agentskillexchange Run private document extraction pipelines with Text Extract API
Use Text Extract API when an agent needs to turn PDFs, Office files, or images into Markdown or structured JSON with local OCR, optional Ollama models, PII removal, and queued batch processing.
Prerequisites
Python, FastAPI, Celery, Redis, Docker, Ollama, OCR backend
Installation
Use the upstream install or setup path that matches your environment:
- Download and install Docker
- git clone https://github.com/CatchTheTornado/text-extract-api.git
- pip install -e .
- brew update && brew install libmagic poppler pkg-config ghostscript ffmpeg automake autoconf
Requirements and caveats from upstream:
- No Cloud/external dependencies all you need: PyTorch based OCR (EasyOCR) + Ollama are shipped and configured via docker-compose no data is sent outside your dev/server environment,
- python client/cli.py ocr_upload --file examples/example-mri.pdf --prompt_file examples/example-mri-2-json-prompt.txt
- python client/cli.py ocr_upload --file examples/example-invoice.pdf --prompt_file examples/example-invoice-remove-pii.txt
Basic usage or getting-started notes:
Before running the example see getting started
Extracted from upstream docs: https://raw.githubusercontent.com/CatchTheTornado/text-extract-api/HEAD/README.md