GPT-SoVITS
GPT-SoVITS is a free WebUI for few-shot voice conversion and text-to-speech.
What GPT-SoVITS is
GPT-SoVITS is a free WebUI for few-shot voice conversion and text-to-speech. It can produce speech from a five-second vocal sample, or use one minute of training data to improve voice similarity and realism. Cross-lingual inference supports English, Japanese, Korean, Cantonese, and Chinese. Its WebUI includes tools for separating voice accompaniment, segmenting training sets automatically, multilingual speech recognition, and text labeling. Speech-recognition options include Fun-ASR-Nano, SenseVoice, classic FunASR, and Faster Whisper. The repository also provides an API with GET and POST inference endpoints that return WAV audio streams on success. Installation guidance covers Windows, Linux, and macOS, and Docker Compose services are documented in full and Lite variants. The Lite image does not include ASR or UVR5 models; UVR5 models need manual downloading, while ASR models download as needed. On macOS, the project temporarily uses CPUs because it reports significantly lower quality from models trained with Mac GPUs. GPT-SoVITS is released under the MIT License and links to Chinese and English user guides.
Good
- Generates speech from a five-second vocal sample.
- Supports cross-lingual inference in five named languages.
- Includes dataset segmentation, ASR, and text-labeling tools.
- Provides GET and POST inference endpoints.
- Released under the MIT License.
Watch out
- Lite Docker image omits ASR and UVR5 models.
- UVR5 models must be downloaded manually for Lite.
- macOS temporarily uses CPUs for model operation.
Who it suits
GPT-SoVITS may suit people creating speech or voice-conversion models who want WebUI dataset tools and an API. Its guides and integrated tools are described as assistance for beginners building training datasets and models.
Verdict
GPT-SoVITS combines voice conversion and text-to-speech with dataset preparation tools, multiple language support, and an API. Users considering the Lite Docker image or macOS should note the documented model and processing limitations.
The facts
Each one read from GPT-SoVITS's own pages, with the date it was checked.
What it does
- API
- The repository includes an API exposing GET and POST inference endpoints that return WAV audio streams on success.checked 1 Oct 2026
- API access
- Yeschecked 20 Sep 2026
- ASR integrations
- The WebUI lists Fun-ASR-Nano, SenseVoice, and classic FunASR; Faster Whisper is also available as an ASR backend.checked 2 Oct 2026
- Commercial use
- Yeschecked 20 Sep 2026
- Dataset tools
- WebUI tools include accompaniment separation, automatic training-set segmentation, multilingual ASR, and text labeling.checked 2 Oct 2026
- Deployment
- The project documents Docker images and Docker Compose services, including full and Lite variants.checked 2 Oct 2026
- Docker
- Docker Compose defines full and Lite services for CUDA 12.6 and CUDA 12.8 environments.checked 1 Oct 2026
- Export formats
- wav,ogg,aacchecked 20 Sep 2026
- Few-shot TTS
- The project says users can fine-tune with one minute of training data to improve voice similarity and realism.checked 2 Oct 2026
- Intended users
- The integrated WebUI tools are described as assisting beginners in creating training datasets and GPT/SoVITS models.checked 1 Oct 2026
- Languages
- Cross-lingual inference supports English, Japanese, Korean, Cantonese, and Chinese.checked 2 Oct 2026
- License
- The repository identifies its license as MIT.checked 2 Oct 2026
- Lite limit
- The Lite Docker image does not include ASR or UVR5 models; UVR5 models must be downloaded manually and ASR models download as needed.checked 2 Oct 2026
- Local API
- The repository includes api.py and api_v2.py alongside the WebUI.checked 2 Oct 2026
- Operating systems
- Installation instructions are provided for Windows, Linux, and macOS.checked 2 Oct 2026
- Product
- GPT-SoVITS is a WebUI for few-shot voice conversion and text-to-speech.checked 2 Oct 2026
- Security policy
- GitHub reports that the project has no SECURITY.md security policy and no published security advisories.checked 1 Oct 2026
- Support material
- The README links to Chinese and English user guides.checked 1 Oct 2026
- User guide
- The README links to Chinese and English user guides.checked 2 Oct 2026
- Voice cloning
- Yeschecked 20 Sep 2026
Money
- Free plan
- Yeschecked 20 Sep 2026
Where it runs
- macOS limit
- The README says models trained with Mac GPUs produce significantly lower quality than models trained on other devices, so it temporarily uses CPUs instead.checked 2 Oct 2026
- macOS limitation
- The project says models trained with GPUs on Macs have significantly lower quality and therefore temporarily uses CPUs on macOS.checked 1 Oct 2026
- Platforms
- web,windows,macos,linux,apichecked 20 Sep 2026
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