---
title: "OpenVoice vs App-Based Voice Cloning: Which to Use"
description: "OpenVoice is a free MIT voice cloning model you run in Python. Compare it with app based cloning on a Mac: setup, licenses, languages, and real workflow."
canonical: "https://www.murmurtts.com/blog/openvoice-vs-local-cloning-apps"
---
[Murmur](https://www.murmurtts.com/)/[Blog](https://www.murmurtts.com/blog)/Comparison

Comparison

# OpenVoice vs App-Based Voice Cloning on Mac

OpenVoice is a free MIT voice cloning model you run in Python. Compare it with app based cloning on a Mac: setup, licenses, languages, and real workflow.

![](https://www.murmurtts.com/murmur-icon.webp)Murmur·October 22, 2026·11 min read[Download free (3-day Pro trial)](https://murmur-updates.tarunyadav9761.workers.dev/download/latest)[Buy $49](https://murmur-licenses.tarunyadav9761.workers.dev/checkout)

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On this page

What OpenVoice actually isWhat app based cloning actually isThe setup step that decides it for most peopleWhere OpenVoice is the stronger choiceWhere an app based cloner is the stronger choiceWhat OpenVoice does not give youLicensing and privacy are two different questionsWhen Murmur is not the right choiceA decision checklistFrequently asked questions

[Back to the journal](https://www.murmurtts.com/blog)

**Direct answer:** OpenVoice is an open source voice cloning model from MIT and MyShell that you run yourself, usually inside Python. It is released under the MIT license, which the project states makes it free for commercial use, but using it means installing Python 3.9, PyTorch, the model checkpoints, and a separate text to speech package before you can clone anything. App based cloning hides all of that behind a finished application with a voice library, a script editor, and an export button. Choose OpenVoice when you want a free cloning model to embed, study, or modify; choose an app when your goal is finished audio rather than a toolchain.

**Disclosure:** we make Murmur, a one-time Mac app that runs voice generation and cloning locally. Murmur does not ship OpenVoice, and this page is not a quality benchmark of either system. Every claim about OpenVoice below comes from the project's own repository and documentation, linked in the sources at the end. Every claim about Murmur is limited to what the app actually supports, and a section near the end says plainly when a different tool is the better pick.

## What OpenVoice actually is

OpenVoice is a voice cloning method released by researchers at MIT and MyShell, and it is open source. The project describes it as instant voice cloning: you give it a short audio clip of a reference speaker, and it reproduces that speaker's tone color while letting you control style, including emotion, accent, rhythm, pauses, and intonation. The input clip can be in any language, and the model can then speak the cloned voice in multiple languages. The published paper reports that OpenVoice was used by more than two million users worldwide as the voice engine behind MyShell, and the repository has grown to a large, active open source project.

There are two generations. OpenVoice V1 shipped in late 2023. OpenVoice V2 arrived in April 2024 and, according to the project, adds better audio quality and native support for English, Spanish, French, Chinese, Japanese, and Korean. Both versions are released under the MIT license, which the project states makes them free for commercial and research use. In plain terms, the license is no longer the obstacle it once was; execution is.

What you install is code and checkpoints, not an application. The official usage guide is written for Linux and assumes you are comfortable with Python and PyTorch. A reader who only wants to hear it can try the hosted MyShell widgets or the Hugging Face Space, but those are cloud services, and the whole reason to self-host OpenVoice is to keep the work on your own machine.

## What app based cloning actually is

An app based cloner is a finished product that treats cloning as one feature among several. You install or open the app, create a voice from a sample, type or paste a script, adjust pacing or style, and export a finished audio file. A local Mac app does that on your own hardware; a cloud app does it in a browser and typically meters your usage. Either way, the model is hidden. You do not manage Python environments, model repositories, or checkpoint files.

That packaging is not a small convenience, it is the product. A voice library remembers which sample produced which voice, a script view lets you fix a mispronounced name without touching code, and an export step writes a WAV or M4A you can hand to an editor. If you produce narration, ads, or course audio, you spend your time on words and takes, not on a terminal.

| Factor | OpenVoice (self-hosted model) | App based cloning |
| --- | --- | --- |
| What you get | Source code and model checkpoints | A finished app with a user interface |
| Install | Python 3.9, PyTorch, checkpoints, and a separate TTS package | Installer plus a one-time model download |
| Interface | Notebooks, a Gradio demo, or your own code | Voice library, script editor, export |
| Official platform | Linux, for developers and researchers | A Mac app (Murmur) or a cloud browser tool |
| Cost | Free under the MIT license, plus your own compute | One-time purchase or a subscription, depending on the product |
| Native languages | Six in V2 (English, Spanish, French, Chinese, Japanese, Korean) | Varies by app and model; check the app's own list |
| Best for | Developers embedding a free model in a pipeline | Creators who want finished audio |

## The setup step that decides it for most people

Before comparing anything else, read the actual install instructions, because this is where the two paths separate. The OpenVoice usage guide gives these steps for a Linux machine:

1. Create a Python 3.9 environment, for example with conda create -n openvoice python=3.9, and activate it.
2. Clone the OpenVoice repository and run pip install -e . inside it.
3. Download the V2 checkpoint archive and extract it into a checkpoints_v2 folder.
4. Install MeloTTS with pip install git+https://github.com/myshell-ai/MeloTTS.git and run python -m unidic download.
5. Open demo_part3.ipynb to run OpenVoice V2, or launch the local Gradio demo with python -m openvoice_app --share.

That is a realistic afternoon for a developer and a wall for a narrator. There are community guides for Windows and Docker, but they are unofficial, and on a Mac you are assembling the environment yourself. An app based cloner reduces the same job to: install the app, let it download a model, create a voice from a short clean sample, paste the script, and export. If the second list describes what you want, the model question is already settled.

If you want the app route without the Python environment, the [no Python local TTS guide](https://www.murmurtts.com/blog/no-python-local-tts-mac) walks through the options on a Mac. The point of that guide is the same as this one: the interesting decision is not which model scores highest in a demo, it is how much toolchain you are willing to own.

## Where OpenVoice is the stronger choice

OpenVoice is genuinely the better tool in several situations, and it is worth saying so plainly.

- You are a developer and you want a free, MIT-licensed cloning model to embed in your own product or research pipeline.
- You want to read and modify the code, or study the approach, rather than accept a black box.
- You need no per-character or per-minute meter, and you are willing to pay for that with setup and maintenance time.
- You work in one of the six natively supported V2 languages and want cross-lingual cloning from a short clip.
- You are comfortable on Linux, or willing to follow a community guide, and you already have Python and PyTorch experience.

The MIT license is the headline. The project's own pages state that both V1 and V2 are free for commercial and research use. For a developer who otherwise pays per character for a hosted API, that is a real difference, and the paper argues the approach is computationally cheap relative to commercial APIs.

## Where an app based cloner is the stronger choice

For a creator, the reverse is usually true. The value of an app is not only the model, it is everything around the model: a voice library that keeps samples and voices organized, a script editor, multi-speaker projects, and a clean export. That is the work an app removes, and it is the bulk of the work.

Murmur is a local voice studio for Apple Silicon Macs running macOS 15 or later, sold for $49 once with a free plan and a 3-day Pro trial, and a 7-day refund policy. It runs its models on your machine, so there is no per-character fee and no cloud upload of your script or your sample. It ships Kokoro as a bundled model and can install others, including Chatterbox Turbo, Chatterbox Multilingual, Qwen3-TTS Base, Voice Design, SparkTTS, Fish Audio S2 Pro, Breeze TTS 2, and OmniVoice, several of which support reference cloning from a short sample. The app is built around a voice library, multi-speaker projects, and WAV or M4A export. The more capable models need at least 16 GB of unified memory, and the in-app model list is the source of truth for what is available on your machine.

The honest framing: Murmur does not run OpenVoice. If your requirement is specifically OpenVoice, an app is not a substitute. If your requirement is a cloned voice and finished audio on a Mac, an app is the shorter path. The [best local AI voice cloning apps for Mac](https://www.murmurtts.com/blog/best-local-ai-voice-cloning-apps-mac) roundup covers that side of the market in more detail.

## What OpenVoice does not give you

Self-hosting a model means owning everything the product would have handled. With OpenVoice, that includes environments, dependency conflicts, checkpoint files, and the ongoing question of whether an update broke the install. It also means there is no support contract, no voice library, and no export workflow unless you build one. The repository carries hundreds of open issues, which is normal for popular open source code and also a reminder that, when something breaks, you are the support team.

There is also the platform question. The official install target is Linux for developers and researchers; Mac and Windows users rely on community guides or container setups. If you are on a Mac and do not want to maintain a Python stack, that gap is the practical reason to choose an app instead.

## Licensing and privacy are two different questions

Model licensing and data handling get confused often, so keep them apart. OpenVoice's MIT license governs what you may do with the code and weights; on the project's own terms, that includes commercial use. It says nothing about whether you have permission to clone a particular person's voice. That is a consent question, and it applies equally to OpenVoice, to a local Mac app, and to a cloud service.

Privacy is the second question, and it is about where the audio goes. Self-hosted OpenVoice and Murmur both keep the work on your machine. The hosted MyShell widgets and the Hugging Face Space are cloud services, and when you use those, your reference audio leaves your computer. That distinction matters for unpublished manuscripts, client scripts, and private voices, and it is covered in more depth in the [private voice cloning guide](https://www.murmurtts.com/blog/private-voice-cloning-guide).

## When Murmur is not the right choice

Murmur is Mac only. It is not available on Windows, on iPhone or Android, or as a browser tool, and it has no hosted API. It does not do real-time or live streaming speech, and it does not do speech to text. If you need any of those, a cloud platform, a server library, or a different tool is the correct answer. The same is true if you specifically want to study or modify an open model like OpenVoice, because an app will not let you do that. The [local voice studio versus DIY open source comparison](https://www.murmurtts.com/blog/local-voice-studio-vs-diy-open-source) takes that trade apart in more detail.

## A decision checklist

1. Write down the real requirement. If it is a free cloning model to embed or study, OpenVoice is a strong fit. If it is finished audio, it is not.
2. Check your platform. OpenVoice's official installer targets Linux for developers and researchers; a Mac app targets macOS.
3. Decide who maintains the toolchain. If Python environments and checkpoints are not your job, an app removes that job.
4. Confirm the languages you publish in. OpenVoice V2 natively supports six; an app's coverage depends on the models it installs.
5. Separate license from consent. MIT covers the OpenVoice code; permission to clone a voice is a different matter.
6. Check where the audio goes. Self-hosting and a local app keep it on your machine; hosted widgets do not.
7. Pick the tool that makes the second project cheap, not just the first one.

## Frequently asked questions

## Sources

- [OpenVoice repository README (MIT license, V1 and V2, native languages, contributors)](https://github.com/myshell-ai/OpenVoice)Accessed 2026-10-14
- [OpenVoice usage guide (Linux install, checkpoints, MeloTTS, Gradio demo, community Windows and Docker guides)](https://github.com/myshell-ai/OpenVoice/blob/main/docs/USAGE.md)Accessed 2026-10-14
- [MyShell OpenVoice documentation (V2 release notes, MIT license, project history)](https://docs.myshell.ai/technology/openvoice)Accessed 2026-10-14
- [OpenVoice: Versatile Instant Voice Cloning (arXiv paper abstract, style control and cross-lingual cloning)](https://arxiv.org/abs/2312.01479)Accessed 2026-10-14

## Produce cloned narration without a Python stack

Murmur is a $49 one-time voice studio for Apple Silicon Macs running macOS 15 or later. It runs locally, with a voice library, multi-speaker projects, voice cloning from a short sample, Voice Design, and WAV or M4A export. There is a free plan and a 3-day Pro trial and a 7-day refund policy. Listen to the public samples before you buy.

[Download free (3-day Pro trial)](https://murmur-updates.tarunyadav9761.workers.dev/download/latest)[Buy Murmur · $49](https://murmur-licenses.tarunyadav9761.workers.dev/checkout)

macOS 15+ · Apple Silicon required · 7-day refund policy

Made for your Mac

## Less reading. More making.

[Download free (3-day Pro trial)](https://murmur-updates.tarunyadav9761.workers.dev/download/latest)[Buy $49](https://murmur-licenses.tarunyadav9761.workers.dev/checkout)[Explore Murmur](https://www.murmurtts.com/#product)