ChatTTS is an open-source conversational text-to-speech model by 2Noise, designed to generate natural, expressive dialogue. It supports multiple speakers, stable voice timbre, and fine-grained control over prosody, enabling lifelike speech synthesis. Developers and researchers can integrate ChatTTS into chatbots, games, accessibility tools, and virtual assistants with a simple Python API and open-source framework for customization.
ChatTTS is an open-source conversational text-to-speech model by 2Noise, designed to generate natural, expressive dialogue. It supports multiple speakers, stable voice timbre, and fine-grained control over prosody, enabling lifelike speech synthesis. Developers and researchers can integrate ChatTTS into chatbots, games, accessibility tools, and virtual assistants with a simple Python API and open-source framework for customization.
ChatTTS is a generative speech model specifically optimized for dialogue-driven applications. Leveraging advanced neural architectures, it produces natural and expressive speech with controllable prosody and speaker similarity. Users can specify speaker identities, adjust speaking rate and pitch, and fine-tune emotional tone to match diverse conversational contexts. The model is open-source and hosted on Hugging Face, enabling seamless integration via Python APIs or direct model inference in local environments. ChatTTS supports real-time synthesis, batch processing, and multi-lingual capabilities, making it suitable for chatbots, virtual assistants, interactive storytelling, and accessibility tools that require dynamic, human-like voice interactions.
Who will use ChatTTS?
Developers
Researchers
Game Developers
Accessibility Solution Providers
Chatbot Engineers
How to use the ChatTTS?
Step1: Install ChatTTS via pip or clone the GitHub repository.
Step2: Load the ChatTTS model using the Python API.
Step3: Provide input text and specify speaker ID, prosody, and pitch parameters.
Step4: Call the synthesis function to generate audio output.
Step5: Play or save the generated speech as WAV or MP3.
Step6: Adjust parameters for desired expressiveness and integrate into applications.
Platform
web
mac
windows
linux
ChatTTS's Core Features & Benefits
The Core Features
Natural and expressive dialogue synthesis
Multi-speaker and voice timbre control
Fine-grained prosody adjustment
Real-time and batch processing
Open-source model on Hugging Face
The Benefits
High-quality conversational TTS
Flexible speaker and emotional control
Easy integration with Python APIs
Free and open-source
Customizable for domain-specific uses
ChatTTS's Main Use Cases & Applications
Chatbots and virtual assistants
Interactive gaming characters
Audiobook and voiceover production
Accessibility tools for the visually impaired
Educational language tools
ChatTTS's Pros & Cons
The Pros
Open-source availability allows for transparency and community contributions.
Focus on audio processing with AI enhancements such as TTS.
Presence on prominent developer platforms like GitHub and Hugging Face.
The Cons
Limited information about pricing options and service tiers.
No details on user interface or ease of integration.
No visible links to mobile apps or broader platform support.