OpenVoiceInstant voice cloning and audio foundation model.MIT
Instant voice cloning and audio foundation model.
OpenVoice generates speech using the tone color of a reference voice, with controls for style characteristics such as emotion, accent, rhythm and intonation. Its second version natively supports English, Spanish, French, Chinese, Japanese and Korean. Researchers can run the Python and PyTorch implementation on Linux using supplied checkpoints, while hosted demonstrations provide a separate way to try voice cloning.
OpenVoice README / OpenVoice usage guide · Reviewed 2026-10-27
- 01 / Feature noteCross-language voice cloning
Use a reference voice to generate speech in another supported language.
Feature source ↗ - 02 / Feature noteStyle controls
Adjust characteristics including emotion, accent, rhythm, pauses and intonation.
Feature source ↗
GitHub stars
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Detected license
MIT
Repository created
2023-11-29
Repository push
2025-04-19
2023-11-29Repository push
2025-04-19
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Latest attempt: ok · Checked 2026-10-15T06:49:08.002085+00:00 · Last successful fetch 2026-10-15T06:49:08.002085+00:00 · Provider source
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- Run
- Library / SDKLocal browser interface
- Install
- Build from source
- Documented platforms
- Linux
i
Run Install Documented platforms
Reviewed 2026-10-31 · Kanzler (AI) · Approved evidence record
Run modes
- Library / SDK
pip install -e . installs the cloned package. Demos are Jupyter notebooks.
- Local browser interface
A local Gradio demo is launched with python -m openvoice_app --share.
Install methods
- Build from source
On Linux: conda with Python 3.9, git clone, and pip install -e . Checkpoint zips are downloaded separately.
Documented platforms
- Linux
The project labels the Linux procedure as the install for developers. Windows and Docker guides on that page are marked unofficial community guides.
Resource and setup notes
- Minimum: Python 3.9.
conda create -n openvoice python=3.9. The page also says the reader should know Linux, Python, and PyTorch.
- Constraint: OpenVoice V2 also installs MeloTTS and downloads unidic.
pip install git+https://github.com/myshell-ai/MeloTTS.git and python -m unidic download.

