VoxCPM vs chatterbox

Open-source text-to-speech projects compared

VoxCPM and chatterbox are open-source Python projects for generating speech from text, with voice cloning. VoxCPM emphasizes tokenizer-free multilingual synthesis and natural-language voice design, while chatterbox offers model variants for multilingual, low-latency English, and resource-constrained use.

VoxCPMchatterbox
LanguagePythonPython
LicenseApache-2.0MIT
Stars38.3k27.1k
Forks4.3k3.6k
Last analyzedOct 3, 2026Oct 21, 2026

Key differences

  • VoxCPM2 supports 30 languages and can create a voice from a natural-language description without reference audio; chatterbox Multilingual V3 supports 23 languages, and its Turbo and Nano examples use reference audio for cloning.
  • VoxCPM describes a tokenizer-free diffusion autoregressive approach and offers streaming generation and SFT or LoRA fine-tuning; chatterbox provides model variants with different language and compute targets.
  • VoxCPM documents 48 kHz output and lists about 8 GB of VRAM for VoxCPM2; chatterbox includes a 350M-parameter English Turbo model and a 110M-parameter Nano variant for CPU or resource-constrained use.
  • VoxCPM is licensed under Apache-2.0, while chatterbox is licensed under MIT.
  • VoxCPM offers Python and CLI workflows plus serving and edge-inference options; chatterbox documents Python APIs and CUDA, CPU, and MPS device options.
  • Chatterbox audio includes Resemble AI's Perth watermark; VoxCPM documents no comparable watermark feature.

Choose VoxCPM if you…

  • need multilingual speech generation across its 30 supported languages.
  • want to design voices from natural-language descriptions without reference audio.
  • need streaming generation, fine-tuning, or documented serving and edge-inference options.
Read the VoxCPM analysis →

Choose chatterbox if you…

  • want to choose among multilingual, lower-latency English, and CPU-oriented model variants.
  • need Turbo or Nano expressive tags such as `[laugh]` and `[chuckle]`.
  • want generated audio with a documented watermark and a method to check for it.
Read the chatterbox 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.