TTSFM
TTSFM is a reverse-engineered API server that mirrors OpenAI's TTS service. It provides a compatible interface for text-to-speech conversion with multiple voice options. This project is ideal for both learning and testing purposes, and it aims to replicate the features of the official OpenAI TTS service.
Key Features:
- Compatible Interface: Works seamlessly with OpenAI’s TTS API format, allowing users familiar with the original service to adapt quickly.
- Multiple Voice Options: Includes a variety of voices for different tones and styles in speech conversion.
- Easy Deployment with Docker: Simplifies the setup and deployment processes.
- Detailed API Documentation: Comprehensive guides and examples for using the API effectively.
Benefits:
- Open Source Learning: Perfect for developers wanting to learn about TTS systems and experiment with AI voice models.
- Customization: Flexible configurations for server and Celery worker setups.
- Active Development: Continual updates and improvements, with clear distinctions between stable and experimental versions.
Highlights:
- Built with Flask and Celery, ensuring robust performance.
- Provides voice samples and queue status via dedicated API endpoints.
- The project is licensed under the MIT License, promoting open source principles.
