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Chatterbox

Resemble AI's open-source (MIT) text-to-speech and zero-shot voice cloning model with emotion control, 23+ languages, and a watermark on every output.

Updated 2026-06-27

8.8
AI Score / 10
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Overview

Chatterbox is Resemble AI's open-source text-to-speech and zero-shot voice cloning model, released under the permissive MIT license. Feed it a short reference clip and a script, and it generates speech in the target voice — no per-speaker training run required. It sits in the same neighborhood as ElevenLabs and Zonos2 but takes the opposite commercial posture: the weights are free to download, self-host, and use commercially with no royalties or usage caps.

What sets it apart from most open TTS projects is polish and traction. The model supports emotion and intensity control rather than flat monotone read-outs, spans 23+ languages via its Multilingual line, and ships recent Turbo and Multilingual V3 releases for faster or broader-coverage inference. Its GitHub repo has drawn roughly 25k stars and the Hugging Face model has passed a million downloads — numbers that make it one of the most-adopted open TTS systems available, which matters because community momentum drives fine-tunes, integrations, and bug fixes.

The detail worth flagging: every output carries Resemble's imperceptible neural watermark (their PerTh-style approach), so synthetic audio stays detectable downstream. That's a deliberate safety stance baked into an open-weights release — unusual, and a reason it's defensible to ship as the default rather than a stripped-down clone. Resemble AI also runs a paid hosted platform at app.resemble.ai for teams that want managed inference and enterprise support instead of standing up their own GPUs.

Key features

Zero-shot voice cloning

Clones a voice from a short reference sample without a dedicated training run, so you can spin up new speakers on demand instead of waiting on per-voice model training.

Emotion & intensity control

Exposes controls for emotional tone and intensity rather than producing flat, neutral narration — useful for character work, audiobooks, and expressive product voices.

Multilingual coverage

The Multilingual line supports 23+ languages, with recent V3 and Turbo releases improving coverage and inference speed for production use.

Built-in neural watermark

Every generated clip carries an imperceptible watermark so AI-synthesized speech remains detectable — a safety measure shipped by default in an open-weights model, which is rare.

Pricing

Free tier: The complete Chatterbox model is free under the MIT license — self-host it, use it commercially, no usage caps. You only pay if you opt into Resemble AI's hosted platform.

Open-source model (MIT) Free

Full model weights free to download and self-host. Commercial use permitted with no royalties or usage caps. Requires your own GPU/infrastructure.

Hosted platform Check website for current pricing

Managed inference via app.resemble.ai for teams that prefer not to self-host. Plans and enterprise options listed on the Resemble AI site.

Pros & cons

Pros

  • Fully open-source under MIT — commercial use, self-hosting, no royalties or per-character caps
  • Zero-shot voice cloning from a short sample, no per-voice training step
  • Emotion and intensity controls go beyond flat, monotone TTS
  • Imperceptible watermark on every output keeps synthetic audio detectable
  • Massive adoption (~25k GitHub stars, 1M+ HF downloads) means active maintenance and integrations

Cons

  • ×Self-hosting needs your own GPU and technical setup — there's no polished consumer app for the free model
  • ×Quality and naturalness vary across the 23+ languages; English is the strongest
  • ×Hosted-platform pricing is separate and not transparently listed alongside the open model
  • ×Open voice cloning raises real misuse risk; the watermark mitigates but doesn't prevent it

How it compares

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Related reading

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