#1414th of 51 in VoiceFor voice, speech and music

chatterbox

Open text-to-speech models with zero-shot voice cloning in 23+ languages

Stars
27.1k
License
MIT
Last commit
Jul 2026
Last release
Jun 2025
Language
Python

Missed the latest GitHub check; these facts may be older.

Overview

Chatterbox is a family of Python text-to-speech models from Resemble AI that clone a voice from a short reference clip. It includes a 500M multilingual V3 model covering 23 languages, a 350M English Turbo model for low-latency agents, and a 110M Nano model for CPU inference. Turbo and Nano support paralinguistic tags such as [laugh] and [cough].

Who it is for: Developers adding voice cloning and TTS to agents or apps

Strengths

  • Model sizes from 110M (Nano) to 500M (Multilingual V3) cover CPU through GPU use
  • Zero-shot voice cloning from a reference clip, including across languages
  • Turbo decoder distilled from 10 steps to one for lower latency
  • Every output carries a Perth watermark, with a documented extraction script

Weaknesses

  • Turbo and Nano are English only; multilingual needs the 500M model
  • Tested only on Python 3.11 on Debian 11; dependencies pinned
  • No built-in server, web UI or Docker setup; Python API only
  • Last tagged release is 2025-06-13, while newer models ship from main

What it needs

  • GPU optional
  • Needs PyTorch, torchaudio, Hugging Face model weights
  • Models: Chatterbox-Turbo 350M, Chatterbox-Nano 110M, Chatterbox-Multilingual V3 500M, Single Language Pack (6 finetunes), Chatterbox 500M English

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