Mindket

Chatterbox TTS

Newversion 1 · updated

Overview

Resemble AI's open text-to-speech models, with zero-shot voice cloning and emotion exaggeration control. The latest multilingual version covers 23 languages at 0.5B parameters.

Chatterbox TTS is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.

At a glance

You need
  • Python and pip
  • Enough disk space for the model files, at about 500M parameters per model
  • A short recording of a voice you have the right to use, if you want cloning
Runs in
  • A Python setup that follows the model card
  • The demo pages the makers list for each model, if you want to listen first
  • Windows, macOS or Linux with Python, to download the files
Start with
pip install -U huggingface_hub
hf download ResembleAI/chatterbox

Platform

WindowsOperating system
macOSOperating system
LinuxOperating system

About

What it is

Chatterbox is a family of open text-to-speech models from Resemble AI, released under the MIT license. It makes speech from text and can copy a voice from a short sample.

The newest release is Chatterbox Multilingual V3, a 0.5B model for 23 languages. The card says it improves speaker similarity, cuts hallucinations and sounds more natural. The family also has a Single Language Pack of 6 dedicated models and the original English Chatterbox.

Who it suits

Developers and creators who want expressive speech for videos, games, apps or agents, and teams that need one voice to speak many languages.

IndustryWho uses itHow they use itExample
MediaVideo creatorsAdd narration and character voicesVoice a short film in a chosen style
GamesGame developersGive characters spoken linesGenerate dialogue with extra emotion
LocalizationProduct teamsSpeak one voice in many languagesMake the same message in several languages

Skip it if you cannot get permission to use the voice you want to copy. Only use faces, voices and recordings you have the right to use.

Where to use it

  • A Python setup that follows the model card
  • The demo pages the makers list for each model, if you want to listen first
  • Windows, macOS or Linux with Python, to download the files
Use caseWhoWhat they get back
NarrationCreatorsSpeech from text in a voice you choose
Cross-language voiceLocalization teamsA voice that keeps its identity and accent across languages
Expressive readsGame and media makersSpeech with more or less emotion, through the exaggeration control

How to set it up

  • Python and pip
  • Enough disk space for the model files, at about 500M parameters per model
  • A short recording of a voice you have the right to use, if you want cloning
  1. Install the Hugging Face tools.
  2. Download the model files.
  3. Follow the model card for the code that loads the model and generates speech.
pip install -U huggingface_hub
hf download ResembleAI/chatterbox

How to use it

Give the model your text, and optionally a short voice sample to copy. The original model also offers CFG and exaggeration settings to make the delivery calmer or more dramatic.

ModelSizeLanguagesBest for
Chatterbox Multilingual V3500M23+Global apps and cross-language voice cloning
Single Language Pack500M each6 dedicated finetunesPriority languages and dialect-sensitive work
Chatterbox500MEnglishGeneral zero-shot speech with creative controls
Languages per Chatterbox model
Chatterbox original1 languages
Single Language Pack6 languages
Multilingual V323 languages

Example

You give the model a line of text and a short recording of your own voice. It speaks the line in a voice like yours, and you adjust the exaggeration setting to make it more lively.

For newcomers and experts

If you are new to speech models, start with the English model and plain text before you try cloning. Then move to the multilingual version.

If you know the field, V3 keeps the 0.5B size of earlier versions and focuses on speaker similarity and stability. The card says it reduces repeated and off-prompt speech.

  1. Download the model files
  2. Load the model in Python
  3. Give it text and an optional voice sample
  4. Receive speech

Good to know

  • The makers say it was compared with closed systems such as ElevenLabs and often preferred, and these claims are theirs
  • The card calls it the first open source TTS model with emotion exaggeration control
  • The makers also mention a paid hosted service with latency under 200 ms
  • Hugging Face lists 40 quantized and 93 fine-tuned versions made by other people
  • License: MIT
  • Cost to run: none named for the open models
  • Data it reaches: the files you download, the text you give it and any voice samples you provide
  • Not for: copying a voice without the right to use it

README and files

README

Chatterbox TTS

Resemble AI's open text-to-speech models, with zero-shot voice cloning and emotion exaggeration control. The latest multilingual version covers 23 languages at 0.5B parameters.

Made by ResembleAI on Hugging Face. These notes are Mindket's, written from its model page and model card; the model's own files and license are on Hugging Face.

About

What it is: Chatterbox is a family of open text-to-speech models from Resemble AI, released under the MIT license. It makes speech from text and can copy a voice from a short sample.

The newest release is Chatterbox Multilingual V3, a 0.5B model for 23 languages. The card says it improves speaker similarity, cuts hallucinations and sounds more natural. The family also has a Single Language Pack of 6 dedicated models and the original English Chatterbox.

Who it suits: Developers and creators who want expressive speech for videos, games, apps or agents, and teams that need one voice to speak many languages.

Industry | Who uses it | How they use it | Example
Media | Video creators | Add narration and character voices | Voice a short film in a chosen style
Games | Game developers | Give characters spoken lines | Generate dialogue with extra emotion
Localization | Product teams | Speak one voice in many languages | Make the same message in several languages

Skip it if you cannot get permission to use the voice you want to copy. Only use faces, voices and recordings you have the right to use.

Where to use it:

  • A Python setup that follows the model card
  • The demo pages the makers list for each model, if you want to listen first
  • Windows, macOS or Linux with Python, to download the files
Use case | Who | What they get back
Narration | Creators | Speech from text in a voice you choose
Cross-language voice | Localization teams | A voice that keeps its identity and accent across languages
Expressive reads | Game and media makers | Speech with more or less emotion, through the exaggeration control

How to set it up:

  • Python and pip
  • Enough disk space for the model files, at about 500M parameters per model
  • A short recording of a voice you have the right to use, if you want cloning
  1. Install the Hugging Face tools.
  2. Download the model files.
  3. Follow the model card for the code that loads the model and generates speech.
pip install -U huggingface_hub
hf download ResembleAI/chatterbox

How to use it: Give the model your text, and optionally a short voice sample to copy. The original model also offers CFG and exaggeration settings to make the delivery calmer or more dramatic.

Model | Size | Languages | Best for
Chatterbox Multilingual V3 | 500M | 23+ | Global apps and cross-language voice cloning
Single Language Pack | 500M each | 6 dedicated finetunes | Priority languages and dialect-sensitive work
Chatterbox | 500M | English | General zero-shot speech with creative controls
Title: Languages per Chatterbox model
Chatterbox original: 1 languages
Single Language Pack: 6 languages
Multilingual V3: 23 languages

Example: You give the model a line of text and a short recording of your own voice. It speaks the line in a voice like yours, and you adjust the exaggeration setting to make it more lively.

For newcomers and experts: If you are new to speech models, start with the English model and plain text before you try cloning. Then move to the multilingual version.

If you know the field, V3 keeps the 0.5B size of earlier versions and focuses on speaker similarity and stability. The card says it reduces repeated and off-prompt speech.

Download the model files
Load the model in Python
Give it text and an optional voice sample
Receive speech

Good to know:

  • The makers say it was compared with closed systems such as ElevenLabs and often preferred, and these claims are theirs
  • The card calls it the first open source TTS model with emotion exaggeration control
  • The makers also mention a paid hosted service with latency under 200 ms
  • Hugging Face lists 40 quantized and 93 fine-tuned versions made by other people
  • License: MIT
  • Cost to run: none named for the open models
  • Data it reaches: the files you download, the text you give it and any voice samples you provide
  • Not for: copying a voice without the right to use it

On Hugging Face, 13 November 2026

  • Task: text to speech
  • Library: chatterbox
  • Downloads in the last 30 days: 2,440,902
  • Likes: 1,911
  • License: mit
  • Languages: ar, da, de, el, en, es, fi, fr
  • Quantized versions: 40
  • Fine-tunes: 94
  • Tags: chatterbox, text-to-speech, speech, speech-generation, voice-cloning, multilingual-tts

Links

Get the model

Download its files with Hugging Face's command line:

pip install -U huggingface_hub
hf download ResembleAI/chatterbox

Then follow the usage in its model card. Nothing in this kit runs by itself.

Files
README.md  5 KB

1 file, 5 KB, downloaded as a zip.

What’s new

  • Version 1 · 2026-11-12

Compare with similar

Listed Hugging Face models in the same category that share the most tags with this one.

ProductDownloads, last 30 daysLikesParametersLicenseLast change
Chatterbox TTS This page2,440,9021,911—mit
AuKShares speech-generation · voice-cloning · speech1,455396—mit
Chatterbox-NanoShares speech-generation · voice-cloning · speech049—mit
Chatterbox-TurboShares speech-generation · voice-cloning · speech0709—mit
Maya 2 NativeShares multilingual-tts · voice-cloning · text-to-speech5,7741702.5Bapache-2.0
Ming-3.0-tts-0.5B by inclusionAIShares speech-generation · voice-cloning · text-to-speech14,7562251.5Bmit
Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13.

Reviews

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What people say

Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search and on Trendshift. Mindket doesn’t write or check them. Open one to read it where it was posted.

maxlohChatterbox, Resemble AI's production-grade open source TTS model6 points · 1 reply猫国防Chatterbox Resemble AI 开发的三款开源文本转语音模型 huggingface.co/ResembleAI/c...1 replyandrewfromxShow HN: Automate final cut pro's XML languageDid you know the final cut pro xml import export is very powerful? Have you ever opened one of those xml files? https://github.com/andrewarrow/cutlass/blob/main/reference/p... That's a simple plus sign drawn with fcpxml shape language. But there's more! Way more:…3 points · 2 repliesデイリーHuggingFaceトレンド今日のHuggingFaceトレンド ResembleAI/chatterbox-turbo このリポジトリは、Resemble AIが開発したオープンソースのテキスト読み上げ(TTS)モデル群「Chatterbox」に関するものです。 特に、効率的な「Chatterbox-Turbo」モデルが中心で、低遅延な音声エージェントやナレーション、クリエイティブな用途に適しています。RandomBKShow HN: Open-source Voice Cloning at 16x real-time: Porting Chatterbox to vLLMChatterbox TTS from ResembleAI (https://github.com/resemble-ai/chatterbox) is one of the most accessible and highest-quality Voice Cloning models available today. However, its implementation via HF Transformers left a lot of performance on the table. This is a pet project I've been building…3 pointsデイリーHuggingFaceトレンド今日のHuggingFaceトレンド ResembleAI/chatterbox-turbo このリポジトリは、Resemble AIが開発したオープンソースのテキスト読み上げ(TTS)モデル群「Chatterbox」に関するものです。 特に、効率的な「Chatterbox-Turbo」モデルが中心で、低遅延な音声エージェントやナレーション、クリエイティブな用途に適しています。TsarpShow HN: Cbx – Local TTS CLI Wrapping Chatterbox ONNX (Single Rust Binary)I built cbx: a single-binary CLI for local/offline text-to-speech. It wraps Resemble AI’s Chatterbox ONNX models behind a Rust CLI (ONNX Runtime under the hood). Goal: “I want good TTS in a shell script” without Python envs / pip / venv juggling. Quick start: cbx speak --text "Hello from cbx."…1 pointデイリーHuggingFaceトレンド今日のHuggingFaceトレンド ResembleAI/chatterbox-turbo このリポジトリは、Resemble AIが開発したオープンソースのテキスト読み上げ(TTS)モデル群「Chatterbox」に関するものです。 特に、効率的な「Chatterbox-Turbo」モデルが中心で、低遅延な音声エージェントやナレーション、クリエイティブな用途に適しています。samagra14Ask HN: What Inference Server do you use to host TTS Models?All the examples I have are highly unoptimized - For eg, Modal Labs uses FastAPI - https://modal.com/docs/examples/chatterbox_tts\ BentoML also uses FastAPI like service - https://www.bentoml.com/blog/deploying-a-text-to-speech-application-with-bentoml\ Even Chatterbox TTS has a very naive example…1 pointhuskyrTTS still sucksYup, ElevenLabs stills rules pretty much in this space. Especially if you're looking for non-English models it's really hard to find anything good although the latest Chatterbox[1] now supports 23 languages. [1]: https://github.com/resemble-ai/chatterboxgnulinuxShow HN: Kitten TTS – 25MB CPU-Only, Open-Source TTS ModelImho chatterbox is the current open weight SOTA model in terms of quality: https://huggingface.co/ResembleAI/chatterboxvivzkestrelOpen-source framework for real-time AI voicehow does it compare to chatterbox TTS? https://github.com/resemble-ai/chatterbox/

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