.0 || >2.2.0,<3", markers = "python_version >= \"3.10\""}
 
 [package.extras]
-crt = ["awscrt (==0.27.6)"]
+crt = ["awscrt (==0.28.4)"]
 
 [[package]]
 name = "camelot-py"
@@ -424,14 +613,14 @@ plot = ["matplotlib (>=3.7.5) ; python_version < \"3.12\"", "matplotlib (>=3.8.0
 
 [[package]]
 name = "certifi"
-version = "2025.8.3"
+version = "2025.11.12"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.7"
 groups = ["main", "tests"]
 files = [
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 ]
 
 [[package]]
@@ -546,108 +735,154 @@ files = [
 
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-version = "3.4.3"
+version = "3.4.4"
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 optional = false
 python-versions = ">=3.7"
 groups = ["main"]
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 [package.dependencies]
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
+[[package]]
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+description = "Create data objects"
+optional = false
+python-versions = ">=3.5"
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+
+[[package]]
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+
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+
+[[package]]
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+
+[package.extras]
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 [package.extras]
@@ -780,66 +1039,66 @@ toml = ["tomli ; python_full_version <= \"3.11.0a6\""]
 
 [[package]]
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 optional = false
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 [package.dependencies]
@@ -852,7 +1111,7 @@ nox = ["nox[uv] (>=2024.4.15)"]
 pep8test = ["check-sdist", "click (>=8.0.1)", "mypy (>=1.14)", "ruff (>=0.11.11)"]
 sdist = ["build (>=1.0.0)"]
 ssh = ["bcrypt (>=3.1.5)"]
-test = ["certifi (>=2024)", "cryptography-vectors (==46.0.1)", "pretend (>=0.7)", "pytest (>=7.4.0)", "pytest-benchmark (>=4.0)", "pytest-cov (>=2.10.1)", "pytest-xdist (>=3.5.0)"]
+test = ["certifi (>=2024)", "cryptography-vectors (==46.0.3)", "pretend (>=0.7)", "pytest (>=7.4.0)", "pytest-benchmark (>=4.0)", "pytest-cov (>=2.10.1)", "pytest-xdist (>=3.5.0)"]
 test-randomorder = ["pytest-randomly"]
 
 [[package]]
@@ -954,6 +1213,18 @@ files = [
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 ]
 
+[[package]]
+name = "defusedxml"
+version = "0.7.1"
+description = "XML bomb protection for Python stdlib modules"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+groups = ["main"]
+files = [
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+]
+
 [[package]]
 name = "dependency-injector"
 version = "4.48.2"
@@ -1003,18 +1274,18 @@ yaml = ["pyyaml"]
 
 [[package]]
 name = "deprecated"
-version = "1.2.18"
+version = "1.3.1"
 description = "Python @deprecated decorator to deprecate old python classes, functions or methods."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7"
 groups = ["main"]
 files = [
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 ]
 
 [package.dependencies]
-wrapt = ">=1.10,<2"
+wrapt = ">=1.10,<3"
 
 [package.extras]
 dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "setuptools ; python_version >= \"3.12\"", "tox"]
@@ -1035,6 +1306,176 @@ files = [
 graph = ["objgraph (>=1.7.2)"]
 profile = ["gprof2dot (>=2022.7.29)"]
 
+[[package]]
+name = "docling"
+version = "2.61.2"
+description = "SDK and CLI for parsing PDF, DOCX, HTML, and more, to a unified document representation for powering downstream workflows such as gen AI applications."
+optional = false
+python-versions = "<4.0,>=3.9"
+groups = ["main"]
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+    {file = "docling_parse-4.7.1.tar.gz", hash = "sha256:90494ecbffb46b574c44ef5ef55f5b4897a9a46a009ddf40fef8b2536894574e"},
+]
+
+[package.dependencies]
+docling-core = ">=2.44.1"
+pillow = ">=10.0.0,<13.0.0"
+pydantic = ">=2.0.0"
+pywin32 = {version = ">=305", markers = "sys_platform == \"win32\""}
+tabulate = ">=0.9.0,<1.0.0"
+
+[package.extras]
+perf-tools = ["pdfplumber (>=0.11.7)", "pymupdf (>=1.26.4)", "pypdfium2 (>=4.30.0)"]
+
 [[package]]
 name = "docx2txt"
 version = "0.9"
@@ -1091,7 +1532,7 @@ name = "extractor-api-lib"
 version = "v3.3.0"
 description = "Extracts the content of documents, websites, etc and maps it to a common format."
 optional = false
-python-versions = "^3.13"
+python-versions = ">=3.13,<3.14"
 groups = ["main"]
 files = []
 develop = true
@@ -1104,6 +1545,7 @@ camelot-py = {version = "^1.0.0", extras = ["cv"]}
 datasets = "^3.5.1"
 debugpy = "^1.8.14"
 dependency-injector = "^4.46.0"
+docling = "2.61.2"
 docx2txt = "^0.9"
 fake-useragent = "^2.2.0"
 fastapi = "^0.118.0"
@@ -1113,15 +1555,17 @@ langchain-community = "^0.3.23"
 langchain-core = "0.3.77"
 lxml = "^5.4.0"
 markdownify = "^1.1.0"
+markitdown = {version = "^0.1.3", extras = ["all"]}
 numpy = "^2.2.5"
 oauthlib = "^3.2.2"
-opencv-python = "4.12.0.88"
+opencv-python-headless = "4.12.0.88"
 pandas = "^2.2.2"
 partial = "^1.0"
 pdf2image = "1.17.0"
 pdfplumber = "0.11.7"
 pydantic-settings = "^2.9.1"
-pypandoc-binary = "^1.15"
+pypandoc = ">=1.6.2"
+pypandoc-binary = ">=1.15,<2.0"
 pypdfium2 = "4.30.0"
 pytesseract = "^0.3.10"
 python-multipart = "^0.0.20"
@@ -1129,6 +1573,10 @@ pyyaml = "^6.0.2"
 requests-oauthlib = "^2.0.0"
 starlette = ">=0.47.2,<0.49.0"
 tabulate = "^0.9.0"
+tesserocr = "^2.9.1"
+torch = "2.9.0+cpu"
+torchvision = "0.24.0+cpu"
+transformers = ">=4.53.3,<5.0.0"
 unstructured = {version = "0.18.15", extras = ["docx", "pptx"]}
 uvicorn = "^0.37.0"
 wheel = "^0.45.1"
@@ -1149,6 +1597,21 @@ files = [
     {file = "fake_useragent-2.2.0.tar.gz", hash = "sha256:4e6ab6571e40cc086d788523cf9e018f618d07f9050f822ff409a4dfe17c16b2"},
 ]
 
+[[package]]
+name = "faker"
+version = "38.0.0"
+description = "Faker is a Python package that generates fake data for you."
+optional = false
+python-versions = ">=3.10"
+groups = ["main"]
+files = [
+    {file = "faker-38.0.0-py3-none-any.whl", hash = "sha256:ad4ea6fbfaac2a75d92943e6a79c81f38ecff92378f6541dea9a677ec789a5b2"},
+    {file = "faker-38.0.0.tar.gz", hash = "sha256:797aa03fa86982dfb6206918acc10ebf3655bdaa89ddfd3e668d7cc69537331a"},
+]
+
+[package.dependencies]
+tzdata = "*"
+
 [[package]]
 name = "fastapi"
 version = "0.118.3"
@@ -1190,14 +1653,14 @@ setuptools = ">=0.7.0"
 
 [[package]]
 name = "filelock"
-version = "3.19.1"
+version = "3.20.0"
 description = "A platform independent file lock."
 optional = false
-python-versions = ">=3.9"
+python-versions = ">=3.10"
 groups = ["main"]
 files = [
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+    {file = "filelock-3.20.0-py3-none-any.whl", hash = "sha256:339b4732ffda5cd79b13f4e2711a31b0365ce445d95d243bb996273d072546a2"},
+    {file = "filelock-3.20.0.tar.gz", hash = "sha256:711e943b4ec6be42e1d4e6690b48dc175c822967466bb31c0c293f34334c13f4"},
 ]
 
 [[package]]
@@ -1472,14 +1935,14 @@ dev = ["pyTest", "pyTest-cov"]
 
 [[package]]
 name = "flake8-pytest-style"
-version = "2.1.0"
+version = "2.2.0"
 description = "A flake8 plugin checking common style issues or inconsistencies with pytest-based tests."
 optional = false
-python-versions = ">=3.9"
+python-versions = ">=3.10"
 groups = ["dev"]
 files = [
-    {file = "flake8_pytest_style-2.1.0-py3-none-any.whl", hash = "sha256:a0d6dddcd533bfc13f19b8445907be0330c5e6ccf7090bcd9d5fa5a0b1b65e71"},
-    {file = "flake8_pytest_style-2.1.0.tar.gz", hash = "sha256:fee6befdb5915d600ef24e38d48a077d0dcffb032945ae0169486e7ff8a1079a"},
+    {file = "flake8_pytest_style-2.2.0-py3-none-any.whl", hash = "sha256:d01c4198a6c4e0ab759a92a0fa7710f10d83ec28e32a50ab6fb2e10f973a2f36"},
+    {file = "flake8_pytest_style-2.2.0.tar.gz", hash = "sha256:d23a33294bccfb9f1b11aaf5212256727b299b9c9b17cf21e230c52c1095a468"},
 ]
 
 [package.dependencies]
@@ -1561,118 +2024,156 @@ files = [
 [package.dependencies]
 flake8 = ">=3.7"
 
+[[package]]
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+version = "25.9.23"
+description = "The FlatBuffers serialization format for Python"
+optional = false
+python-versions = "*"
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+
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+    {file = "hf_xet-1.2.0-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3651fd5bfe0281951b988c0facbe726aa5e347b103a675f49a3fa8144c7968fd"},
+    {file = "hf_xet-1.2.0-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:d06fa97c8562fb3ee7a378dd9b51e343bc5bc8190254202c9771029152f5e08c"},
+    {file = "hf_xet-1.2.0-cp37-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:4c1428c9ae73ec0939410ec73023c4f842927f39db09b063b9482dac5a3bb737"},
+    {file = "hf_xet-1.2.0-cp37-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:a55558084c16b09b5ed32ab9ed38421e2d87cf3f1f89815764d1177081b99865"},
+    {file = "hf_xet-1.2.0-cp37-abi3-win_amd64.whl", hash = "sha256:e6584a52253f72c9f52f9e549d5895ca7a471608495c4ecaa6cc73dba2b24d69"},
+    {file = "hf_xet-1.2.0.tar.gz", hash = "sha256:a8c27070ca547293b6890c4bf389f713f80e8c478631432962bb7f4bc0bd7d7f"},
 ]
 
 [package.extras]
@@ -1892,26 +2407,26 @@ zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "httpx-sse"
-version = "0.4.1"
+version = "0.4.3"
 description = "Consume Server-Sent Event (SSE) messages with HTTPX."
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "httpx_sse-0.4.1-py3-none-any.whl", hash = "sha256:cba42174344c3a5b06f255ce65b350880f962d99ead85e776f23c6618a377a37"},
-    {file = "httpx_sse-0.4.1.tar.gz", hash = "sha256:8f44d34414bc7b21bf3602713005c5df4917884f76072479b21f68befa4ea26e"},
+    {file = "httpx_sse-0.4.3-py3-none-any.whl", hash = "sha256:0ac1c9fe3c0afad2e0ebb25a934a59f4c7823b60792691f779fad2c5568830fc"},
+    {file = "httpx_sse-0.4.3.tar.gz", hash = "sha256:9b1ed0127459a66014aec3c56bebd93da3c1bc8bb6618c8082039a44889a755d"},
 ]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.35.0"
+version = "0.36.0"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
 groups = ["main"]
 files = [
-    {file = "huggingface_hub-0.35.0-py3-none-any.whl", hash = "sha256:f2e2f693bca9a26530b1c0b9bcd4c1495644dad698e6a0060f90e22e772c31e9"},
-    {file = "huggingface_hub-0.35.0.tar.gz", hash = "sha256:ccadd2a78eef75effff184ad89401413629fabc52cefd76f6bbacb9b1c0676ac"},
+    {file = "huggingface_hub-0.36.0-py3-none-any.whl", hash = "sha256:7bcc9ad17d5b3f07b57c78e79d527102d08313caa278a641993acddcb894548d"},
+    {file = "huggingface_hub-0.36.0.tar.gz", hash = "sha256:47b3f0e2539c39bf5cde015d63b72ec49baff67b6931c3d97f3f84532e2b8d25"},
 ]
 
 [package.dependencies]
@@ -1941,16 +2456,31 @@ testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.
 torch = ["safetensors[torch]", "torch"]
 typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
+[[package]]
+name = "humanfriendly"
+version = "10.0"
+description = "Human friendly output for text interfaces using Python"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+groups = ["main"]
+files = [
+    {file = "humanfriendly-10.0-py2.py3-none-any.whl", hash = "sha256:1697e1a8a8f550fd43c2865cd84542fc175a61dcb779b6fee18cf6b6ccba1477"},
+    {file = "humanfriendly-10.0.tar.gz", hash = "sha256:6b0b831ce8f15f7300721aa49829fc4e83921a9a301cc7f606be6686a2288ddc"},
+]
+
+[package.dependencies]
+pyreadline3 = {version = "*", markers = "sys_platform == \"win32\" and python_version >= \"3.8\""}
+
 [[package]]
 name = "idna"
-version = "3.10"
+version = "3.11"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
 groups = ["main", "tests"]
 files = [
-    {file = "idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3"},
-    {file = "idna-3.10.tar.gz", hash = "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9"},
+    {file = "idna-3.11-py3-none-any.whl", hash = "sha256:771a87f49d9defaf64091e6e6fe9c18d4833f140bd19464795bc32d966ca37ea"},
+    {file = "idna-3.11.tar.gz", hash = "sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902"},
 ]
 
 [package.extras]
@@ -1958,16 +2488,46 @@ all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2
 
 [[package]]
 name = "iniconfig"
-version = "2.1.0"
+version = "2.3.0"
 description = "brain-dead simple config-ini parsing"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.10"
 groups = ["dev"]
 files = [
-    {file = "iniconfig-2.1.0-py3-none-any.whl", hash = "sha256:9deba5723312380e77435581c6bf4935c94cbfab9b1ed33ef8d238ea168eb760"},
-    {file = "iniconfig-2.1.0.tar.gz", hash = "sha256:3abbd2e30b36733fee78f9c7f7308f2d0050e88f0087fd25c2645f63c773e1c7"},
+    {file = "iniconfig-2.3.0-py3-none-any.whl", hash = "sha256:f631c04d2c48c52b84d0d0549c99ff3859c98df65b3101406327ecc7d53fbf12"},
+    {file = "iniconfig-2.3.0.tar.gz", hash = "sha256:c76315c77db068650d49c5b56314774a7804df16fee4402c1f19d6d15d8c4730"},
+]
+
+[[package]]
+name = "isodate"
+version = "0.7.2"
+description = "An ISO 8601 date/time/duration parser and formatter"
+optional = false
+python-versions = ">=3.7"
+groups = ["main"]
+files = [
+    {file = "isodate-0.7.2-py3-none-any.whl", hash = "sha256:28009937d8031054830160fce6d409ed342816b543597cece116d966c6d99e15"},
+    {file = "isodate-0.7.2.tar.gz", hash = "sha256:4cd1aa0f43ca76f4a6c6c0292a85f40b35ec2e43e315b59f06e6d32171a953e6"},
+]
+
+[[package]]
+name = "jinja2"
+version = "3.1.6"
+description = "A very fast and expressive template engine."
+optional = false
+python-versions = ">=3.7"
+groups = ["main"]
+files = [
+    {file = "jinja2-3.1.6-py3-none-any.whl", hash = "sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67"},
+    {file = "jinja2-3.1.6.tar.gz", hash = "sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d"},
 ]
 
+[package.dependencies]
+MarkupSafe = ">=2.0"
+
+[package.extras]
+i18n = ["Babel (>=2.7)"]
+
 [[package]]
 name = "jmespath"
 version = "1.0.1"
@@ -1992,6 +2552,21 @@ files = [
     {file = "joblib-1.5.2.tar.gz", hash = "sha256:3faa5c39054b2f03ca547da9b2f52fde67c06240c31853f306aea97f13647b55"},
 ]
 
+[[package]]
+name = "jsonlines"
+version = "4.0.0"
+description = "Library with helpers for the jsonlines file format"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "jsonlines-4.0.0-py3-none-any.whl", hash = "sha256:185b334ff2ca5a91362993f42e83588a360cf95ce4b71a73548502bda52a7c55"},
+    {file = "jsonlines-4.0.0.tar.gz", hash = "sha256:0c6d2c09117550c089995247f605ae4cf77dd1533041d366351f6f298822ea74"},
+]
+
+[package.dependencies]
+attrs = ">=19.2.0"
+
 [[package]]
 name = "jsonpatch"
 version = "1.33"
@@ -2019,6 +2594,55 @@ files = [
     {file = "jsonpointer-3.0.0.tar.gz", hash = "sha256:2b2d729f2091522d61c3b31f82e11870f60b68f43fbc705cb76bf4b832af59ef"},
 ]
 
+[[package]]
+name = "jsonref"
+version = "1.1.0"
+description = "jsonref is a library for automatic dereferencing of JSON Reference objects for Python."
+optional = false
+python-versions = ">=3.7"
+groups = ["main"]
+files = [
+    {file = "jsonref-1.1.0-py3-none-any.whl", hash = "sha256:590dc7773df6c21cbf948b5dac07a72a251db28b0238ceecce0a2abfa8ec30a9"},
+    {file = "jsonref-1.1.0.tar.gz", hash = "sha256:32fe8e1d85af0fdefbebce950af85590b22b60f9e95443176adbde4e1ecea552"},
+]
+
+[[package]]
+name = "jsonschema"
+version = "4.25.1"
+description = "An implementation of JSON Schema validation for Python"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "jsonschema-4.25.1-py3-none-any.whl", hash = "sha256:3fba0169e345c7175110351d456342c364814cfcf3b964ba4587f22915230a63"},
+    {file = "jsonschema-4.25.1.tar.gz", hash = "sha256:e4a9655ce0da0c0b67a085847e00a3a51449e1157f4f75e9fb5aa545e122eb85"},
+]
+
+[package.dependencies]
+attrs = ">=22.2.0"
+jsonschema-specifications = ">=2023.03.6"
+referencing = ">=0.28.4"
+rpds-py = ">=0.7.1"
+
+[package.extras]
+format = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3987", "uri-template", "webcolors (>=1.11)"]
+format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "rfc3987-syntax (>=1.1.0)", "uri-template", "webcolors (>=24.6.0)"]
+
+[[package]]
+name = "jsonschema-specifications"
+version = "2025.9.1"
+description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "jsonschema_specifications-2025.9.1-py3-none-any.whl", hash = "sha256:98802fee3a11ee76ecaca44429fda8a41bff98b00a0f2838151b113f210cc6fe"},
+    {file = "jsonschema_specifications-2025.9.1.tar.gz", hash = "sha256:b540987f239e745613c7a9176f3edb72b832a4ac465cf02712288397832b5e8d"},
+]
+
+[package.dependencies]
+referencing = ">=0.31.0"
+
 [[package]]
 name = "langchain"
 version = "0.3.27"
@@ -2061,29 +2685,29 @@ xai = ["langchain-xai"]
 
 [[package]]
 name = "langchain-community"
-version = "0.3.28"
+version = "0.3.30"
 description = "Community contributed LangChain integrations."
 optional = false
-python-versions = ">=3.9"
+python-versions = "<4.0.0,>=3.9.0"
 groups = ["main"]
 files = [
-    {file = "langchain_community-0.3.28-py3-none-any.whl", hash = "sha256:52e437b8f4e899ff59fb90c54b5320bf99153da34f214488ebacdbc969a50faf"},
-    {file = "langchain_community-0.3.28.tar.gz", hash = "sha256:c97e03d91cade6c9fb73d756119744e1d4c4ea4b6b0a09f6faadfbb7360d335e"},
+    {file = "langchain_community-0.3.30-py3-none-any.whl", hash = "sha256:a49dcedbf8f320d9868d5944d0991c7bcc9f2182a602e5d5e872d315183c11c3"},
+    {file = "langchain_community-0.3.30.tar.gz", hash = "sha256:df68fbde7f7fa5142ab93b0cbc104916b12ab4163e200edd933ee93e67956ee9"},
 ]
 
 [package.dependencies]
 aiohttp = ">=3.8.3,<4.0.0"
-dataclasses-json = ">=0.6.7,<0.7"
+dataclasses-json = ">=0.6.7,<0.7.0"
 httpx-sse = ">=0.4.0,<1.0.0"
-langchain = ">=0.3.27,<1.0.0"
-langchain-core = ">=0.3.74,<1.0.0"
-langsmith = ">=0.1.125"
+langchain = ">=0.3.27,<2.0.0"
+langchain-core = ">=0.3.75,<2.0.0"
+langsmith = ">=0.1.125,<1.0.0"
 numpy = {version = ">=2.1.0", markers = "python_version >= \"3.13\""}
 pydantic-settings = ">=2.10.1,<3.0.0"
-PyYAML = ">=5.3"
-requests = ">=2.32.5,<3"
-SQLAlchemy = ">=1.4,<3"
-tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<10"
+PyYAML = ">=5.3.0,<7.0.0"
+requests = ">=2.32.5,<3.0.0"
+SQLAlchemy = ">=1.4.0,<3.0.0"
+tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<10.0.0"
 
 [[package]]
 name = "langchain-core"
@@ -2108,18 +2732,18 @@ typing-extensions = ">=4.7.0,<5.0.0"
 
 [[package]]
 name = "langchain-text-splitters"
-version = "0.3.9"
+version = "0.3.11"
 description = "LangChain text splitting utilities"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "langchain_text_splitters-0.3.9-py3-none-any.whl", hash = "sha256:cee0bb816211584ea79cc79927317c358543f40404bcfdd69e69ba3ccde54401"},
-    {file = "langchain_text_splitters-0.3.9.tar.gz", hash = "sha256:7cd1e5a3aaf609979583eeca2eb34177622570b8fa8f586a605c6b1c34e7ebdb"},
+    {file = "langchain_text_splitters-0.3.11-py3-none-any.whl", hash = "sha256:cf079131166a487f1372c8ab5d0bfaa6c0a4291733d9c43a34a16ac9bcd6a393"},
+    {file = "langchain_text_splitters-0.3.11.tar.gz", hash = "sha256:7a50a04ada9a133bbabb80731df7f6ddac51bc9f1b9cab7fa09304d71d38a6cc"},
 ]
 
 [package.dependencies]
-langchain-core = ">=0.3.72,<1.0.0"
+langchain-core = ">=0.3.75,<2.0.0"
 
 [[package]]
 name = "langdetect"
@@ -2138,14 +2762,14 @@ six = "*"
 
 [[package]]
 name = "langsmith"
-version = "0.4.29"
-description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
+version = "0.4.43"
+description = "Client library to connect to the LangSmith Observability and Evaluation Platform."
 optional = false
-python-versions = ">=3.9"
+python-versions = ">=3.10"
 groups = ["main"]
 files = [
-    {file = "langsmith-0.4.29-py3-none-any.whl", hash = "sha256:20f39c96057d47a83b6df2b18a5137e2389b5b41f34fe0a64a8d6812de3c0ccf"},
-    {file = "langsmith-0.4.29.tar.gz", hash = "sha256:7014606b6710cc1b14333c75cdb981d5bea3ed488626a026bad51d2a61e354c4"},
+    {file = "langsmith-0.4.43-py3-none-any.whl", hash = "sha256:c97846a0b15061bc15844aac32fd1ce4a8e50983905f80a0d6079bb41b112ae3"},
+    {file = "langsmith-0.4.43.tar.gz", hash = "sha256:75c2468ab740438adfb32af8595ad8837c3af2bd1cdaf057d534182c5a07407a"},
 ]
 
 [package.dependencies]
@@ -2158,12 +2782,25 @@ requests-toolbelt = ">=1.0.0"
 zstandard = ">=0.23.0"
 
 [package.extras]
+claude-agent-sdk = ["claude-agent-sdk (>=0.1.0) ; python_version >= \"3.10\""]
 langsmith-pyo3 = ["langsmith-pyo3 (>=0.1.0rc2)"]
 openai-agents = ["openai-agents (>=0.0.3)"]
 otel = ["opentelemetry-api (>=1.30.0)", "opentelemetry-exporter-otlp-proto-http (>=1.30.0)", "opentelemetry-sdk (>=1.30.0)"]
 pytest = ["pytest (>=7.0.0)", "rich (>=13.9.4)", "vcrpy (>=7.0.0)"]
 vcr = ["vcrpy (>=7.0.0)"]
 
+[[package]]
+name = "latex2mathml"
+version = "3.78.1"
+description = "Pure Python library for LaTeX to MathML conversion"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "latex2mathml-3.78.1-py3-none-any.whl", hash = "sha256:f089b6d75e85b937f99693c93e8c16c0804008672c3dd2a3d25affd36f238100"},
+    {file = "latex2mathml-3.78.1.tar.gz", hash = "sha256:f941db80bf41db33f31df87b304e8b588f8166b813b0257c11c98f7a9d0aac71"},
+]
+
 [[package]]
 name = "lxml"
 version = "5.4.0"
@@ -2314,12 +2951,51 @@ htmlsoup = ["BeautifulSoup4"]
 source = ["Cython (>=3.0.11,<3.1.0)"]
 
 [[package]]
-name = "markdown-it-py"
-version = "4.0.0"
-description = "Python port of markdown-it. Markdown parsing, done right!"
+name = "magika"
+version = "0.6.3"
+description = "A tool to determine the content type of a file with deep learning"
 optional = false
-python-versions = ">=3.10"
-groups = ["dev"]
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "magika-0.6.3-py3-none-any.whl", hash = "sha256:eda443d08006ee495e02083b32e51b98cb3696ab595a7d13900d8e2ef506ec9d"},
+    {file = "magika-0.6.3-py3-none-macosx_11_0_arm64.whl", hash = "sha256:86901e64b05dde5faff408c9b8245495b2e1fd4c226e3393d3d2a3fee65c504b"},
+    {file = "magika-0.6.3-py3-none-manylinux_2_28_x86_64.whl", hash = "sha256:3d9661eedbdf445ac9567e97e7ceefb93545d77a6a32858139ea966b5806fb64"},
+    {file = "magika-0.6.3-py3-none-win_amd64.whl", hash = "sha256:e57f75674447b20cab4db928ae58ab264d7d8582b55183a0b876711c2b2787f3"},
+    {file = "magika-0.6.3.tar.gz", hash = "sha256:7cc52aa7359af861957043e2bf7265ed4741067251c104532765cd668c0c0cb1"},
+]
+
+[package.dependencies]
+click = ">=8.1.7"
+numpy = {version = ">=2.1.0", markers = "python_version >= \"3.13\""}
+onnxruntime = [
+    {version = ">=1.17.0,<=1.20.1", markers = "sys_platform == \"win32\" and python_version > \"3.9\""},
+    {version = ">=1.17.0", markers = "python_version > \"3.9\" and sys_platform != \"win32\""},
+]
+python-dotenv = ">=1.0.1"
+
+[[package]]
+name = "mammoth"
+version = "1.10.0"
+description = "Convert Word documents from docx to simple and clean HTML and Markdown"
+optional = false
+python-versions = ">=3.7"
+groups = ["main"]
+files = [
+    {file = "mammoth-1.10.0-py2.py3-none-any.whl", hash = "sha256:a1c87d5b98ca30230394267f98614b58b14b50f8031dc33ac9a535c6ab04eb99"},
+    {file = "mammoth-1.10.0.tar.gz", hash = "sha256:cb6fbba41ccf8b5502859c457177d87a833fef0e0b1d4e6fd23ec372fe892c30"},
+]
+
+[package.dependencies]
+cobble = ">=0.1.3,<0.2"
+
+[[package]]
+name = "markdown-it-py"
+version = "4.0.0"
+description = "Python port of markdown-it. Markdown parsing, done right!"
+optional = false
+python-versions = ">=3.10"
+groups = ["main", "dev"]
 files = [
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     {file = "markdown_it_py-4.0.0.tar.gz", hash = "sha256:cb0a2b4aa34f932c007117b194e945bd74e0ec24133ceb5bac59009cda1cb9f3"},
@@ -2339,20 +3015,182 @@ testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions", "requests"]
 
 [[package]]
 name = "markdownify"
-version = "1.2.0"
+version = "1.2.2"
 description = "Convert HTML to markdown."
 optional = false
 python-versions = "*"
 groups = ["main"]
 files = [
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 ]
 
 [package.dependencies]
 beautifulsoup4 = ">=4.9,<5"
 six = ">=1.15,<2"
 
+[[package]]
+name = "markitdown"
+version = "0.1.3"
+description = "Utility tool for converting various files to Markdown"
+optional = false
+python-versions = ">=3.10"
+groups = ["main"]
+files = [
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+
+[package.dependencies]
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+azure-identity = {version = "*", optional = true, markers = "extra == \"all\""}
+beautifulsoup4 = "*"
+charset-normalizer = "*"
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+markdownify = "*"
+olefile = {version = "*", optional = true, markers = "extra == \"all\""}
+onnxruntime = {version = "<=1.20.1", markers = "sys_platform == \"win32\""}
+openpyxl = {version = "*", optional = true, markers = "extra == \"all\""}
+pandas = {version = "*", optional = true, markers = "extra == \"all\""}
+pdfminer-six = {version = "*", optional = true, markers = "extra == \"all\""}
+pydub = {version = "*", optional = true, markers = "extra == \"all\""}
+python-pptx = {version = "*", optional = true, markers = "extra == \"all\""}
+requests = "*"
+speechrecognition = {version = "*", optional = true, markers = "extra == \"all\""}
+xlrd = {version = "*", optional = true, markers = "extra == \"all\""}
+youtube-transcript-api = {version = ">=1.0.0,<1.1.0", optional = true, markers = "extra == \"all\""}
+
+[package.extras]
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+audio-transcription = ["pydub", "speechrecognition"]
+az-doc-intel = ["azure-ai-documentintelligence", "azure-identity"]
+docx = ["lxml", "mammoth"]
+outlook = ["olefile"]
+pdf = ["pdfminer-six"]
+pptx = ["python-pptx"]
+xls = ["pandas", "xlrd"]
+xlsx = ["openpyxl", "pandas"]
+youtube-transcription = ["youtube-transcript-api"]
+
+[[package]]
+name = "marko"
+version = "2.2.1"
+description = "A markdown parser with high extensibility."
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
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+toc = ["python-slugify"]
+
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 version = "3.26.1"
@@ -2391,130 +3229,246 @@ version = "0.1.2"
 description = "Markdown URL utilities"
 optional = false
 python-versions = ">=3.7"
-groups = ["dev"]
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 ]
 
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+python-versions = "*"
+groups = ["main"]
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+
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+python-versions = ">=3.11"
+groups = ["main"]
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+
 [[package]]
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 signals = ["blinker (>=1.4.0)"]
 signedtoken = ["cryptography (>=3.0.0)", "pyjwt (>=2.0.0,<3)"]
 
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+optional = false
+python-versions = ">=3.6"
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+pyobjc-framework-Vision = "*"
+
 [[package]]
 name = "olefile"
 version = "0.47"
@@ -2677,6 +3670,61 @@ files = [
 [package.extras]
 tests = ["pytest", "pytest-cov"]
 
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+description = "A flexible configuration library"
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+python-versions = ">=3.6"
+groups = ["main"]
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+
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+version = "1.20.1"
+description = "ONNX Runtime is a runtime accelerator for Machine Learning models"
+optional = false
+python-versions = "*"
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+packaging = "*"
+protobuf = "*"
+sympy = "*"
+
 [[package]]
 name = "opencv-python"
 version = "4.12.0.88"
@@ -2734,96 +3782,100 @@ et-xmlfile = "*"
 
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 python-versions = ">=3.9"
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 ]
 
 [package.dependencies]
@@ -3139,20 +4204,20 @@ xmp = ["defusedxml"]
 
 [[package]]
 name = "platformdirs"
-version = "4.4.0"
+version = "4.5.0"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 optional = false
-python-versions = ">=3.9"
+python-versions = ">=3.10"
 groups = ["dev"]
 files = [
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+    {file = "platformdirs-4.5.0.tar.gz", hash = "sha256:70ddccdd7c99fc5942e9fc25636a8b34d04c24b335100223152c2803e4063312"},
 ]
 
 [package.extras]
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-test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=8.3.4)", "pytest-cov (>=6)", "pytest-mock (>=3.14)"]
-type = ["mypy (>=1.14.1)"]
+docs = ["furo (>=2025.9.25)", "proselint (>=0.14)", "sphinx (>=8.2.3)", "sphinx-autodoc-typehints (>=3.2)"]
+test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=8.4.2)", "pytest-cov (>=7)", "pytest-mock (>=3.15.1)"]
+type = ["mypy (>=1.18.2)"]
 
 [[package]]
 name = "pluggy"
@@ -3160,7 +4225,7 @@ version = "1.6.0"
 description = "plugin and hook calling mechanisms for python"
 optional = false
 python-versions = ">=3.9"
-groups = ["dev"]
+groups = ["main", "dev"]
 files = [
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@@ -3170,193 +4235,276 @@ files = [
 dev = ["pre-commit", "tox"]
 testing = ["coverage", "pytest", "pytest-benchmark"]
 
+[[package]]
+name = "polyfactory"
+version = "3.0.0"
+description = "Mock data generation factories"
+optional = false
+python-versions = "<4.0,>=3.9"
+groups = ["main"]
+files = [
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+]
+
+[package.dependencies]
+faker = ">=5.0.0"
+typing-extensions = ">=4.6.0"
+
+[package.extras]
+attrs = ["attrs (>=22.2.0)"]
+beanie = ["beanie", "pydantic[email]", "pymongo (<4.9)"]
+full = ["attrs", "beanie", "msgspec", "odmantic", "pydantic", "sqlalchemy"]
+msgspec = ["msgspec"]
+odmantic = ["odmantic (<1.0.0)", "pydantic[email]"]
+pydantic = ["eval-type-backport (>=0.2.2)", "pydantic[email] (>=1.10)"]
+sqlalchemy = ["sqlalchemy (>=1.4.29)"]
+
 [[package]]
 name = "propcache"
-version = "0.3.2"
+version = "0.4.1"
 description = "Accelerated property cache"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
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-[package.extras]
-test = ["cffi", "hypothesis", "pandas", "pytest", "pytz"]
-
 [[package]]
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 version = "3.0.1"
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 [package.extras]
 global = ["pybind11-global (==3.0.1)"]
 
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+version = "2.12.0"
 description = "Settings management using Pydantic"
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-python-versions = ">=3.9"
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@@ -3573,6 +4803,18 @@ snowballstemmer = ">=2.2.0"
 [package.extras]
 toml = ["tomli (>=1.2.3) ; python_version < \"3.11\""]
 
+[[package]]
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+description = "Manipulate audio with an simple and easy high level interface"
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
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+
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 version = "3.4.0"
@@ -3591,7 +4833,7 @@ version = "2.19.2"
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 python-versions = ">=3.8"
-groups = ["dev"]
+groups = ["main", "dev"]
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@@ -3601,98 +4843,270 @@ files = [
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 [[package]]
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+version = "14.2.0"
 description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
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 [package.extras]
 jupyter = ["ipywidgets (>=7.5.1,<9)"]
 
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 pymysql = ["pymysql"]
 sqlcipher = ["sqlcipher3_binary"]
 
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 test = ["pytest", "tornado (>=4.5)", "typeguard"]
 
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+    {file = "yarl-1.22.0-py3-none-any.whl", hash = "sha256:1380560bdba02b6b6c90de54133c81c9f2a453dee9912fe58c1dcced1edb7cff"},
+    {file = "yarl-1.22.0.tar.gz", hash = "sha256:bebf8557577d4401ba8bd9ff33906f1376c877aa78d1fe216ad01b4d6745af71"},
 ]
 
 [package.dependencies]
@@ -5032,6 +7479,22 @@ idna = ">=2.0"
 multidict = ">=4.0"
 propcache = ">=0.2.1"
 
+[[package]]
+name = "youtube-transcript-api"
+version = "1.0.3"
+description = "This is an python API which allows you to get the transcripts/subtitles for a given YouTube video. It also works for automatically generated subtitles, supports translating subtitles and it does not require a headless browser, like other selenium based solutions do!"
+optional = false
+python-versions = "<3.14,>=3.8"
+groups = ["main"]
+files = [
+    {file = "youtube_transcript_api-1.0.3-py3-none-any.whl", hash = "sha256:d1874e57de65cf14c9d7d09b2b37c814d6287fa0e770d4922c4cd32a5b3f6c47"},
+    {file = "youtube_transcript_api-1.0.3.tar.gz", hash = "sha256:902baf90e7840a42e1e148335e09fe5575dbff64c81414957aea7038e8a4db46"},
+]
+
+[package.dependencies]
+defusedxml = ">=0.7.1,<0.8.0"
+requests = "*"
+
 [[package]]
 name = "zstandard"
 version = "0.25.0"
@@ -5146,5 +7609,5 @@ cffi = ["cffi (>=1.17,<2.0) ; platform_python_implementation != \"PyPy\" and pyt
 
 [metadata]
 lock-version = "2.1"
-python-versions = "^3.13"
-content-hash = "6f22228abad520d7767faff710e3d93976da50614bc4e16800ab0eaf0ccebf92"
+python-versions = ">=3.13,<3.14"
+content-hash = "6655b774c4f12296ed21599a71e15fba64876abe2d7eef3dace2bdbdaaecf4de"
diff --git a/services/document-extractor/pyproject.toml b/services/document-extractor/pyproject.toml
index 77a528da..782f36aa 100644
--- a/services/document-extractor/pyproject.toml
+++ b/services/document-extractor/pyproject.toml
@@ -61,7 +61,7 @@ license = "Apache-2.0"
 repository = "https://github.com/stackitcloud/rag-template"
 
 [tool.poetry.dependencies]
-python = "^3.13"
+python = ">=3.13,<3.14"
 extractor-api-lib = {path = "../../libs/extractor-api-lib", develop = true}
 
 [tool.poetry.group.dev.dependencies]
@@ -97,3 +97,8 @@ httpx = "^0.28.1"
 [build-system]
 requires = ["poetry-core"]
 build-backend = "poetry.core.masonry.api"
+
+[[tool.poetry.source]]
+name = "pytorch_cpu"
+url = "https://download.pytorch.org/whl/cpu"
+priority = "explicit"
diff --git a/services/frontend/libs/admin-app/feature-document/DocumentUploadContainer.vue b/services/frontend/libs/admin-app/feature-document/DocumentUploadContainer.vue
index 5dd33aa2..46576b65 100644
--- a/services/frontend/libs/admin-app/feature-document/DocumentUploadContainer.vue
+++ b/services/frontend/libs/admin-app/feature-document/DocumentUploadContainer.vue
@@ -1,5 +1,6 @@
 <script lang="ts" setup>
 import { CloudArrowUpIcon, GlobeAltIcon, InformationCircleIcon, XMarkIcon } from '@heroicons/vue/24/outline';
+import { allowedDocumentAccepts, allowedDocumentDisplayNames, isAllowedDocumentType } from '@shared/utils';
 import { computed, ref } from "vue";
 import { useI18n } from 'vue-i18n';
 import { useDocumentsStore } from '../data-access/+state/documents.store';
@@ -12,8 +13,9 @@ const isDragOver = ref(false);
 const fileInputRef = ref<HTMLInputElement>();
 const uploadedDocuments = computed((): UploadedDocument[] => store.uploadedDocuments);
 const isInvalidFileType = ref(false);
-const allowedFileTypes = ['application/pdf', 'application/vnd.openxmlformats-officedocument.wordprocessingml.document', 'application/vnd.openxmlformats-officedocument.presentationml.presentation', 'text/xml'];
 const uploadMethod = ref<'file' | 'confluence' | 'sitemap'>('file');
+const allowedFileTypesLabel = allowedDocumentDisplayNames.join(', ');
+const allowedFileInputAccept = allowedDocumentAccepts.join(',');
 
 
 // confluence configuration refs
@@ -33,7 +35,7 @@ const sitemapHeaderTemplate = ref('');
 const error = computed(() => store.error);
 
 const uploadDocuments = (files: File[]) => {
-    if (files.some(file => !allowedFileTypes.includes(file.type))) {
+    if (files.some(file => !isAllowedDocumentType(file.name, file.type))) {
         isInvalidFileType.value = true;
         return;
     }
@@ -162,12 +164,12 @@ const getErrorMessage = (errorType: string) => {
                 <div class="flex flex-col justify-center items-center pt-5 pb-6">
                     <CloudArrowUpIcon class="w-10 h-10 mb-4 text-accent-content" />
                     <p class="mb-1 font-bold text-cente">{{ t('documents.uploadSelectTitle') }}</p>
-                    <p class="text-xs opacity-50">{{ t('documents.uploadSelectDescription') }}</p>
+                    <p class="text-xs opacity-50">{{ t('documents.uploadSelectDescription') }} {{ allowedFileTypesLabel }}</p>
 
                     <button class="btn btn-sm mt-4 btn-accent" @click="fileInputRef!.click()">{{ t('documents.select')
                         }}</button>
                 </div>
-                <input ref="fileInputRef" type="file" multiple accept=".pdf,.docx,.pptx,.xml" @change="onFileInputChange"
+                <input ref="fileInputRef" type="file" multiple :accept="allowedFileInputAccept" @change="onFileInputChange"
                     class="hidden" />
             </div>
 
@@ -237,7 +239,7 @@ const getErrorMessage = (errorType: string) => {
                 <InformationCircleIcon class="w-6 h-6" />
                 <div>
                     <h3 class="font-bold">{{ t('documents.fileTypeNotAllowedTitle') }}</h3>
-                    <div class="text-xs">{{ t('documents.fileTypeNotAllowedDescription') }}</div>
+                    <div class="text-xs">{{ t('documents.fileTypeNotAllowedDescription') }} {{ allowedFileTypesLabel }}</div>
                 </div>
             </div>
         </div>
diff --git a/services/frontend/libs/i18n/admin/de.json b/services/frontend/libs/i18n/admin/de.json
index b4179ca6..af2daed8 100644
--- a/services/frontend/libs/i18n/admin/de.json
+++ b/services/frontend/libs/i18n/admin/de.json
@@ -4,7 +4,7 @@
     "uploadDocuments": "Dateien hochladen",
     "uploadDocumentsInfo": "Wählen Sie die Dateien ihrer Wahl aus und laden Sie sie hoch",
     "uploadSelectTitle": "Wählen Sie eine Datei oder ziehen Sie sie per Drag & Drop hierher",
-    "uploadSelectDescription": "Nur PDF-, DOCX-, PPTX- und XML-Dateien sind erlaubt",
+  "uploadSelectDescription": "Sie können hochladen:",
     "uploadDocumentCompleted": "Hochgeladen",
     "uploadProcessing": "Wird verarbeitet...",
     "uploadingDocument": "Wird hochgeladen...",
@@ -15,7 +15,7 @@
     "confluenceQueryHint": "Lassen Sie die Felder leer, um den gesamten Bereich zu laden, oder geben Sie einen Confluence Query Language (CQL) Ausdruck zum Filtern der Seiten ein",
     "loadConfluence": "Laden starten",
     "fileTypeNotAllowedTitle": "Dateityp nicht erlaubt",
-    "fileTypeNotAllowedDescription": "Nur PDF-, DOCX-, PPTX- und XML-Dateien sind erlaubt",
+  "fileTypeNotAllowedDescription": "Erlaubte Dateitypen:",
     "select": "Auswählen",
     "chat": "Chat starten",
     "uploadDocumentFailed": "Upload fehlgeschlagen",
diff --git a/services/frontend/libs/i18n/admin/en.json b/services/frontend/libs/i18n/admin/en.json
index f1f038fa..d5beb189 100644
--- a/services/frontend/libs/i18n/admin/en.json
+++ b/services/frontend/libs/i18n/admin/en.json
@@ -4,12 +4,12 @@
     "uploadDocuments": "Upload documents",
     "uploadDocumentsInfo": "Select the documents you want to upload",
     "uploadSelectTitle": "Select a file or drag & drop it here",
-    "uploadSelectDescription": "Only PDF, DOCX, PPTX, and XML files are allowed",
+  "uploadSelectDescription": "You can upload:",
     "uploadDocumentCompleted": "Completed",
     "uploadProcessing": "Processing...",
     "uploadingDocument": "Uploading...",
     "fileTypeNotAllowedTitle": "File type not allowed",
-    "fileTypeNotAllowedDescription": "Only PDF, DOCX, PPTX, and XML files are allowed",
+  "fileTypeNotAllowedDescription": "Allowed file types:",
     "fileUpload": "File Upload",
     "confluenceUpload": "Confluence",
     "confluenceLoadTitle": "Load Confluence content",
diff --git a/services/frontend/libs/shared/utils/src/index.ts b/services/frontend/libs/shared/utils/src/index.ts
index 3d5b3b77..20acce94 100644
--- a/services/frontend/libs/shared/utils/src/index.ts
+++ b/services/frontend/libs/shared/utils/src/index.ts
@@ -1,4 +1,5 @@
 export * from './lib/date.utils'
+export * from './lib/document-type.utils'
 export * from './lib/file-size-formatter.utils'
 export * from './lib/is-empty.utils'
 export * from './lib/marked.utils'
diff --git a/services/frontend/libs/shared/utils/src/lib/document-type.utils.spec.ts b/services/frontend/libs/shared/utils/src/lib/document-type.utils.spec.ts
new file mode 100644
index 00000000..97ee2116
--- /dev/null
+++ b/services/frontend/libs/shared/utils/src/lib/document-type.utils.spec.ts
@@ -0,0 +1,26 @@
+import { isAllowedDocumentType } from "./document-type.utils";
+
+declare const describe: (name: string, fn: () => void) => void;
+declare const it: (name: string, fn: () => void) => void;
+declare const expect: (value: unknown) => { toBe: (expected: unknown) => void };
+
+describe("isAllowedDocumentType", () => {
+    it("allows matching MIME types", () => {
+        expect(isAllowedDocumentType("report.pdf", "application/pdf")).toBe(true);
+    });
+
+    it("allows supported extensions when MIME is missing", () => {
+        expect(isAllowedDocumentType("notes.MD", "")).toBe(true);
+        expect(isAllowedDocumentType("walkthrough.mdx", "")).toBe(true);
+        expect(isAllowedDocumentType("diagram.PNG")).toBe(true);
+        expect(isAllowedDocumentType("readme.adoc")).toBe(true);
+    });
+
+    it("rejects unsupported files", () => {
+        expect(isAllowedDocumentType("archive.zip", "application/zip")).toBe(false);
+    });
+
+    it("allows plain text content type", () => {
+        expect(isAllowedDocumentType("transcript.txt", "text/plain")).toBe(true);
+    });
+});
diff --git a/services/frontend/libs/shared/utils/src/lib/document-type.utils.ts b/services/frontend/libs/shared/utils/src/lib/document-type.utils.ts
new file mode 100644
index 00000000..09b8ba64
--- /dev/null
+++ b/services/frontend/libs/shared/utils/src/lib/document-type.utils.ts
@@ -0,0 +1,103 @@
+const DOCUMENT_MIME_TYPES = [
+    "application/pdf",
+    "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
+    "application/vnd.openxmlformats-officedocument.presentationml.presentation",
+    "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
+    "application/xml",
+    "text/xml",
+    "text/html",
+    "text/markdown",
+    "text/x-markdown",
+    "text/mdx",
+    "text/x-mdx",
+    "text/plain",
+    "application/epub+zip",
+    "text/csv",
+    "application/csv",
+    "image/jpeg",
+    "image/jpg",
+    "image/png",
+    "image/tiff",
+    "image/bmp",
+] as const;
+
+const DOCUMENT_EXTENSIONS = [
+    "pdf",
+    "docx",
+    "pptx",
+    "xlsx",
+    "xml",
+    "html",
+    "md",
+    "mdx",
+    "asciidoc",
+    "adoc",
+    "csv",
+    "txt",
+    "epub",
+    "jpeg",
+    "jpg",
+    "png",
+    "tiff",
+    "tif",
+    "bmp",
+] as const;
+
+const DOCUMENT_ACCEPTS = [
+    ".pdf",
+    ".docx",
+    ".pptx",
+    ".xlsx",
+    ".xml",
+    ".html",
+    ".md",
+    ".mdx",
+    ".asciidoc",
+    ".adoc",
+    ".csv",
+    ".txt",
+    ".epub",
+    ".jpeg",
+    ".jpg",
+    ".png",
+    ".tiff",
+    ".tif",
+    ".bmp",
+] as const;
+
+const DOCUMENT_DISPLAY_NAMES = [
+    "PDF",
+    "DOCX",
+    "PPTX",
+    "XLSX",
+    "XML",
+    "HTML",
+    "Markdown (MD, MDX)",
+    "AsciiDoc (ADOC)",
+    "CSV",
+    "Plain text (TXT)",
+    "EPUB",
+    "Images (JPEG, PNG, TIFF, BMP)"
+] as const;
+
+const documentMimeTypeSet = new Set<string>(DOCUMENT_MIME_TYPES);
+const documentExtensionSet = new Set<string>(DOCUMENT_EXTENSIONS);
+
+export const allowedDocumentMimeTypes = [...DOCUMENT_MIME_TYPES];
+export const allowedDocumentExtensions = [...DOCUMENT_EXTENSIONS];
+export const allowedDocumentAccepts = [...DOCUMENT_ACCEPTS];
+export const allowedDocumentDisplayNames = [...DOCUMENT_DISPLAY_NAMES];
+
+export const isAllowedDocumentType = (filename: string, mimeType?: string): boolean => {
+    const normalizedMimeType = (mimeType ?? "").toLowerCase();
+    if (normalizedMimeType && documentMimeTypeSet.has(normalizedMimeType)) {
+        return true;
+    }
+
+    const extension = filename?.split(".").pop()?.toLowerCase();
+    if (!extension) {
+        return false;
+    }
+
+    return documentExtensionSet.has(extension);
+};
diff --git a/services/frontend/package-lock.json b/services/frontend/package-lock.json
index 799155c4..03389915 100644
--- a/services/frontend/package-lock.json
+++ b/services/frontend/package-lock.json
@@ -131,6 +131,7 @@
             "integrity": "sha512-2BCOP7TN8M+gVDj7/ht3hsaO/B/n5oDbiAyyvnRlNOs+u1o+JWNYTQrmpuNp1/Wq2gcFrI01JAW+paEKDMx/CA==",
             "dev": true,
             "license": "MIT",
+            "peer": true,
             "dependencies": {
                 "@babel/code-frame": "^7.27.1",
                 "@babel/generator": "^7.28.3",
@@ -1906,6 +1907,7 @@
                 }
             ],
             "license": "MIT",
+            "peer": true,
             "engines": {
                 "node": ">=18"
             },
@@ -1929,6 +1931,7 @@
                 }
             ],
             "license": "MIT",
+            "peer": true,
             "engines": {
                 "node": ">=18"
             }
@@ -3192,6 +3195,7 @@
             "integrity": "sha512-PRA911Blj99jR5RMeTunVbNXMF6Lp4vZXnk5GQjcnUWUTsrXtekg/pnmFFI2u/I36Y/2bITGS30GZCXei6uNkA==",
             "dev": true,
             "license": "MIT",
+            "peer": true,
             "dependencies": {
                 "fast-deep-equal": "^3.1.3",
                 "json-schema-traverse": "^1.0.0",
@@ -3292,6 +3296,7 @@
             "integrity": "sha512-PRA911Blj99jR5RMeTunVbNXMF6Lp4vZXnk5GQjcnUWUTsrXtekg/pnmFFI2u/I36Y/2bITGS30GZCXei6uNkA==",
             "dev": true,
             "license": "MIT",
+            "peer": true,
             "dependencies": {
                 "fast-deep-equal": "^3.1.3",
                 "json-schema-traverse": "^1.0.0",
@@ -4443,6 +4448,7 @@
             "integrity": "sha512-PRA911Blj99jR5RMeTunVbNXMF6Lp4vZXnk5GQjcnUWUTsrXtekg/pnmFFI2u/I36Y/2bITGS30GZCXei6uNkA==",
             "dev": true,
             "license": "MIT",
+            "peer": true,
             "dependencies": {
                 "fast-deep-equal": "^3.1.3",
                 "json-schema-traverse": "^1.0.0",
@@ -4677,7 +4683,7 @@
             "version": "20.19.19",
             "resolved": "https://registry.npmjs.org/@types/node/-/node-20.19.19.tgz",
             "integrity": "sha512-pb1Uqj5WJP7wrcbLU7Ru4QtA0+3kAXrkutGiD26wUKzSMgNNaPARTUDQmElUXp64kh3cWdou3Q0C7qwwxqSFmg==",
-            "devOptional": true,
+            "dev": true,
             "license": "MIT",
             "dependencies": {
                 "undici-types": "~6.21.0"
@@ -4970,6 +4976,7 @@
             "integrity": "sha512-TGf22kon8KW+DeKaUmOibKWktRY8b2NSAZNdtWh798COm1NWx8+xJ6iFBtk3IvLdv6+LGLJLRlyhrhEDZWargQ==",
             "dev": true,
             "license": "MIT",
+            "peer": true,
             "dependencies": {
                 "@typescript-eslint/scope-manager": "8.45.0",
                 "@typescript-eslint/types": "8.45.0",
@@ -5965,6 +5972,7 @@
             "integrity": "sha512-nrUSn7hzt7J6JWgWGz78ZYI8wj+gdIJdk0Ynjpp8l+trkn58Uqsf6RYrYkEK+3X18EX+TNdtJI0WxAtc+L84SQ==",
             "dev": true,
             "license": "MIT",
+            "peer": true,
             "dependencies": {
                 "argparse": "^2.0.1"
             },
@@ -5986,8 +5994,9 @@
             "version": "8.15.0",
             "resolved": "https://registry.npmjs.org/acorn/-/acorn-8.15.0.tgz",
             "integrity": "sha512-NZyJarBfL7nWwIq+FDL6Zp/yHEhePMNnnJ0y3qfieCrmNvYct8uvtiV41UvlSe6apAfk0fY1FbWx+NwfmpvtTg==",
-            "devOptional": true,
+            "dev": true,
             "license": "MIT",
+            "peer": true,
             "bin": {
                 "acorn": "bin/acorn"
             },
@@ -6745,6 +6754,7 @@
                 }
             ],
             "license": "MIT",
+            "peer": true,
             "dependencies": {
                 "baseline-browser-mapping": "^2.8.3",
                 "caniuse-lite": "^1.0.30001741",
@@ -7410,6 +7420,7 @@
             "dev": true,
             "hasInstallScript": true,
             "license": "MIT",
+            "peer": true,
             "dependencies": {
                 "@cypress/request": "^3.0.6",
                 "@cypress/xvfb": "^1.2.4",
@@ -8199,6 +8210,7 @@
             "integrity": "sha512-hB4FIzXovouYzwzECDcUkJ4OcfOEkXTv2zRY6B9bkwjx/cprAq0uvm1nl7zvQ0/TsUk0zQiN4uPfJpB9m+rPMQ==",
             "dev": true,
             "license": "MIT",
+            "peer": true,
             "dependencies": {
                 "@eslint-community/eslint-utils": "^4.8.0",
                 "@eslint-community/regexpp": "^4.12.1",
@@ -8456,6 +8468,7 @@
             "integrity": "sha512-7BZHsG3kC2vei8F2W8hnfDi9RK+cv5eKPMvzBdrl8Vuc0hR5odGQRli8VVzUkrmUHkxFEm4Iio1r5HOKslO0Aw==",
             "dev": true,
             "license": "MIT",
+            "peer": true,
             "dependencies": {
                 "@eslint-community/eslint-utils": "^4.4.0",
                 "natural-compare": "^1.4.0",
@@ -11345,6 +11358,7 @@
             "dev": true,
             "hasInstallScript": true,
             "license": "MIT",
+            "peer": true,
             "dependencies": {
                 "@napi-rs/wasm-runtime": "0.2.4",
                 "@yarnpkg/lockfile": "^1.1.0",
@@ -11981,6 +11995,7 @@
                 }
             ],
             "license": "MIT",
+            "peer": true,
             "dependencies": {
                 "nanoid": "^3.3.11",
                 "picocolors": "^1.1.1",
@@ -12557,6 +12572,7 @@
             "integrity": "sha512-I25/2QgoROE1vYV+NQ1En9T9UFB9Cmfm2CJ83zZOlaDpvz29wGQSZXWKw7MiNXau7wYgB/T9fVIdIuEQ+KbiiA==",
             "dev": true,
             "license": "MIT",
+            "peer": true,
             "dependencies": {
                 "@types/estree": "1.0.8"
             },
@@ -13290,6 +13306,7 @@
             "resolved": "https://registry.npmjs.org/tailwindcss/-/tailwindcss-3.4.18.tgz",
             "integrity": "sha512-6A2rnmW5xZMdw11LYjhcI5846rt9pbLSabY5XPxo+XWdxwZaFEn47Go4NzFiHu9sNNmr/kXivP1vStfvMaK1GQ==",
             "license": "MIT",
+            "peer": true,
             "dependencies": {
                 "@alloc/quick-lru": "^5.2.0",
                 "arg": "^5.0.2",
@@ -13742,6 +13759,7 @@
             "integrity": "sha512-jl1vZzPDinLr9eUt3J/t7V6FgNEw9QjvBPdysz9KfQDD41fQrC2Y4vKQdiaUpFT4bXlb1RHhLpp8wtm6M5TgSw==",
             "devOptional": true,
             "license": "Apache-2.0",
+            "peer": true,
             "bin": {
                 "tsc": "bin/tsc",
                 "tsserver": "bin/tsserver"
@@ -13810,6 +13828,7 @@
             "integrity": "sha512-EHrrEsyhOhxYt8MTg4zTF+DJMuNBzWwgvvOYNj/zm1vnaD/IC5zCXFehZv94Piqa2cRFfXrTFxIvO95L7Qc/cw==",
             "dev": true,
             "license": "MIT",
+            "peer": true,
             "dependencies": {
                 "@typescript-eslint/scope-manager": "8.44.1",
                 "@typescript-eslint/types": "8.44.1",
@@ -13894,7 +13913,7 @@
             "version": "6.21.0",
             "resolved": "https://registry.npmjs.org/undici-types/-/undici-types-6.21.0.tgz",
             "integrity": "sha512-iwDZqg0QAGrg9Rav5H4n0M64c3mkR59cJ6wQp+7C4nI0gsmExaedaYLNO44eT4AtBBwjbTiGPMlt2Md0T9H9JQ==",
-            "devOptional": true,
+            "dev": true,
             "license": "MIT"
         },
         "node_modules/unicode-canonical-property-names-ecmascript": {
@@ -14103,6 +14122,7 @@
             "integrity": "sha512-4nVGliEpxmhCL8DslSAUdxlB6+SMrhB0a1v5ijlh1xB1nEPuy1mxaHxysVucLHuWryAxLWg6a5ei+U4TLn/rFg==",
             "dev": true,
             "license": "MIT",
+            "peer": true,
             "dependencies": {
                 "esbuild": "^0.25.0",
                 "fdir": "^6.5.0",
@@ -14268,6 +14288,7 @@
             "integrity": "sha512-LUCP5ev3GURDysTWiP47wRRUpLKMOfPh+yKTx3kVIEiu5KOMeqzpnYNsKyOoVrULivR8tLcks4+lga33Whn90A==",
             "dev": true,
             "license": "MIT",
+            "peer": true,
             "dependencies": {
                 "@types/chai": "^5.2.2",
                 "@vitest/expect": "3.2.4",
@@ -14401,6 +14422,7 @@
             "resolved": "https://registry.npmjs.org/vue/-/vue-3.5.22.tgz",
             "integrity": "sha512-toaZjQ3a/G/mYaLSbV+QsQhIdMo9x5rrqIpYRObsJ6T/J+RyCSFwN2LHNVH9v8uIcljDNa3QzPVdv3Y6b9hAJQ==",
             "license": "MIT",
+            "peer": true,
             "dependencies": {
                 "@vue/compiler-dom": "3.5.22",
                 "@vue/compiler-sfc": "3.5.22",
@@ -14456,6 +14478,7 @@
             "integrity": "sha512-CydUvFOQKD928UzZhTp4pr2vWz1L+H99t7Pkln2QSPdvmURT0MoC4wUccfCnuEaihNsu9aYYyk+bep8rlfkUXw==",
             "dev": true,
             "license": "MIT",
+            "peer": true,
             "dependencies": {
                 "debug": "^4.4.0",
                 "eslint-scope": "^8.2.0",
