---
title: HNTAI - Medical Data Extraction API
emoji: 📉
colorFrom: blue
colorTo: green
sdk: docker
app_port: 7860
pinned: false
---

# HNTAI - Medical Data Extraction API

This is a Flask-based API for extracting and processing medical data from various document formats.

## Features
- Document text extraction (PDF, DOCX, Images)
- Audio transcription
- Medical data extraction
- PHI (Protected Health Information) scrubbing
- Text summarization

## Deployment on Hugging Face Spaces
- Uses Docker for deployment
- All models and data are cached in /tmp
- Optimized for memory usage
- Auto-retries for model loading
- Proper error handling

## Environment Variables
All necessary environment variables are pre-configured for Hugging Face Spaces deployment.

## API Endpoints
- POST /upload - Upload and process medical documents
- POST /transcribe - Transcribe audio files
- POST /extract_medical_data - Extract structured medical data
- POST /api/generate_summary - Generate text summaries
- POST /api/extract_medical_data_from_audio - Process audio recordings

For more details, check the API documentation.