Conversational text-to-speech
ChatTTS is positioned for conversational scenarios rather than generic narration, with a focus on dialogue tasks and conversational introductions.
ChatTTS
Freemium
ChatTTS is a conversational text-to-speech model for Chinese and English.
What is ChatTTS?
ChatTTS is a text-to-speech voice generation model designed for conversational scenarios. The product is presented as a GitHub project at 2noise/chattts and as a free online ChatTTS experience on the site.
Its stated purpose is to generate speech for dialogue-oriented workflows, including large language model assistant conversations and conversational audio or video introductions. The source says the model supports both Chinese and English and was trained on approximately 100,000 hours of Chinese and English data to improve speech quality and naturalness.
The site also describes a planned open-source base model trained on 40,000 hours of data, aimed at supporting further research and development. A sample workflow on the page shows a simple Python-based setup that loads the model, converts text to speech, and plays the generated audio.
What can ChatTTS do?
Chinese and English support
The source states support for both Chinese and English, which makes the model usable in multilingual workflows.
Large-scale training data
The page describes training on approximately 100,000 hours of Chinese and English data to improve speech quality and naturalness.
LLM dialogue compatibility
The site says the model is suited to LLM assistant dialogue tasks, so it can be used where synthetic speech needs to fit a conversation flow.
Planned open-source base model
The source notes a planned open-source base model trained on 40,000 hours of data for the academic and developer community.
Text input to audio output
The usage example shows a short workflow: load the model, pass in text, and generate audio output with `chat.infer(...)`.
Use Cases
“LLM assistant conversations”
Use ChatTTS when an LLM assistant needs spoken responses that fit a dialogue context instead of sounding like a generic voiceover.
“Audio and video introductions”
Generate voice for product walkthroughs, launch clips, or explainers where the source page mentions conversational audio and video introductions.
“Bilingual speech synthesis”
Convert written text into speech for Chinese- and English-language workflows that need multilingual support from one model.
“Prototype generation flow”
Follow the simple text-in, audio-out workflow shown on the page when you want a lightweight prototype or demo for speech generation.
“Research and developer exploration”
Use the planned open-source base model as a reference point if you are tracking research or community development around conversational TTS.
Frequently Asked Questions
What is ChatTTS used for?
ChatTTS is designed for conversational text-to-speech, including dialogue tasks for LLM assistants and conversational audio or video introductions.
Which languages does ChatTTS support?
The source says ChatTTS supports Chinese and English.
How do you start using ChatTTS?
The source shows a basic usage flow: clone the GitHub repository, install `torch` and `ChatTTS`, load the model, pass text into `chat.infer(...)`, and play the generated audio.
Is there an open-source model planned?
The page says the team plans to open-source a base model trained on 40,000 hours of data.
Does the page list pricing?
The source does not show pricing details. It presents ChatTTS as a free online product and references the GitHub project `2noise/chattts`.
Quick Facts
- Category
- Text-to-speech
- Primary use
- Conversational speech generation
- Languages
- Chinese and English
- Source domain
- chattts.com
- Project reference
- 2noise/ChatTTS on GitHub
- Pricing
- Not specified on the source page
ChatTTS Traffic Analysis
Traffic data is for reference only.
- Domain Rating
- 30
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