OpenVoice
Open-source model that clones a speaker's voice from a short sample and speaks new text in it.
- Stars
- 38.1k
- Forks
- 4.3k
- Licence
- MIT
- Language
- Python
- Last update
- 1.5 years ago
- Type
- AI model / agent
No commits in over a year — check for forks or alternatives before adopting.
What it is
OpenVoice is a voice cloning model released by MIT and MyShell. You give it a short reference recording of a voice and text to say, and it generates speech that tries to match that voice's tone color, with control over style such as emotion, accent, rhythm and pauses. The README says V2 supports English, Spanish, French, Chinese, Japanese and Korean and is licensed under MIT for commercial and research use.
- Generate speech in a cloned voice from a short reference clip
- Produce speech in languages different from the reference speaker's language
- Adjust emotion, accent, rhythm, pauses or intonation of generated speech
- Study or extend the model for research on zero-shot TTS
Great for
- Developers who want to build voice cloning or text-to-speech features into their own projects
- Researchers studying zero-shot voice cloning and cross-lingual speech generation
- Creators who want to experiment with synthetic voices in several languages
- Teams that need a permissively licensed (MIT) voice model
Not ideal for
- Non-technical users looking for a ready-made app: the README points to usage docs for running it, and no end-user app is described
- People who need guaranteed production-grade audio quality or support, since the README does not describe SLAs or support channels
- Anyone wanting to clone voices without the speaker's consent, which raises ethical and legal concerns the README does not address in detail
How to get it
- 1
Clone and build from source
You'll need: Python
Clone the repository
git clone https://github.com/myshell-ai/OpenVoice - 2
Run it
- Clone the repository from GitHub.
- Read docs/USAGE.md for the detailed installation and usage instructions.
- Check docs/QA.md for common issues.
- Run the example usage described in the usage docs with a short reference audio clip.
- 3
Get the most out of it
- Use the V2 model for better audio quality and native support for six languages, per the README.
- Check docs/QA.md for answers to common setup problems.
- Review the paper (arXiv 2312.01479) to understand the method and its limits.
- Use the project's website for demos and background information.
Downloads
Strengths
- MIT licensed for both commercial and research use, according to the README
- Supports multiple languages and accents, including zero-shot cross-lingual cloning
- Offers granular control over style parameters such as emotion and accent
Trade-offs
- Latest release field is empty and the last push was April 2025, so maintenance status is unclear
- The README is brief; detailed setup and usage are delegated to separate docs the analysis did not see
- Requires comfort with Python and command-line setup
How it compares
| Project | Stars | Type | Level | Updated | Best for |
|---|---|---|---|---|---|
| OpenVoice (this) | 38.1k | AI model / agent | advanced | 1.5 years ago | Developers who want to build voice cloning or text-to-speech features into their own projects |
| GPT-SoVITS | 64.6k | App | intermediate | 5 days ago | Hobbyists who want to experiment with cloning a voice they have permission to use |
| piper | 11.3k | App | intermediate | 1.2 years ago | Developers who want offline speech output in a local app or home automation setup |
| voicebox | 59.2k | App | beginner | 30 days ago | People who want text-to-speech or voice cloning without sending audio to cloud services |
| supertonic | 13.8k | App | intermediate | 2 months ago | Developers who want to experiment with local, offline speech synthesis |
| Amphion | 10.3k | Library | advanced | 8 months ago | Researchers who want reproducible implementations of speech and audio generation models |
Stats synced from GitHub. The assessment above was drafted with AI from the project's README on 2026-10-29 and may miss recent changes — check the README before relying on a command. MIT licence: free to use, modify and distribute, including commercially, as long as you keep the copyright notice.