| name | Run private document extraction pipelines with Text Extract API |
| slug | run-private-document-extraction-pipelines-with-text-extract-api |
| description | 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. |
| github_stars | 3111 |
| verification | security_reviewed |
| source | https://github.com/CatchTheTornado/text-extract-api |
| author | CatchTheTornado |
| publisher_type | open_source |
| category | Data Extraction & Transformation |
| framework | Multi-Framework |
| tool_ecosystem | {"github_repo":"CatchTheTornado/text-extract-api","github_stars":3111} |
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:
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:
Documentation
Source
