---
title: Synthex
emoji: 🚀
colorFrom: red
colorTo: red
sdk: docker
app_port: 8000
tags:
  - fastapi
  - medical
  - ai
pinned: false
---

# Synthex AI - Medical Text Generation Platform

A synthetic medical text generator that creates realistic medical records using AI models. The application provides both a FastAPI backend and a Streamlit interface.

> **Note**: This Hugging Face Space runs the FastAPI version with HTML interface. For the Streamlit version, please run locally using `streamlit run app.py`.

## Features

- Generate various types of medical records:
  - Clinical Notes
  - Discharge Summaries
  - Lab Reports
  - Prescriptions
  - Patient Intake Forms
- Support for multiple AI models:
  - Hugging Face models (default)
  - Google Gemini (optional)
- Two interfaces:
  - FastAPI with HTML frontend (Hugging Face Space)
  - Streamlit interface (Local development)

## API Endpoints

- `GET /`: HTML interface
- `GET /record-types`: List available record types
- `POST /generate`: Generate medical records
  ```json
  {
    "record_type": "clinical_note",
    "quantity": 1,
    "use_gemini": false,
    "include_metadata": true
  }
  ```

## Deployment

### Local Development

1. Install dependencies:
   ```bash
   pip install -r requirements.txt
   ```

2. Run FastAPI server:
   ```bash
   uvicorn src.api.app:app --reload
   ```

3. Run Streamlit app (optional):
   ```bash
   streamlit run app.py
   ```

### Docker Deployment

1. Build the Docker image:
   ```bash
   docker build -t synthex-medical-generator .
   ```

2. Run the container:
   ```bash
   docker run -p 8000:8000 synthex-medical-generator
   ```

### Hugging Face Spaces Deployment

This Space runs the FastAPI version with HTML interface. The application is automatically deployed when you push to the repository.

## Environment Variables

- `GEMINI_API_KEY`: Google Gemini API key (optional)

## License

MIT License

## 🏢 Enterprise Solution

Synthex AI provides enterprise-grade synthetic medical data generation with:

- **HIPAA Compliance**: All generated data is synthetic and compliant with healthcare regulations
- **Enterprise Security**: SOC 2 Type II certified infrastructure
- **Custom Solutions**: Tailored generation for specific medical domains
- **API Access**: RESTful API for integration with existing systems
- **Dedicated Support**: 24/7 enterprise support and SLAs

## 💼 Use Cases

### Healthcare AI Development
- Train and test AI models without real patient data
- Generate diverse medical scenarios for model validation
- Create synthetic datasets for research and development

### Medical Software Testing
- Test EHR systems with realistic synthetic data
- Validate clinical decision support systems
- QA medical software with diverse patient scenarios

### Healthcare Research
- Conduct research with privacy-compliant data
- Generate synthetic datasets for medical studies
- Test hypotheses without patient privacy concerns

## 🚀 Features

### Core Features
- Multiple medical record types:
  - Clinical Notes
  - Discharge Summaries
  - Lab Reports
  - Prescriptions
  - Patient Intake Forms
- Advanced generation methods:
  - Hugging Face models (default)
  - Google Gemini API (premium)
  - Custom model integration (enterprise)
- Enterprise-grade UI/UX
- Multiple export formats (JSON, CSV, TXT)
- Batch generation capabilities
- API access (enterprise)

### Enterprise Features
- Custom model training
- Domain-specific generation
- Advanced data validation
- Integration support
- Dedicated infrastructure
- Custom SLAs

## 💰 Pricing

### Free Tier
- Basic medical record generation
- Limited to 100 records/month
- Community support
- Basic templates

### Pro Plan ($99/month)
- Up to 10,000 records/month
- Advanced generation features
- Priority support
- API access
- Custom templates

### Enterprise Plan (Custom)
- Unlimited generation
- Custom model training
- Dedicated support
- Custom integrations
- SLA guarantees
- On-premise deployment

## 🛠️ Technical Details

### Architecture
```
synthex/
├── app.py                 # Main Streamlit application
├── src/
│   ├── generation/        # Core generation logic
│   ├── api/              # REST API endpoints
│   ├── validation/       # Data validation
│   └── enterprise/       # Enterprise features
├── data/
│   └── generated/        # Generated records storage
├── tests/                # Test suite
├── Dockerfile           # Docker configuration
└── requirements.txt     # Python dependencies
```

### API Reference

```python
from synthex import SynthexClient

# Initialize client
client = SynthexClient(api_key="your_api_key")

# Generate records
records = client.generate_records(
    record_type="clinical_note",
    count=100,
    options={
        "include_metadata": True,
        "custom_fields": ["patient_demographics", "vital_signs"]
    }
)

# Export data
client.export_records(
    records,
    format="json",
    destination="s3://your-bucket/path"
)
```

## 🔒 Security & Compliance

- HIPAA Compliance
- SOC 2 Type II Certification
- GDPR Compliance
- Data Encryption at Rest and in Transit
- Regular Security Audits
- Access Control and Audit Logging

## 🤝 Enterprise Support

- 24/7 Technical Support
- Dedicated Account Manager
- Custom Integration Support
- Training and Onboarding
- Regular Updates and Maintenance
- Custom Development Services

## 📞 Contact

### Sales Inquiries
- Email: sales@synthex.ai
- Phone: +1 (555) 123-4567
- [Schedule a Demo](https://synthex.ai/demo)

### Technical Support
- Email: support@synthex.ai
- [Documentation](https://docs.synthex.ai)
- [API Reference](https://api.synthex.ai)

## 🌟 Why Choose Synthex AI?

1. **Enterprise-Ready**: Built for scale and security
2. **Compliance-First**: HIPAA and GDPR compliant
3. **Customizable**: Tailored to your needs
4. **Support**: Enterprise-grade support
5. **Innovation**: Cutting-edge AI technology

## 🚀 Getting Started

### Quick Start
```bash
# Install Synthex CLI
pip install synthex

# Initialize client
synthex init

# Generate records
synthex generate --type clinical_note --count 10
```

### Docker Deployment
```bash
# Pull image
docker pull synthex/synthex:latest

# Run container
docker run -p 8501:8501 synthex/synthex
```

## 📚 Documentation

- [User Guide](https://docs.synthex.ai/guide)
- [API Documentation](https://docs.synthex.ai/api)
- [Enterprise Guide](https://docs.synthex.ai/enterprise)
- [Security Whitepaper](https://docs.synthex.ai/security)

## 🙏 Acknowledgments

- Built with [Streamlit](https://streamlit.io/)
- Powered by [Hugging Face](https://huggingface.co/)
- Enterprise features by [Google Cloud](https://cloud.google.com/)

---

© 2024 Synthex AI. All rights reserved.