Turn medical paperwork (handwritten prescriptions, lab reports, x-ray/MRI scans, insurance claims, scanned health records) into EMR/EHR-ready structured JSON using advanced OCR + AI contextual extraction.
✅ HIPAA & SOC 2 Compliant
✅ API-first, developer friendly
✅ Available in Python, Java, and Node.js
MediScan is a Healthcare OCR solution that helps healthcare providers, telehealth platforms, and insurers eliminate manual data entry by digitizing medical paperwork into structured, actionable data.
Key Benefits:
- Extracts handwriting, prescriptions, lab forms, claims, and medical scans
- Identifies labs, vitals, diagnoses, and medications automatically
- Outputs clean JSON ready for EMR/EHR systems or analytics pipelines
- Designed for high accuracy on noisy scans (faxes, handwritten notes, low-quality images)
- Advanced OCR → Handles low-quality scans & handwriting
- Contextual Extraction → Extracts diagnoses, medications, labs, prescriptions, imaging data
- Structured JSON Output → EMR-ready, no messy parsing required
- Multi-format Support → PDF, JPG, PNG
- API-First Integration → Plug into hospital, telehealth, or insurance workflows
- Compliance Built-In → HIPAA & SOC 2 certified
- Efficiency Gains → 70% less manual data entry → reduced admin burden & costs
health-ocr/
├── README.md # This file
├── LICENSE # MIT License
├── .gitignore # Git ignore rules
└── ocr/
├── README.md # OCR-specific documentation
├── python/ # Python implementation
├── java/ # Java implementation
├── nodejs/ # Node.js implementation
└── sample_files/ # Test files
- Python: 3.6+ with pip
- Java: 11+ with Maven
- Node.js: 14.0+ with npm
- Get API Access → contactus@unitedwecare.com
- Clone the repo
- Choose your language: Python, Java, or Node.js
- Add API Key to config
- Run examples with sample files
You can explore, test, and integrate the MediScan OCR API directly on RapidAPI:
- ✅ Test API calls in the RapidAPI Playground
- ✅ Get code snippets in Python, JavaScript, PHP, and more
- ✅ Manage authentication and subscription plans easily
We welcome contributions!
- Fork the repository
- Create a feature branch
- Add your implementation
- Test thoroughly
- Submit a pull request
MIT License. See LICENSE for details.