ElevenLabs vs ChatTTS
ChatTTS is a focused, self-hostable dialogue text-to-speech model rather than a full replacement for ElevenLabs. Choose ChatTTS for noncommercial research or internally operated English/Chinese conversational-speech experiments where source access and prosody controls matter. Choose ElevenLabs for commercial production or when you need its broader voiceover, transcription, dubbing, cloning, media-generation, agent,
Decision guide
The practical reasons to choose either option, based on documented capabilities.
Choose ChatTTS if
- Researchers experimenting with self-hosted conversational text-to-speech
- Python teams generating English or Chinese dialogue with multiple speakers
- Noncommercial workflows needing controls for laughter, pauses, and interjections
Stay with ElevenLabs if
- Commercial use is required, because the released ChatTTS model is licensed CC BY-NC 4.0 and described as academic-use only
- You need transcription, multilingual dubbing, voice cloning, music, sound effects, or conversational-agent tooling
- You need broader language coverage than the documented English and Chinese support. and application APIs, or enterprise controls.
Deployment and operations
ChatTTS is self-hostable and Python-based. Installation is documented through requirements.txt, Conda, PyPI, GitHub, or an editable local checkout; a simple WebUI and command-line example are included. No Docker or Kubernetes packaging is documented. The code uses AGPLv3+, while the released model uses CC BY-NC 4.0 and is restricted to educational and research use. The repository describes itself as algorithm infrastructure with simple examples and directs users to a community index for extended
Feature fit
What ChatTTS covers
- Text-to-speech generation
- Expressive speech synthesis
- Multiple-speaker output
- Prosody controls
- Multilingual speech support, with ChatTTS limited to English and Chinese
What’s different or missing
- Speech transcription
- Multilingual dubbing workflow
- User voice cloning
- Audio and agent APIs
- Agent testing and guardrails
- Deployed voice and chat agents
- AI music generation
- Sound-effect generation
- Broad multilingual coverage
- Integrated production audio editor
Project snapshot
- GitHub stars
- 39,767
- Contributors
- 59
- Language
- Python
- Last commit
- Apr 10, 2026
- Latest release
- Apr 10, 2026
Categories: Audio Editing, Live Chat, Customer Support
Sources and editorial review12 linked sources
Public documentation supports this comparison. Automation assists collection and classification; editorial standards and corrections remain the responsibility of Kris.
A generative speech model for daily dialogue.
repository description · github.comChatTTS is a text-to-speech model designed for dialogue scenarios such as LLM assistant.
readme · github.comIt supports multiple speakers, facilitating interactive conversations.
readme · github.comFine-grained Control: The model could predict and control fine-grained prosodic features, including laughter, pauses, and interjections.
readme · github.comLaunch WebUI
readme · github.comStreaming audio generation.
readme · github.comChatTTS is a text-to-speech model designed specifically for dialogue scenarios such as LLM assistant.
verdict · github.comChatTTS is optimized for dialogue-based tasks, enabling natural and expressive speech synthesis. It supports multiple speakers, facilitating interactive conversations.
shared feature · github.comThe code is published under `AGPLv3+` license.
deployment · github.comThe model is published under `CC BY-NC 4.0` license. It is intended for educational and research use, and should not be used for any commercial or illegal purposes.
deployment · github.com- [x] English - [x] Chinese - [ ] Coming Soon...
consider original · github.comThis repo contains the algorithm infrastructure and some simple examples.
deployment · github.com
