ChatTTS vs ttsfm

Dialogue speech generation compared with an OpenAI-style TTS service

ChatTTS and ttsfm both generate speech from text, but take different approaches. ChatTTS is a dialogue-focused speech model with expressive delivery controls, while ttsfm provides an OpenAI-compatible API and client for a reverse-engineered speech service.

ChatTTSttsfm
LanguagePythonPython
LicenseAGPL-3.0MIT
Stars39.9k739
Forks4.3k114
Last analyzedOct 3, 2026Oct 11, 2026

Key differences

  • ChatTTS focuses on conversational audio with multiple speakers and cues such as pauses and laughter; ttsfm focuses on API-based speech generation and offers voice and audio-format choices.
  • ChatTTS supports Chinese and English, with English described as experimental; ttsfm exposes an OpenAI-style interface and does not specify language support here.
  • ChatTTS provides pretrained model resources and inference examples; ttsfm is a client and service built on the openai.fm backend, not a local speech model.
  • ChatTTS code is AGPL-3.0 and its model is separately licensed CC BY-NC 4.0; ttsfm is MIT-licensed, while its README cautions against commercial or production use.
  • ChatTTS notes a GPU memory requirement for local inference; ttsfm supports package use and Docker, with some capabilities limited in its slim Docker variant.
  • ChatTTS is described for academic and research use, with variable output stability; ttsfm is marked quiet, with no commits in the last 90 days and activity concentrated in one contributor.

Choose ChatTTS if you…

  • need dialogue-focused speech with multiple speakers or expressive delivery cues.
  • want to experiment with Chinese speech synthesis or research conversational prosody.
  • can work within the model’s non-commercial license and local hardware requirements.
Read the ChatTTS analysis →

Choose ttsfm if you…

  • want a Python client or REST API shaped like OpenAI’s text-to-speech interface.
  • need a web playground to try voices, formats, or playback speed.
  • are exploring a self-hosted prototype or research workflow within the project’s non-commercial and non-production guidance.
Read the ttsfm analysis →

Compare the numbers side by side, or add more projects

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