Music Free MIT open-source model + paid Resemble AI hosted platform Editor's pick

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
Chatterbox Visit
Quick answer

Yes, within limits. Chatterbox runs a free tier with paid plans above it.

Listed pricing: Free MIT open-source model + paid Resemble AI hosted platform.

Pricing not re-verified Is it free? Pricing Is it worth it?
Best for
Developers and teams who want to self-host an open-source, zero-shot voice cloning and text-to-speech model instead of a closed API.

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.

Is Chatterbox free?

Yes, within limits. Chatterbox runs a free tier with paid plans above it.

What the free tier covers: 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.

Listed pricing: Free MIT open-source model + paid Resemble AI hosted platform.

Pricing on this page has not been re-verified. The entry was last edited on , and no separate pricing check has been run since. Treat the figures as a record of what was published then and confirm on the official site.

What the free tier leaves out

Read straight off the plan list below. Vendors move features between tiers, so check the current split before you pay.

  • 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.

Chatterbox pricing

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.

One plan carries no published number: Hosted platform, recorded as “Check website for current pricing”. Nothing is estimated in its place. The vendor's own pricing page is the only source for those figures.

Pricing on this page has not been re-verified. The entry was last edited on , and no separate pricing check has been run since. Treat the figures as a record of what was published then and confirm on the official site.

Is Chatterbox worth it?

Worth it for Developers and teams who want to self-host an open-source, zero-shot voice cloning and text-to-speech model instead of a closed API.

You can test that on the free tier before paying anything. The recorded trade-offs are listed below, and any one of them can settle the question on its own.

The 8.8/10 AI Score is an editorial read of published capability, price and shipping pace. Nobody here has hands-on hours with Chatterbox. How we verify.

Worth it if

The strengths recorded against this entry.

  • 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

Not worth it if

Any one of these blocks your use case.

  • 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

What sets Chatterbox apart

  • Fully MIT-licensed open weights: free commercial use, self-hosting, no royalties or caps
  • Zero-shot voice cloning from a short reference clip, no per-voice training run
  • Emotion and intensity control plus 23+ language coverage via the Multilingual line
  • Imperceptible neural watermark on every output by default, unusual for an open-weights release

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.

How it compares

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Related reading

Ready to try Chatterbox?

Head to the official site to start with Chatterbox — pricing and plans are listed above.

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