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shakeebparwez/medi-extract

MediExtract simplifies medical data retrieval. FastAPI powers the backend, while pdf2image and pytesseract ensure accurate extraction. Regex-based parsers decode prescriptions, offering a reliable solution in healthcare data science.

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fastapipdf2imagepytesseractpytest

README

MediExtract

MediExtract is a FastAPI-based backend project designed for streamlined medical data extraction from prescription and patient detail PDFs. Leveraging pdf2image and pytesseract, it ensures accurate text extraction, while regex-based parsers decode key medical information.

Features

  • FastAPI Backend: Enables seamless PDF uploads for medical data extraction.
  • Text Extraction: Utilizes pdf2image and pytesseract for precise content extraction.
  • Regex Parsers: Specialized regex parsers for extracting patient names, medicines, and more.
  • Testing and Reliability: Incorporates pytest for automated testing, ensuring robust functionality.

Tech Stack

  • FastAPI
  • pdf2image
  • pytesseract
  • poppler-utils
  • pytest

Usage

  1. Clone the repository.
  2. Install dependencies: pip install -r requirements.txt
  3. Run the FastAPI server: uvicorn main:app --reload
  4. Access the API at http://127.0.0.1:8000/docs and use the /extract_from_doc endpoint for PDF extraction.

Contributing

Contributions are welcome! Fork the repository, make your changes, and submit a pull request.