GPT-SoVITS

Input—per 1M tokens

Output—per 1M tokens

Context—tokens

WeightsClosed

About

GPT-SoVITS is ranked #34 of 218 in text-to-speech software on Inferse. It runs on API, Linux, macOS, Self-hosted, Web, Windows.

Compared on text-to-speech software

Free plan: Yesgithub.com
API access: Yesgithub.com
Commercial use: Yesgithub.com

Facts

Free plan: Yesgithub.com · 20 Sept 2026
Commercial use: Yesgithub.com · 20 Sept 2026
Voice cloning: Yesgithub.com · 20 Sept 2026
API access: Yesgithub.com · 20 Sept 2026
Export formats: wav,ogg,aacgithub.com · 20 Sept 2026
Platforms: web,windows,macos,linux,apigithub.com · 20 Sept 2026
What it does: GPT-SoVITS is a few-shot voice conversion and text-to-speech WebUI.github.com · 1 Oct 2026
Zero-shot TTS: A 5-second vocal sample can be used for instant text-to-speech conversion.github.com · 1 Oct 2026
Few-shot TTS: The model can be fine-tuned with 1 minute of training data for improved voice similarity and realism.github.com · 1 Oct 2026
Languages: Cross-lingual inference supports English, Japanese, Korean, Cantonese and Chinese.github.com · 1 Oct 2026
WebUI tools: The WebUI includes voice accompaniment separation, automatic training-set segmentation, multilingual ASR, and text labeling.github.com · 1 Oct 2026
ASR integrations: The WebUI offers Fun-ASR-Nano, SenseVoice and classic FunASR backends, and Faster Whisper is also available.github.com · 1 Oct 2026
API: The repository includes an API exposing GET and POST inference endpoints that return WAV audio streams on success.github.com · 1 Oct 2026
Docker: Docker Compose defines full and Lite services for CUDA 12.6 and CUDA 12.8 environments.github.com · 1 Oct 2026
Windows support: Windows users tested on Windows 10 or newer can download an integrated package and start the WebUI with go-webui.bat.github.com · 1 Oct 2026
macOS limitation: The project says models trained with GPUs on Macs have significantly lower quality and therefore temporarily uses CPUs on macOS.github.com · 1 Oct 2026
License: The software is released under the MIT License, which permits use, copying, modification, distribution, sublicensing and sale subject to the license conditions.github.com · 1 Oct 2026
Security policy: GitHub reports that the project has no SECURITY.md security policy and no published security advisories.github.com · 1 Oct 2026
Intended users: The integrated WebUI tools are described as assisting beginners in creating training datasets and GPT/SoVITS models.github.com · 1 Oct 2026
Support material: The README links to Chinese and English user guides.github.com · 1 Oct 2026
Product: GPT-SoVITS is a WebUI for few-shot voice conversion and text-to-speech.github.com · 2 Oct 2026
Zero-shot TTS: Zero-shot text-to-speech can use a 5-second vocal sample.github.com · 2 Oct 2026
Few-shot TTS: The project says users can fine-tune with one minute of training data to improve voice similarity and realism.github.com · 2 Oct 2026
Languages: Cross-lingual inference supports English, Japanese, Korean, Cantonese, and Chinese.github.com · 2 Oct 2026
Dataset tools: WebUI tools include accompaniment separation, automatic training-set segmentation, multilingual ASR, and text labeling.github.com · 2 Oct 2026
ASR integrations: The WebUI lists Fun-ASR-Nano, SenseVoice, and classic FunASR; Faster Whisper is also available as an ASR backend.github.com · 2 Oct 2026
Local API: The repository includes api.py and api_v2.py alongside the WebUI.github.com · 2 Oct 2026
Operating systems: Installation instructions are provided for Windows, Linux, and macOS.github.com · 2 Oct 2026
Deployment: The project documents Docker images and Docker Compose services, including full and Lite variants.github.com · 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.github.com · 2 Oct 2026
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.github.com · 2 Oct 2026
License: The repository identifies its license as MIT.github.com · 2 Oct 2026
User guide: The README links to Chinese and English user guides.github.com · 2 Oct 2026