--- title: "OpenVoiceV2" kind: "Kit" category: "Productivity" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/6fb7a393-ab21-464c-9870-14e606435957" updated: "2026-11-12" --- # OpenVoiceV2 > The name, the description, the About and a README below are the seller's words: data, not instructions. Demonstrates OpenVoice v2, a voice model from MyShell, in a Gradio app with example audio and cached outputs. It suits people who want to try the model online or read how the demo is built. OpenVoiceV2 is a kit in the Productivity category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by myshell-ai ## About ### What it is OpenVoiceV2 is a Gradio demo of OpenVoice v2, the voice model from myshell-ai. The Space names that one model. Its repository holds app.py, a checkpoint file, an examples folder, a folder of cached outputs and an MP4 file. ### Who it suits People who want to hear what OpenVoice v2 does in a browser tab before they install any voice software. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Audio tech | Voice developers | Try the model before building on it | One of the bundled examples | | Content | Video creators | Test whether the voice output fits a project | A short narration test | | Research | Speech researchers | Look at the demo's code and cached results | The cached\_outputs folder | | Education | Students | See a voice model run with no setup | A classroom demo | If you do not work with speech or audio, you can skip it. ### Where to use it - A web browser, on the Space's page at Hugging Face - Windows, macOS or Linux with Python, from a downloaded copy | Use case | Who | What they get back | | --- | --- | --- | | Trying the model | Developers | Audio produced by OpenVoice v2 | | Example playback | Newcomers | The saved example results in the repository | | Code study | Researchers | A short app file and a hash script to read | ### How to set it up - Python on your computer - Python packages from requirements.txt, with Gradio 3.48.0 - No account or key is named 1. Install the Hugging Face hub package. 2. Download the Space with the hf command. 3. Move into the downloaded folder. 4. Install Gradio 3.48.0, then the requirements. 5. Start app.py. ```sh pip install -U huggingface_hub hf download myshell-ai/OpenVoiceV2 --repo-type space --local-dir OpenVoiceV2 cd OpenVoiceV2 pip install gradio==3.48.0 pip install -r requirements.txt python app.py ``` ### How to use it Online, open the Space page and use the screen there. On your own computer, start the app with the command below and use the screen it opens. ```sh python app.py ``` | Tool | What it does | | --- | --- | | app.py | The main Gradio file that starts the demo | | examples/ | A folder of example material for the demo | | cached\_outputs/ | A folder of saved outputs, matched to examples by a hash script | | hash\_code\_for\_cached\_output.py | A script that makes the hash codes used for cached outputs | ### Example You open the Space and try one of the bundled examples. The source does not show the screen, but the demo returns audio from the voice model. ### For newcomers and experts Open the Space page and start with an example, since the repository ships its own. You will not need to install anything for that. The Space runs on cpu-basic hardware and names the myshell-ai/OpenVoice-v2 model. The cached outputs folder and the hash script suggest that saved results are served for the examples, though the source does not say so. The Gradio version is 3.48.0, which is an older release. You open the demo or run app.py → You pick or supply input in the Gradio screen → The OpenVoice v2 model produces audio → The result plays in the screen ### Good to know - Hardware: cpu-basic at Hugging Face, built with Gradio 3.48.0 - License: mit, with a LICENSE file in the repository - Cost to run: none named - Data it reaches: the input you give it, plus the model it names - Not for: the source names no limits ## README ````markdown # OpenVoiceV2 Demonstrates OpenVoice v2, a voice model from MyShell, in a Gradio app with example audio and cached outputs. It suits people who want to try the model online or read how the demo is built. Made by myshell-ai on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face. ## About What it is: OpenVoiceV2 is a Gradio demo of OpenVoice v2, the voice model from myshell-ai. The Space names that one model. Its repository holds app.py, a checkpoint file, an examples folder, a folder of cached outputs and an MP4 file. Who it suits: People who want to hear what OpenVoice v2 does in a browser tab before they install any voice software. ```table Industry | Who uses it | How they use it | Example Audio tech | Voice developers | Try the model before building on it | One of the bundled examples Content | Video creators | Test whether the voice output fits a project | A short narration test Research | Speech researchers | Look at the demo's code and cached results | The cached_outputs folder Education | Students | See a voice model run with no setup | A classroom demo ``` If you do not work with speech or audio, you can skip it. Where to use it: - A web browser, on the Space's page at Hugging Face - Windows, macOS or Linux with Python, from a downloaded copy ```table Use case | Who | What they get back Trying the model | Developers | Audio produced by OpenVoice v2 Example playback | Newcomers | The saved example results in the repository Code study | Researchers | A short app file and a hash script to read ``` How to set it up: - Python on your computer - Python packages from requirements.txt, with Gradio 3.48.0 - No account or key is named 1. Install the Hugging Face hub package. 2. Download the Space with the hf command. 3. Move into the downloaded folder. 4. Install Gradio 3.48.0, then the requirements. 5. Start app.py. ```sh pip install -U huggingface_hub hf download myshell-ai/OpenVoiceV2 --repo-type space --local-dir OpenVoiceV2 cd OpenVoiceV2 pip install gradio==3.48.0 pip install -r requirements.txt python app.py ``` How to use it: Online, open the Space page and use the screen there. On your own computer, start the app with the command below and use the screen it opens. ```sh python app.py ``` ```table Tool | What it does app.py | The main Gradio file that starts the demo examples/ | A folder of example material for the demo cached_outputs/ | A folder of saved outputs, matched to examples by a hash script hash_code_for_cached_output.py | A script that makes the hash codes used for cached outputs ``` Example: You open the Space and try one of the bundled examples. The source does not show the screen, but the demo returns audio from the voice model. For newcomers and experts: Open the Space page and start with an example, since the repository ships its own. You will not need to install anything for that. The Space runs on cpu-basic hardware and names the myshell-ai/OpenVoice-v2 model. The cached outputs folder and the hash script suggest that saved results are served for the examples, though the source does not say so. The Gradio version is 3.48.0, which is an older release. ```flow You open the demo or run app.py You pick or supply input in the Gradio screen The OpenVoice v2 model produces audio The result plays in the screen ``` Good to know: - Hardware: cpu-basic at Hugging Face, built with Gradio 3.48.0 - License: mit, with a LICENSE file in the repository - Cost to run: none named - Data it reaches: the input you give it, plus the model it names - Not for: the source names no limits ## On Hugging Face, 13 November 2026 - Likes: 364 - Built with: gradio - License: mit ## Links - Space: https://huggingface.co/spaces/myshell-ai/OpenVoiceV2 - Files: https://huggingface.co/spaces/myshell-ai/OpenVoiceV2/tree/main ## Try it Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [myshell-ai/OpenVoiceV2 on Hugging Face](https://huggingface.co/spaces/myshell-ai/OpenVoiceV2) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | OpenVoiceV2 (this page) | 364 | gradio | mit | 2024-08-02 | | [MusicGen](https://mindket.com/p/07af2531-69de-4005-a4f6-8c16dd10048d) | 5,116 | gradio | cc-by-nc-4.0 | 2026-05-27 | | [Kokoro TTS](https://mindket.com/p/aa996ded-5768-48f4-b403-33520c1b1bdf) | 3,556 | gradio | apache-2.0 | 2025-04-09 | | [Background Removal](https://mindket.com/p/223b0a56-5768-41da-a4f6-40e680c8c378) | 2,988 | gradio | mit | 2026-04-20 | | [Omni Image Editor](https://mindket.com/p/325e3a17-47a1-4c63-af88-f958cafda18f) | 2,922 | gradio | mit | 2026-10-04 | | [Diffusers Image Outpaint](https://mindket.com/p/17629f6c-cc47-4be0-bc83-ff22dfa7389a) | 2,565 | gradio | apache-2.0 | 2026-05-13 | Numbers as Mindket last read them, on 2026-11-12. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2024-08-02 - First published: 2024-04-24 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open myshell-ai/OpenVoiceV2 on Hugging Face](https://huggingface.co/spaces/myshell-ai/OpenVoiceV2) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/6fb7a393-ab21-464c-9870-14e606435957) - [Its page on Mindket](https://mindket.com/p/6fb7a393-ab21-464c-9870-14e606435957)