A Free AI That Clones Your Voice in 10 Seconds Is Here — Chatterbox Hits 23,000 GitHub Stars
Open-source voice AI Chatterbox beat ElevenLabs 65% to 24% in a blind listening test. It supports 23 languages including Korean, is free under the MIT license, and can clone any voice with just 10 seconds of audio.
You no longer need a paid AI voice service like ElevenLabs — you can now clone your own voice for free. Chatterbox, an open-source project by Resemble AI, has hit 23,549 GitHub stars (a measure of how popular a project is on the world's largest code-sharing platform) and topped the trending charts today. It supports 23 languages including English, Korean, and more, and is completely free under the MIT license (a license that lets anyone use, modify, and distribute the software at no cost).
It Beat ElevenLabs in a Blind Test
The most striking thing here is the performance. In a blind test (the Podonos CSMOS evaluation) where 50 human raters compared AI-generated voices without knowing which system made them, Chatterbox Turbo outperformed every leading paid service.
Blind Preference Test Results (50 raters, 50 voice samples each)
• vs ElevenLabs Turbo v2.5 → Chatterbox 65.3% : ElevenLabs 24.5%
• vs Cartesia Sonic 3 → Chatterbox 49.8% : Cartesia 39.8%
• vs VibeVoice 7B → Chatterbox 59.1% : VibeVoice 31.6%
The gap against ElevenLabs is especially striking — raters preferred Chatterbox by a margin of more than 2.6x. A free, open-source tool just beat a service that charges tens of dollars a month on raw quality.
Three Models, Each Built for a Different Job
Chatterbox isn't a single model — it's a suite of three, each optimized for a specific use case.
1. Chatterbox-Turbo (350 million parameters)
English only. Built for speed. It compresses the voice generation pipeline from 10 steps down to 1, enabling real-time conversation. Ideal for giving voice to AI chatbots or customer support systems. You can embed tags like [laugh], [cough], or [chuckle] directly in your script to get natural-sounding laughter, coughing, or giggling in the output.
2. Chatterbox-Multilingual (500 million parameters)
Supports 23 languages including Korean, Arabic, Chinese, Japanese, French, German, and Spanish. Provide a 10-second voice sample and it can clone that voice and make it speak in any of the supported languages.
3. Chatterbox Original (500 million parameters)
English only. Gives you fine-grained control over emotional intensity (exaggeration) and how closely the output matches the reference voice (CFG weight — a parameter that controls fidelity to the original). Best suited for expressive content like audiobooks or podcasts.
10 Seconds of Audio Is All It Takes to Clone a Voice
Chatterbox's voice cloning uses a zero-shot approach — meaning no separate training or fine-tuning is needed. Provide a single audio clip of around 10 seconds, and the AI learns the voice characteristics and uses them to read any text you give it.
For example, a YouTuber can record 10 seconds of their own voice — and from then on, just paste in a script to automatically generate narration in their voice. Scripts in Korean and 22 other languages are supported too.
Every AI-Generated Voice Gets a Built-In Digital Watermark
All audio generated by Chatterbox is automatically embedded with a PerTh (Perceptual Threshold) watermark — an inaudible signal that humans can't hear, but that AI detection tools can identify with near-100% accuracy. The watermark survives MP3 conversion and audio editing.
As deepfake concerns continue to grow, it's genuinely encouraging to see a free tool ship responsible AI use as a built-in default, not an optional add-on.
Try It Yourself
If you have Python installed, you can get started immediately. You'll need an NVIDIA GPU — the Turbo model runs comfortably on about 4–6GB of VRAM (your GPU's dedicated memory). With memory optimization enabled, it can run on as little as 1.5GB, and on an RTX 4090 the first audio output is ready in roughly 0.5 seconds.
# Install
pip install chatterbox-tts
# Python code — generate audio with the Turbo model
import torchaudio as ta
from chatterbox.tts_turbo import ChatterboxTurboTTS
model = ChatterboxTurboTTS.from_pretrained(device="cuda")
# Insert natural laughter with the [laugh] tag
text = "Hey there [laugh], what a beautiful day it is!"
wav = model.generate(text, audio_prompt_path="my_voice_10sec.wav")
ta.save("output.wav", wav, model.sr)
# Multilingual voice — using the Multilingual model
from chatterbox.mtl_tts import ChatterboxMultilingualTTS
model = ChatterboxMultilingualTTS.from_pretrained(device="cuda")
text = "Hello, let me walk you through today's schedule."
wav = model.generate(text, language_id="en")
ta.save("multilingual_output.wav", wav, model.sr)
If you'd rather try it without any coding, you can test it right in your browser via the HuggingFace Turbo demo or the Multilingual demo.
Who Should Use This?
Content creators can automate narration in their own voice. Developers can add natural-sounding voices to AI chatbots or customer service systems at zero cost. Educators can auto-dub their course content into 23 languages.
If you're currently paying $5–$99/month for ElevenLabs, this is worth serious attention — you may be able to get equal or better quality for completely free. That said, if you don't have a GPU available, the free HuggingFace demos are a great starting point, or you can explore Resemble AI's paid cloud service (with ultra-low latency under 200ms) for production deployments.
What's Next
The AI voice synthesis market is fiercely competitive, with giants like ElevenLabs, OpenAI, and Google all vying for position. Chatterbox is a compelling proof point for the power of open source in this space — backed by over 2 million downloads, 3,000+ forks (independent copies of the project others have built upon), and an active Discord community.
As AI voice technology becomes freely available, we're entering an era where individual creators and small teams can produce enterprise-quality voice content — without the enterprise price tag.
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