The XDA piece “I cloned my voice with 5 seconds of audio and no GPU, and I understand the panic now” is short, but the demo it walks through is the whole story. A stock consumer laptop, no CUDA, a six-second reference clip pulled from a phone recording, and a passable clone of the writer’s own voice reading a script that was never spoken aloud. The reason the panic is warranted is not that the output is perfect. It is that the barrier to a “good enough” clone has collapsed to five minutes of setup on hardware most people already own.
We looked at the best apps for voice cloning on desktop after that piece landed. Seven picks, tested on Windows, macOS, and Linux, covering the open-source options that keep the audio on the disk and the commercial platforms that ship a polished product today. Consent-based use (reading our own scripts in our own voice, giving a small studio faster turnaround on approved talent, prototyping an audiobook narrator with the narrator’s permission) is the frame. Impersonating someone without permission is the misuse case every app on this list at least gestures at, and the ones that self-host make consent your responsibility, not theirs.
What to look for in a voice cloning app
- Zero-shot vs fine-tuned. Zero-shot models generate a clone from a short sample (5 to 60 seconds). Fine-tuned models train a dedicated speaker embedding from a longer dataset. Zero-shot is faster to try, fine-tuned holds up better over long-form output.
- Local vs cloud. Local tools keep the reference audio and generated clips on the laptop. Cloud tools upload the sample and the transcript, which matters when the voice is a real person’s.
- Hardware honesty. Some models happily run on CPU (slow but workable). Others need a recent NVIDIA GPU to be usable at all. Read the tool’s real-world requirements before installing.
- Consent workflow. ElevenLabs makes you record an authorization clip. Open-source tools push that responsibility onto the user. Neither is wrong, but the compliance model is different.
- Language coverage and emotion control. Cloning the timbre is table stakes. Cross-lingual output, emotion tags, and paralinguistic sounds (laughs, sighs) are what separate a demo from a working narration.
- License. MIT-licensed weights are safe for commercial output. Non-commercial licenses (like Coqui’s CPML) are fine for research and personal work, but not for a paid audiobook.
Quick comparison
| App | Best for | License | Local / Cloud | Free tier | Paid |
|---|---|---|---|---|---|
| Applio | RVC-style singing and speech conversion | MIT | Local | Fully free | None |
| Coqui XTTS-v2 | 6-second zero-shot text-to-speech in 17 languages | CPML (non-commercial) | Local | Fully free | Commercial license by arrangement |
| OpenVoice V2 | Cross-lingual clones with emotion, accent, rhythm control | MIT | Local | Fully free | None |
| Chatterbox | MIT-licensed clone with emotion exaggeration and paralinguistic tags | MIT | Local | Fully free | Hosted API from Resemble |
| Fish Speech S2 Pro | 80-language coverage with tag-driven expression control | Apache 2.0 (weights) | Local | Fully free | Hosted plans from fish.audio |
| ElevenLabs | Polished commercial voice cloning at production quality | Proprietary | Cloud (web PWA) | Limited free (10,000 chars/mo) | Starter $5, Creator $22, Pro $99/mo |
| Bark | Expressive non-verbal audio, laughs, singing, sound effects | MIT | Local | Fully free | None |
The 7 best AI voice cloning apps for desktop
1. Applio, best overall for desktop RVC cloning
Applio is the RVC (Retrieval-based Voice Conversion) frontend that turned a fussy Python project into something a non-developer can install and use. The Windows, macOS, and Linux installers set up the Python environment for you, drop a Gradio web UI in the browser, and expose the training pipeline, the inference pipeline, and the TTS layer as separate tabs. It handles both voice conversion (feed it a source vocal, get it back in a trained target voice) and text-to-speech through hooked-in models like Edge TTS with the RVC voice layered on top.
Where it falls short: The maintainers announced in early 2026 that active feature development is on pause, with security patches and dependency bumps continuing. It is stable, not deprecated, but do not expect big new features. Model training still benefits from a modern NVIDIA GPU (inference is usable on CPU, training is not).
Pricing:
- Free: All features, no cap.
- Paid: None. The project is MIT-licensed.
Platforms: Windows, macOS, Linux.
Download: Applio on GitHub
Bottom line: The pick for a working desktop voice cloning setup with a real UI, especially for singing conversion and remixing existing vocal tracks.
2. Coqui XTTS-v2, best free zero-shot cloning
Coqui XTTS-v2 is the model the XDA piece is almost certainly describing when it talks about a six-second sample and a passable clone. Give it a short reference clip (six seconds is the documented minimum, ten or more works better) and a script in any of 17 supported languages, and it generates the clone. It runs on CPU (slowly), on a modern consumer GPU (in near real time), and inside dozens of wrappers (from a simple tts CLI to fully local Docker deployments).
Where it falls short: Coqui the company shut down in January 2024. The model weights and code are still fully available, and a community fork at idiap/coqui-ai-TTS keeps it building on current Python and PyTorch. The weights ship under the Coqui Public Model License, which is non-commercial. Personal use, research, and prototyping are fine. Selling audiobooks generated by XTTS-v2 requires a separate license arrangement.
Pricing:
- Free: Everything, for non-commercial use.
- Paid: Commercial use requires reaching out for a license.
Platforms: Windows, macOS, Linux (via Python).
Download: Coqui XTTS-v2 on GitHub | Active community fork | Model on Hugging Face
Bottom line: The pick for anyone testing zero-shot voice cloning on their own machine before committing to a paid stack.
3. OpenVoice V2, best for cross-lingual clones with tone control
OpenVoice V2 is the MIT and MyShell collaboration whose differentiator is the split between the tone converter and the base speaker model. You clone the tone from a short reference clip once, then generate speech in English, Spanish, French, Chinese, Japanese, or Korean without needing a new reference for each language. The parameters for accent, emotion, rhythm, pauses, and intonation are exposed as knobs rather than baked into the model, so the same clone can read a script warm and slow or brisk and clipped.
Where it falls short: Setup is Python-native. You clone the repo, create a conda environment, download the checkpoints, and launch the local Gradio app yourself. The install doc is clear, but this is not a one-click experience the way Applio is.
Pricing:
- Free: Full V2 weights under MIT license.
- Paid: None. The hosted MyShell platform is a separate product.
Platforms: Windows, macOS, Linux.
Download: OpenVoice on GitHub
Bottom line: The pick when the clone needs to speak multiple languages and the writer needs fine control over how it delivers the line.
4. Chatterbox, best MIT-licensed voice cloning with emotion control
Chatterbox is the state-of-the-art TTS project Resemble AI released under an MIT license, which means the weights are safe to ship inside a commercial product with no royalties, no revenue share, and no usage caps. Zero-shot cloning works from a few seconds of reference audio, and the emotion exaggeration parameter is the standout: a single dial takes the output from monotone to noticeably expressive without touching the base clone. Paralinguistic tags in the script ([sigh], [gasp], [cough], [laugh]) render in the cloned voice with the right emotional tone rather than as stock samples.
Where it falls short: The multilingual variant covers 23 languages and the turbo variant is fast, but Chatterbox is still a newer project than XTTS-v2 or RVC. Community tooling, ComfyUI nodes, and prebuilt UIs are catching up but not everywhere yet.
Pricing:
- Free: All weights, fully MIT.
- Paid: Optional hosted API from Resemble for teams that want managed infrastructure.
Platforms: Windows, macOS, Linux. Runs on NVIDIA (CUDA), AMD (ROCm), and CPU.
Download: Chatterbox on GitHub | Self-host server wrapper
Bottom line: The pick when the output has to ship in a commercial product without a license renegotiation.
5. Fish Speech S2 Pro, best multilingual coverage
Fish Speech S2 Pro is the fish.audio project’s open-weight model trained on around 10 million hours of audio across roughly 80 languages. Clone from a 10 to 30 second reference clip, then drive the delivery with inline tags. The tag vocabulary is unusually large (the docs cite around 15,000 supported tags, from “laughing” to “professional broadcast tone” to freeform descriptors). Fish ships both a Gradio web UI and a PyQt6 desktop interface that talks to a local API server, so the day-two experience is closer to a real application than a research demo.
Where it falls short: The install is developer-shaped. You clone the repo, install Python dependencies, and pull weights via a Hugging Face token. It is not hard, but “not hard” here still means the terminal.
Pricing:
- Free: Open weights, local install.
- Paid: Hosted plans on fish.audio if you would rather not run inference yourself.
Platforms: Windows, macOS, Linux.
Download: Fish Speech on GitHub
Bottom line: The pick when the script spans languages the smaller open models do not cover well.
6. ElevenLabs, best commercial voice cloning
ElevenLabs is the commercial standard almost every listicle points at first, and after testing it against the open-source stack, the reason is boring: the polish. Instant Voice Cloning generates a usable clone from about a minute of audio; Professional Voice Cloning uses 30 minutes or more and returns a voice that holds up across hour-long audiobooks. The platform ships text-to-speech, Studio (for long-form projects), Dubbing (localizes an existing video into another language while keeping the clone), and an API with 32-plus supported languages.
There is no native desktop app. Everything runs in a browser, and the recommended install for a “desktop” experience is to save the site as a Progressive Web App from Chrome or Edge. Before you can create a clone, ElevenLabs makes you record an authorization message reading a short script, which prevents the obvious abuse case.
Where it falls short: Cloud only. The reference audio and every generated clip lives on ElevenLabs servers. The character caps on lower tiers add up fast once you start narrating anything long. Pricing bumps have been common over the last two years.
Pricing:
- Free: 10,000 characters per month, personal use.
- Paid: Starter at $5/month (30,000 chars), Creator at $22/month (100,000 chars), Pro at $99/month (500,000 chars), and enterprise pricing above that.
Platforms: Web (works on Windows, macOS, Linux, Chromebook). Installable as a PWA.
Download: ElevenLabs
Bottom line: The pick when the goal is production-quality voice cloning with no infrastructure work and cloud storage of the audio is acceptable.
7. Bark, best for expressive non-verbal audio
Bark is Suno’s transformer-based generative audio model, and it belongs on this list for the thing the others struggle with: non-verbal sounds. Laughs, sighs, throat-clears, hummed melodies, sung phrases, and short passages of music emerge from the same model that generates the speech, driven by the same prompt. Bark does not do voice cloning as cleanly as XTTS or Chatterbox, but a healthy fork ecosystem (Bark-Voice-Clone, RVC-Bark hybrids) plugs cloning into the pipeline for people who want the expressiveness plus a specific target voice.
Where it falls short: Suno’s active development on Bark stalled after they pivoted to their music product. The community forks are what keeps it interesting. Straight zero-shot cloning is fiddlier than XTTS or Chatterbox, and the output is more variable per generation.
Pricing:
- Free: MIT-licensed model and weights.
- Paid: None.
Platforms: Windows, macOS, Linux (via Python).
Download: Bark on GitHub
Bottom line: The pick when the recording needs a laugh, a sung line, or a background hum in the cloned voice, not just clean read-aloud.
How to pick the right one
If the goal is one working desktop voice cloning tool with a real UI: Applio.
If the goal is testing zero-shot cloning from a six-second sample: Coqui XTTS-v2.
If the clone has to speak multiple languages from one reference: OpenVoice V2.
If the output has to ship inside a commercial product with a clean license: Chatterbox.
If the target languages are outside the usual English, Spanish, French, Chinese, Japanese, Korean set: Fish Speech S2 Pro.
If quality matters more than local control and cloud storage is fine: ElevenLabs.
If the recording needs laughs, sighs, hums, or sung phrases in the cloned voice: Bark.
If you tried ElevenLabs and want the same output quality without the subscription and without the cloud upload: Chatterbox first, then Coqui XTTS-v2, in that order.
A note on consent
Every app on this list can be used to impersonate someone without their permission. That is a felony in a growing list of jurisdictions (the US Federal Trade Commission’s “impersonation rule” and the EU AI Act’s transparency requirements both apply), and it is the misuse case the panic in the XDA piece is about.
The apps that ship on your own machine cannot enforce consent on you. The apps that run in the cloud (ElevenLabs, hosted Chatterbox, hosted Fish) require an authorization recording or accepted terms before creating a clone. Either way, the responsibility to only clone voices you have permission to clone lives with the person clicking Generate.
FAQ
What is the best free AI voice cloning app? For zero-shot text-to-speech from a short sample, Coqui XTTS-v2 and Chatterbox are the strongest free picks. For voice conversion on trained RVC models, Applio is the easiest to install. All three are free, run locally, and keep the reference audio on the disk.
Can I clone a voice with 5 seconds of audio? Yes. Coqui XTTS-v2’s documented minimum is six seconds, OpenVoice V2 and Chatterbox both work from clips in the same range, and ElevenLabs’ Instant Voice Cloning is happier with about a minute of clean audio but functions with less. Ten seconds of a quiet, mono recording gives noticeably better results than five seconds of a phone-call clip.
Do I need a GPU to run these locally? Coqui XTTS-v2 and Chatterbox run on CPU, slowly. OpenVoice V2 and Fish Speech S2 Pro also run on CPU with patience. Applio’s training pipeline realistically needs a modern NVIDIA GPU; its inference and TTS layers do not. Bark is the most GPU-hungry of the open picks and is slow on CPU.
Is voice cloning legal? Cloning your own voice or a voice you have documented consent to clone is legal in most jurisdictions. Cloning a real person without permission and using it to impersonate, defraud, or harass is not, and enforcement has stepped up in the US, EU, and UK over the last year. Check the specific rules where the clone is going to be published, especially for commercial use.
What is the best voice cloning app for singing? Applio, because RVC models were originally trained for vocal conversion. The community model libraries on huggingface and rvc-models.com include thousands of pre-trained singing voices. Bark can produce short sung phrases inside the same voice as the spoken lines, which is the trick the pure RVC pipeline does not do.
Can ElevenLabs clone a voice from a small sample? Yes, but the two products behave differently. Instant Voice Cloning takes about a minute of audio and generates a clone in under a minute. Professional Voice Cloning takes 30 minutes or more of clean, consistent audio and returns a voice that stays coherent across long-form output like audiobooks. The paid tiers include a fixed number of custom voices per month.
Which open source voice cloning tool is safe for commercial use? Chatterbox is MIT-licensed, so its weights and code are usable in a commercial product with no royalties. Bark is also MIT. Coqui XTTS-v2’s model weights are non-commercial (CPML). Fish Speech S2 Pro’s weights ship under Apache 2.0. OpenVoice V2 is MIT. When in doubt, read the license file that ships with the weights, not the license on the codebase.
