A one-stop Text-to-Speech WebUI platform integrating multiple TTS models.

TTS-WebUI Project Detailed Introduction

Project Overview

TTS-WebUI is a powerful Text-to-Speech (TTS) Web interface platform developed and maintained by rsxdalv. This project integrates various advanced TTS models into a unified Web interface, providing users with a convenient speech synthesis solution.

Project Address: https://github.com/rsxdalv/TTS-WebUI

Core Features

🎯 Multi-Model Integration

The project integrates over 20 different TTS and audio generation models, including:

Text-to-Speech Models

• ACE-Step - High-quality speech synthesis
• Kimi Audio - 7B Instruct Model
• Piper TTS - Lightweight speech synthesis
• GPT-SoVITS - GPT-based speech synthesis
• CosyVoice - Multilingual speech synthesis
• XTTSv2 - Cross-lingual text-to-speech
• DIA - Conversational AI voice
• Kokoro - Emotional speech synthesis
• OpenVoice - Open-source voice cloning
• ParlerTTS - Prompt-driven dynamic voice generation
• StyleTTS2 - Stylized speech synthesis
• Tortoise - High-quality speech synthesis
• Bark - Multilingual speech model

Audio Generation Models

• Stable Audio - Stable audio generation
• MMS - Multilingual speech recognition
• MAGNet - Audio generation network
• AudioGen - Audio content generation
• MusicGen - Music generation model

Voice Processing Tools

• RVC - Retrieval-based Voice Conversion
• Vocos - Improved encoder-decoder
• Demucs - Audio separation
• SeamlessM4T - Multimodal translation

🖥️ Dual Interface Design

Gradio Interface

• Traditional Web interface, easy to use
• Supports real-time preview and debugging
• Complete model configuration options

React Interface

• Modern user experience
• Responsive design
• Advanced features and customization options

🔧 Technical Architecture

Frontend Technology

• React - Modern Web frontend framework
• Gradio - Rapid prototyping interface for machine learning models

Backend Technology

• Python - Main programming language
• PyTorch - Deep learning framework
• FastAPI - High-performance API framework

Supported Platforms

• Windows - Fully supported
• Linux - Fully supported
• macOS - Basic support (some features limited)

Installation & Deployment

Quick Installation

Automatic Installation (Recommended)

# Download the latest version
wget https://github.com/rsxdalv/tts-webui/archive/refs/heads/main.zip

# Unzip and run
unzip main.zip
cd tts-webui-main

# Windows users
start_tts_webui.bat

# Linux/macOS users
./start_tts_webui.sh

Docker Deployment

# Pull the image
docker pull ghcr.io/rsxdalv/tts-webui:main

# Start using Docker Compose
docker compose up -d

# View logs
docker logs tts-webui

Port Configuration

• Gradio Backend: http://localhost:7770
• React Frontend: http://localhost:3000

System Requirements

• Base Installation Size: Approximately 10.7 GB
• Per Model: Additional 2-8 GB of space required
• Python Version: 3.10 (recommended)
• GPU: NVIDIA CUDA support (optional, CPU can also run but slower)

Main Features

📢 Speech Synthesis

• Supports multiple languages and dialects
• Adjustable speech speed, pitch, and volume
• Supports batch processing of long texts
• Real-time voice preview

🎵 Music Generation

• Prompt-based music creation
• Supports multiple music styles
• Adjustable music length and complexity

🔄 Voice Conversion

• Voice cloning technology
• Voice style transfer
• Multi-speaker speech synthesis

🔌 API Integration

• OpenAI compatible API interface
• Supports SillyTavern integration
• RESTful API design
• Batch processing interface

Extension System

Extension Management

The project adopts a modular extension system, allowing users to:

• Install extensions through the Web interface
• Manage extensions in batches using the extension manager
• Customize extension development

Recommended Extensions

• Kokoro TTS API - OpenAI compatible speech synthesis API
• ACE-Step - High-quality speech synthesis
• OpenVoice V2 - Latest version of voice cloning
• Chatterbox - Conversational speech synthesis

Use Cases

🎙️ Content Creation

• Podcast production
• Audiobook
• Video dubbing
• Advertisement production

🎮 Game Development

• Character voice
• Game narration
• Multilingual localization

🤖 AI Applications

• Intelligent assistant
• Chatbot
• Voice interaction system

📚 Education and Training

• Online courses
• Language learning
• Accessible reading

Technical Features

🔧 Model Optimization

• Supports model quantization
• GPU/CPU adaptive
• Memory optimization management
• Batch processing acceleration

🔒 Security

• Local deployment options
• Data privacy protection
• Model permission control

🌐 Compatibility

• Cross-platform support
• Multiple audio formats
• Standard API interface
• Third-party integration

License Information

Code License

• Main Codebase: MIT License
• Dependencies: Each follows its respective license

Model License

• Bark: MIT License
• Tortoise: Apache-2.0 License
• MusicGen: CC BY-NC 4.0
• AudioGen: CC BY-NC 4.0

Notes

Some dependencies may use non-commercial licenses, please read the relevant license terms carefully before use.

Technical Stack Details

Core Dependencies

# Main dependencies
torch>=2.6.0          # Deep learning framework
gradio==5.5.0          # Web interface framework
transformers           # Pre-trained models
accelerate>=0.33.0     # Model acceleration
ffmpeg-python          # Audio processing

Audio Processing

• FFmpeg: Audio encoding and decoding
• librosa: Audio analysis
• soundfile: Audio file reading and writing
• torchaudio: PyTorch audio processing

Model Framework

• Hugging Face Transformers: Pre-trained models
• ONNX: Model optimization and deployment
• TensorRT: NVIDIA GPU acceleration

Performance Optimization

🚀 Acceleration Technology

• GPU Acceleration: CUDA and ROCm support
• Model Quantization: Reduce memory footprint
• Batch Processing: Improve throughput
• Caching Mechanism: Reduce redundant calculations

📊 Performance Metrics

• Latency: Typically <2 seconds (GPU environment)
• Throughput: Supports concurrent requests
• Memory Usage: Configurable memory limits
• Disk Space: Modular installation saves space

Summary

TTS-WebUI is a comprehensive text-to-speech solution that successfully integrates various advanced AI models into an easy-to-use Web interface. Whether you are an individual creator, a corporate developer, or a researcher, you can find a speech synthesis tool that suits your needs in this project.