VoiceStudio: Free Voice Cloning on Your Laptop, No Cloud, No Subscription

Voice cloning used to mean uploading your voice to someone else's server, handing over a payment card, and hoping the terms of service never changed underneath you. VoiceStudio flips that arrangement around: it is a free, open-source desktop app that clones voices, dubs videos and transcribes speech on your own computer, and it asks for no account, no API key and no subscription. The trade-off is real, and it sits in the licence, not the feature list.

Quick answer

VoiceStudio is a free, open-source voice studio for macOS, Windows and Linux that runs voice cloning, voice design, video dubbing, dictation and transcription locally. It passed 91,000 GitHub stars in October 2026 and needs no account or cloud service to work. Its default voice model, OmniVoice, is licensed for non-commercial use only, so commercial projects need a different engine or a commercial licence.

What VoiceStudio actually is

VoiceStudio is an Electron desktop app with a Python backend, built by Palash Debnath. It started life under the name OmniVoice Studio and was created, in the author's own words, because the voice tools people actually wanted to use had become rentals: "your voice goes to someone's cloud, comes back priced per second, under terms that can change any quarter." The app is the answer to that complaint — a studio you install once and own.

The repository tells the same story in numbers. VoiceStudio was created on GitHub on April 9, 2026, and by October 28 it had passed 91,627 stars and 10,132 forks, with its most recent code push landing that same day. On GitHub's monthly trending page for October 10, 2026, it gained 34,560 stars in 30 days — more than any other repository that month.

The app ships with one default engine, k2-fsa/OmniVoice, and a model manager that installs dozens of others from Hugging Face. One independent rundown counts 16 text-to-speech engines and 11 speech-to-text engines in the catalogue, including CosyVoice, GPT-SoVITS, MLX-Audio and WhisperX. You pick an engine per job, and the app downloads the weights to your machine before it generates anything.

What you can do with it

Voice cloning

Give the app a short, clean reference recording and a text, and it reads the text in that voice. The cloning workspace trims silence from reference passages automatically, so clones no longer start or end mid-pause. The README carries one instruction in plain language: clone a voice only with its owner's permission. With a tool this accessible, consent is the only thing standing between a useful feature and an impersonation problem.

Voice design

If you do not have a reference voice, describe one instead — tags for gender, age, pitch or accent — and the app builds a new voice. A voice you invented has no owner to ask, which makes this the safer route for commercial work.

Video dubbing

Dubbing turns the speech in a video into timed speech in another language, with multi-speaker support and a timing control that caps how fast or slow the dub may run to fit a line. The headline language count — 646 languages — comes from OmniVoice's language list, built on 581,000 hours of training audio. That number deserves a caveat: OmniVoice's own README says voice design "is trained on Chinese and English data only" and may give unstable results in some low-resource languages. A long language list is not a promise of even quality.

Dictation and transcription

A floating widget lets you dictate instead of typing, and WhisperX is the default speech-to-text engine. Once the models are downloaded, transcription costs nothing per minute and sends nothing anywhere.

Audiobooks and batch work

Stories, audiobooks and batch jobs run through reusable recipes and watch folders — drop files in a folder and the app processes them. Under the hood it also works as a local service, exposing an OpenAI-compatible audio API and an MCP server, so scripts and coding agents can call it without sending audio to a cloud.

How to install it

Installation, from voicestudio.sh, is one command. On macOS or Linux:

curl -fsSL https://voicestudio.sh/install | sh

On Windows, in PowerShell:

irm https://voicestudio.sh/install.ps1 | iex

Installers are also on the GitHub releases page, with a Docker image in the GitHub container registry. Desktop support is stable on macOS, Windows and Linux; Android and iOS apps are still in preview. No GPU is required — the app runs fully on CPU, just slower.

The licence catch: read this before you use it for work

Two licences are in play, and they cover different things.

The app itself is licensed under AGPL-3.0, which the README says covers the app "including commercial use under its terms." But the README adds, in the same section, that "model weights, voices and generated output have their own licences, which the Model Manager shows for each model."

The default voice model is where that distinction bites. OmniVoice's own model card states it plainly: "Our code is released under the Apache 2.0 License. The pre-trained model is licensed under the CC-BY-NC due to constraints from its training data (e.g., Emilia)." CC-BY-NC means non-commercial use only. So the app is free, the default voice is free for personal use, and the combination is not free for ads, product videos or client work.

That leaves three routes for commercial use. First, switch to a different engine inside the app whose weights carry a commercial licence — the Model Manager shows each model's licence before you install it. Second, design a voice instead of cloning a real one, and check that engine's terms. Third, buy a commercial licence: the project sells Pro and Lifetime editions as a separate, closed build, and a hosted cloud version remains on a waitlist. No public price is published for the Pro edition, so anyone budgeting for it should treat the cost as unknown until the project publishes one.

The same logic applies to the AGPL-3.0 licence itself. If you run VoiceStudio as a network service for other people, the AGPL's share-alike terms apply to the app code; personal desktop use is not affected. None of this makes the tool a trap — it makes it a tool with paperwork. The mistake would be assuming "open source" and "free for my business" are the same sentence.

VoiceStudio vs ElevenLabs

Prices below were read from ElevenLabs' official pricing page on October 28, 2026.

The comparison is not a knockout in either direction. ElevenLabs is the choice when you need a commercial licence with no ambiguity, a hosted API, and support — and its free tier is genuinely usable at 10,000 credits a month. VoiceStudio is the choice when the audio must never leave your machine, or when per-character billing would make a long project unaffordable.

Who should use it — and who should not

VoiceStudio fits a YouTuber dubbing their own videos into a second language, a podcaster transcribing hours of audio without a per-minute bill, an audiobook hobbyist, or a developer who wants a local speech API for an agent. It also fits anyone whose voice is the product and who would rather not upload it to a server — the same instinct behind the local-first tools in our roundup of AI agents you can text, where privacy was the deciding factor for several picks.

It does not fit a studio that needs a clean commercial licence today with a published price, a team that wants vendor support, or anyone who needs guaranteed quality in a low-resource language. It also does not fit anyone who wants to clone a celebrity or a colleague without asking: the tool makes that technically easy and the README says plainly not to do it.

Pros and cons

Pros

• Completely free for personal use, with no account, API key or subscription anywhere in the flow.
• Runs fully locally — your voice recordings and transcripts never leave your machine unless you choose otherwise.
• Five tools in one app: cloning, voice design, dubbing, dictation, transcription and audiobooks.
• Swappable engines, a local API and MCP support, so it works as infrastructure rather than only as an app.
• Actively maintained: the repository was updated on the day of writing, with 10,132 forks behind the star count.

Cons

• The default OmniVoice model is CC-BY-NC — non-commercial only — so paid work needs another engine or a commercial licence.
• No published price for the Pro or Lifetime editions, and the hosted cloud is still waitlisted.
• Language quality varies sharply: voice design is trained on Chinese and English data only, per OmniVoice's own README.
• CPU-only machines work but slowly, and mobile apps are still in preview.
• AGPL-3.0 terms apply if you run it as a network service for others.

FAQ

Is VoiceStudio really free?

The app is free and open source under AGPL-3.0, with no paid cloud behind it. The catch is the default voice model's licence: OmniVoice weights are CC-BY-NC, so commercial use needs a different engine or a commercial licence.

Can I use VoiceStudio voices in YouTube videos or client work?

Not with the default OmniVoice engine — its CC-BY-NC licence covers non-commercial use only. Switch to an engine with a commercial licence, design a voice instead of cloning one, or buy the project's Pro edition. Check the licence the Model Manager shows for the exact engine you use.

Does VoiceStudio send my voice to the cloud?

No. Processing runs on your own machine by default, and the app only reaches the network for updates and model downloads.

How many languages does VoiceStudio support?

The project claims 646 languages through OmniVoice, built on 581,000 hours of training audio. Quality is uneven: OmniVoice's own README warns that voice design is trained on Chinese and English data only and may be unstable in some low-resource languages, so test your target language first.

Do I need a GPU to run VoiceStudio?

No. The app runs on CPU, just slower. A GPU — NVIDIA CUDA on Windows and Linux, or Metal on Apple Silicon — speeds things up, but a modern laptop without one can still clone, transcribe and dub.

Key takeaways

• VoiceStudio is a free, open-source voice studio that clones voices, dubs videos and transcribes speech entirely on your own computer, with no account or subscription.
• It passed 91,627 GitHub stars by October 28, 2026, after gaining 34,560 stars in 30 days on GitHub's October 10 trending page.
• The app is AGPL-3.0, but its default OmniVoice model is CC-BY-NC, so commercial work needs a different engine or a commercial licence.
• Installation is one command on macOS, Linux or Windows, and it runs on CPU alone — a GPU only makes it faster.
• Against ElevenLabs, VoiceStudio wins on privacy and per-project cost and loses on commercial licensing clarity and hosted support.

VoiceStudio's surge makes sense once you see what people are actually buying with their stars: not a feature, but an exit from per-second billing and uploaded voices. The licence catch does not undo that — it just draws the line between personal use, where the tool is genuinely free, and commercial use, where you need to read the model card first.