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.

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.