ChatTTS vs GPT-SoVITS

Dialogue speech synthesis and voice cloning compared

ChatTTS focuses on expressive, multi-speaker speech for dialogue, while GPT-SoVITS centers on adapting speech to a target voice. Both provide Python-based speech generation, but GPT-SoVITS also emphasizes voice conversion, fine-tuning, and WebUI tools for preparing audio.

ChatTTSGPT-SoVITS
LanguagePythonPython
LicenseAGPL-3.0MIT
Stars39.9k62.7k
Forks4.3k6.7k
Last analyzedOct 3, 2026Oct 12, 2026

Key differences

  • ChatTTS is designed for conversational delivery, with controls for cues such as pauses and laughter; GPT-SoVITS focuses on voice cloning, speech conversion, and text-to-speech.
  • ChatTTS supports Chinese and English, with English described as experimental; GPT-SoVITS lists Chinese, English, Japanese, Korean, and Cantonese workflows.
  • ChatTTS offers multiple speaker options and streaming generation; GPT-SoVITS supports zero-shot synthesis from a short reference clip and fine-tuning with a small amount of voice data.
  • ChatTTS provides command-line, web UI, and Python inference examples; GPT-SoVITS offers WebUI workflows for audio segmentation, transcription, labeling, and fine-tuning.
  • ChatTTS code uses AGPLv3+ and its released model has a separate CC BY-NC 4.0 license; GPT-SoVITS is licensed under MIT.
  • GPT-SoVITS documents installation for Windows, Linux, macOS, and Docker, with CPU and accelerator options; ChatTTS notes that a 30-second clip requires at least 4 GB of GPU memory.

Choose ChatTTS if you…

  • want expressive dialogue audio with cues such as pauses or laughter.
  • need multiple speaker options or streaming speech generation.
  • are exploring conversational synthesis in Chinese or experimental English.
Read the ChatTTS analysis →

Choose GPT-SoVITS if you…

  • want to clone or adapt a voice using a short reference clip or a small training dataset.
  • need speech conversion or cross-lingual voice workflows.
  • want WebUI tools for preparing audio and fine-tuning models.
Read the GPT-SoVITS analysis →

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This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.