AI-powered PDF form filling — extract, map, and fill any PDF form automatically.
Quick Start · Packages · Docs · Plugins · Benchmarks
Blank PDF form + your data
│
▼
pdf-mapper embed ← once per template (extract fields → LLM map → bake metadata)
│
▼
Embedded PDF ← cached and reusable
│
user data arrives via:
┌───────────────┬───────────────────┐
│ chatbot │ doc upload │ (or direct API call)
│ conversation │ any document │
└───────┬───────┴────────┬──────────┘
│ │
▼ ▼
pdf-mapper fill ← writes values into form fields
│
▼
Filled PDF ✓
| Package | PyPI | Version | Description |
|---|---|---|---|
| pdf-autofillr | umbrella | 1.1.5 | Install any combination via extras |
| pdf-autofillr-mapper | pip install pdf-autofillr-mapper |
1.0.11 | Core engine: extract · map · embed · fill |
| pdf-autofillr-chatbot | pip install "pdf-autofillr[chatbot]" |
0.3.1 | LLM conversation → PDF fill |
| pdf-autofillr-doc-upload | pip install "pdf-autofillr[doc-upload]" |
0.1.6 | Document extraction → PDF fill |
| pdf-autofillr-rag | pip install "pdf-autofillr[rag]" |
0.2.5 | Self-learning field prediction |
pip install "pdf-autofillr[all]" # everything
pip install pdf-autofillr-mapper # mapper only
pip install "pdf-autofillr[chatbot]" # chatbot + mapper
pip install "pdf-autofillr[doc-upload]" # doc upload + mapper
pip install "pdf-autofillr[chatbot-rag]" # chatbot + mapper + RAGpdf-autofillr setup # creates .env.example, configs/, data/
pdf-autofillr status # verify everything is configured
cp .env.example .env # add your API key# OpenAI (default)
LLM_MODEL=openai/gpt-4o-mini
OPENAI_API_KEY=sk-...
# Free local with Ollama
LLM_MODEL=ollama/llama3.1
# install: https://ollama.com — then: ollama pull llama3.1# Mapper
pdf-mapper embed --pdf blank_form.pdf
pdf-mapper fill --pdf blank_form.pdf --data user.json
pdf-mapper-server # → http://localhost:8000/docs
# Chatbot
chatbot-cli --pdf-path data/input/blank_form.pdf
chatbot-server # → http://localhost:8001/docs
# Doc Upload
doc-upload-cli --document investor.pdf --schema configs/form_keys.json
doc-upload-server # → http://localhost:8002/docs
# RAG
ragpdf-setup && ragpdf init-vectors
ragpdf-server # → http://localhost:8003/docschatbot ──┐
├──→ pdf-autofillr-mapper ──→ pdf-autofillr-rag (optional)
doc_upload┘ │
└──→ LLM (via LiteLLM — any provider)
└──→ Storage (local · S3 · Azure · GCS)
All packages support in-process or HTTP communication. See docs/architecture/system-overview.md.
pdf-autofillr/
│
├── packages/ ← The 5 PyPI packages (source of truth)
│ ├── mapper/ ← pdf-autofillr-mapper
│ ├── chatbot/ ← pdf-autofillr-chatbot
│ ├── doc_upload/ ← pdf-autofillr-doc-upload
│ ├── rag/ ← pdf-autofillr-rag
│ └── pdf_autofillr/ ← pdf-autofillr (umbrella)
│
├── plugins/ ← Extension framework
│ ├── core/ ← pdf-autofiller-core (shared interfaces)
│ ├── pdf_autofillr/ ← pdf-autofiller-plugins (plugin SDK)
│ ├── mapper/ ← mapper-specific plugin examples
│ ├── chatbot/ ← chatbot-specific plugin examples
│ ├── doc_upload/ ← doc_upload-specific plugin examples
│ └── rag/ ← rag-specific plugin examples
│
├── benchmarks/ ← LLM evaluation suite (all 4 packages)
├── deployment/ ← Docker for all 4 packages + cloud docs
├── docs/ ← Guides and architecture
└── examples/ ← Working Python examples for all packages
git clone https://github.com/Engineersmind/pdf-autofillr-python-sdk.git
cd pdf-autofillr-python-sdk
cd packages/mapper # or chatbot, rag, doc_upload
pip install -e ".[dev]"
cp .env.example .env
pytest tests/ -qSee CONTRIBUTING.md for the full guide and release process.
MIT — see LICENSE.