ChatTTS-ui Project Detailed Introduction

Project Overview

ChatTTS-ui is a simple local web interface project based on ChatTTS, created and maintained by developer jianchang512. This project provides users with a user-friendly web interface to use ChatTTS for text-to-speech synthesis, and also provides complete API interfaces for external calls.

Project Address: https://github.com/jianchang512/ChatTTS-ui

Project Description: A simple local web interface that uses ChatTTS to synthesize text into speech, while also supporting external API interfaces.

Core Features/Characteristics

🎯 Main Features

Text-to-Speech Synthesis: Supports converting mixed text of Chinese, English, numbers, and symbols into natural and fluent speech.
Multiple Voice Tone Support: Provides a variety of preset voice tone options, allowing users to choose different voice styles as needed.
Web Interface: Provides a simple and intuitive local web operation interface, which can be used without complex configuration.
API Interface: Complete RESTful API interface, convenient for integration into other applications.
Cross-Platform Support: Supports multiple operating systems such as Windows, Linux, and macOS.

🚀 Technical Features

GPU Acceleration: Supports NVIDIA CUDA and AMD ROCm GPU acceleration to improve speech synthesis speed.
Docker Deployment: Provides a Docker containerized deployment solution to simplify the deployment process.
Multiple Installation Methods: Supports multiple installation methods such as pre-compiled packages, source code deployment, and Docker.
Voice Tone Customization: Supports custom voice tone seed values to generate personalized voices.
Control Character Support: Supports voice control characters such as laughter and pauses to enhance expressive effects.

📋 Supported Languages and Formats

Language Support: Chinese, English, and mixed Chinese and English.
Output Format: WAV audio file.
Text Processing: Supports complex text content such as numbers, symbols, and control characters.

Deployment Methods

1. Pre-compiled Package Deployment (Recommended for Beginners)

Download the compressed package from the Releases page.
Unzip it and run app.exe directly.
Automatically open the browser to access http://127.0.0.1:9966

2. Docker Deployment

# GPU version
docker compose -f docker-compose.gpu.yaml up -d

# CPU version
docker compose -f docker-compose.cpu.yaml up -d

3. Source Code Deployment

# Clone the project
git clone https://github.com/jianchang512/ChatTTS-ui.git

# Create a virtual environment
python3 -m venv venv
source ./venv/bin/activate

# Install dependencies
pip3 install -r requirements.txt

# Start the service
python3 app.py

System Requirements

Hardware Requirements

Memory: 4GB or more is recommended.
Graphics Card: NVIDIA graphics card with 4GB or more of video memory (optional, for GPU acceleration).
Storage: At least 2GB of available space (for model files).

Software Environment

Python: Version 3.9-3.11
Operating System: Windows 10+, Linux, macOS
Dependencies: FFmpeg (must be installed)
CUDA: 11.8+ (optional for GPU acceleration)

Application Scenarios

🎭 Content Creation

Video dubbing and narration production
Podcast and audio content generation
Educational training material speech synthesis

🤖 Development Integration

Chatbot voice replies
Intelligent customer service voice broadcast
Application voice prompts

📢 Commercial Applications

Advertising and promotional video dubbing
Telephone system voice navigation
Multimedia presentation voice

Project Advantages

Easy to Use: Provides an intuitive web interface, no professional technical background required.
Simple Deployment: Multiple deployment methods, suitable for users with different technical levels.
Excellent Performance: Supports GPU acceleration, fast speech synthesis speed.
Open Source and Free: Completely open source, free to use and modify.
Active Maintenance: Continuous updates and bug fixes, good community support.
Complete API: Provides a complete API interface for easy integration and development.

Summary

ChatTTS-ui is a complete and easy-to-use text-to-speech solution. It wraps the powerful ChatTTS model in a friendly interface, providing convenient speech synthesis tools for individual users and developers. Whether it is content creation, application development, or commercial applications, you can find suitable use scenarios.