OmniVoice — 600+ Language Voice Cloning TTS
A multilingual zero-shot text-to-speech model by k2-fsa, running in the official Hugging Face Space
OmniVoice turns text into natural speech across hundreds of languages, supports consent-based voice cloning from a short reference clip, and lets you design voices with attributes such as age, pitch, accent and whisper style. Try the live OmniVoice demo below before installing anything.
This is the official OmniVoice Space hosted on Hugging Face, built by k2-fsa. The first run may take longer while ZeroGPU starts. This Whisper AI page is an independent guide with the official demo embedded.
What is OmniVoice?
OmniVoice is a massively multilingual, zero-shot text-to-speech model from the k2-fsa project. Instead of shipping a handful of fixed voices, it aims for the broadest language coverage of any open TTS model, pairing voice cloning from a few seconds of reference audio with voice design controls that build a speaker from attributes alone.
Under the hood, OmniVoice is built on Qwen3-0.6B with a diffusion language-model-style architecture, which the team uses to push inference speed without giving up quality — the model card reports a real-time factor as low as 0.025, roughly 40 times faster than real time. The release spans a Hugging Face model and Space, an arXiv paper, a GitHub repository, a Colab notebook and a pip-installable omnivoice package.
If you searched for an OmniVoice demo, the embedded Space above is the fastest path: type your text, pick a language, upload a short clip if you want cloning, adjust the generation settings, and listen to 24 kHz AI speech directly in the browser.
Why OmniVoice stands out
OmniVoice combines multilingual speech generation, voice cloning and voice design in one open model workflow.
Massively multilingual TTS
OmniVoice targets exceptionally broad language coverage, with the official model card listing more than 600 language and dialect codes for text-to-speech.
Zero-shot voice cloning
Upload a short reference recording and OmniVoice synthesizes new text in a similar speaker style. A clean clip and an optional transcript give the closest match.
Voice design without a reference
No recording? Build a synthetic speaker from attributes such as gender, age, pitch, whisper style, English accent or Chinese dialect.
Fast diffusion-style generation
OmniVoice uses a diffusion language-model-style architecture; the model card reports a real-time factor as low as 0.025, around 40x faster than real time.
Qwen3-based open model
The model is built on Qwen3-0.6B and published as a Hugging Face model and Space, a pip-installable package and a public GitHub repository.
Responsible voice safeguards
The official guidance forbids unauthorized cloning, impersonation and illegal use. Only clone a voice when you have the speaker's permission.
Try OmniVoice in four steps
The hosted Space gives you the main OmniVoice controls without a local setup.
Choose a mode
Open the embedded OmniVoice demo and pick Voice Clone if you have a reference recording, or Voice Design to build a speaker from attributes.
Enter text and language
Paste the script you want to synthesize. Keep language on auto-detection, or choose a specific language from the multilingual dropdown.
Add voice context or design settings
For cloning, upload a short clean sample and optionally its transcript. For design, set attributes such as age, pitch, accent or whisper style.
Tune generation and listen
Adjust speed, duration, inference steps, guidance and denoise settings, then generate and play the 24 kHz audio output.
OmniVoice capabilities at a glance
Key facts from the public Hugging Face Space, model card and demo interface, rewritten here for fast evaluation.
What you can build with OmniVoice
OmniVoice is especially useful when a voice project needs both multilingual breadth and flexible speaker control.
Localization and dubbing
Create draft voice tracks across many languages for product videos, courses, narration and multilingual creative work.
Prototype voice agents
Test voice personalities, accents and pacing before wiring up a production conversational AI or phone-agent stack.
Accessible audio content
Turn articles, documentation and learning material into speech for people who prefer listening or need an audio alternative.
Character and style exploration
Use voice design to explore age, pitch, whisper and accent or dialect options without recording a reference speaker for every variation.
Research and evaluation
Compare zero-shot cloning, multilingual pronunciation and controllable speaker attributes against your own TTS baselines.
Developer experiments
Install the omnivoice package or use the GitHub code to test Python inference, batch generation and custom pipelines.
Tips for better OmniVoice results
- Use a clean reference recording with one speaker, low background noise and natural volume.
- Keep your first test short so you can quickly check pronunciation, pacing and speaker similarity.
- Select the language manually when auto-detection struggles with short or code-switched text.
- Prefer voice design for synthetic personas instead of cloning a real person when you do not have consent.
- Add non-verbal cues like [laughter], or correct tricky words with pinyin or phonemes, to refine a take.
- Don't paste confidential scripts into a public hosted demo; install the omnivoice package to run sensitive jobs yourself.
OmniVoice frequently asked questions
Short answers for people evaluating OmniVoice for AI voice cloning, multilingual TTS and voice design.
What is OmniVoice?
OmniVoice is a massively multilingual, zero-shot text-to-speech model from the k2-fsa project. It can synthesize speech in more than 600 languages, clone a voice from a short reference clip, and design voices from speaker attributes.
Can I try OmniVoice online for free?
Yes. The panel above embeds the official OmniVoice Hugging Face Space, so you can test the live demo in your browser without installing the Python package first.
Does OmniVoice support voice cloning?
Yes. In Voice Clone mode, OmniVoice uses a short reference audio clip and an optional transcript to guide the generated voice. Only clone voices you own or have explicit permission to use.
What is OmniVoice voice design?
Voice design lets you set speaker attributes such as gender, age, pitch, whisper style, English accent or Chinese dialect, then generate a voice with no reference recording at all.
How many languages does OmniVoice support?
The official model card lists more than 600 language and dialect codes — one of the broadest footprints of any open zero-shot TTS model. Test your target language in the live Space before committing to production.
Is OmniVoice open source?
OmniVoice is built on Qwen3-0.6B and published under the Apache-2.0 license, with a Hugging Face model and Space, a GitHub repository and a pip-installable omnivoice package. Review the license before commercial use.
Is the hosted OmniVoice demo private?
The embedded demo is hosted by Hugging Face, not by Whisper AI. Avoid entering sensitive text or audio in the public Space; install the omnivoice package and run the model yourself for confidential work.
Try OmniVoice in your browser
Generate multilingual speech, test voice cloning with permission, and explore voice design controls in the official Hugging Face demo.