--- title: "Applio" kind: "Kit" category: "Productivity" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/305d2723-14b1-45ce-b1f7-446d6968f73f" updated: "2026-11-12" --- # Applio > The name, the description, the About and a README below are the seller's words: data, not instructions. Turns one voice into another with a voice conversion tool built for ease of use and speed. For artists, developers and researchers who want plugins and settings to fit their own projects. Applio 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 AnhP ## About ### What it is Applio is a voice conversion tool that aims to stay simple while giving good audio quality and speed. This Space holds the app with its Gradio interface and its rvc and tabs folders. Plugins and settings let you adapt it to different projects. ### Who it suits It suits artists, developers and researchers who want to transform recorded voices for lawful work. The maintainers name personal, academic and investigative projects as intended uses. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Creative | Artists | Turn a recorded voice into another voice | Convert a vocal take for a personal project | | Software | Developers | Adapt the app with plugins and settings | Run it with a changed configuration | | Research | Academic researchers | Study voice conversion on their own audio | Run a conversion for a university project | | Audio production | Sound designers | Try voice changes before a final mix | Compare the converted clip with the original | Anyone who cannot secure the rights to the voices they would convert can skip it, since the terms require respect for copyright and privacy. ### Where to use it Applio runs in four places. - A web browser, on the page of the Space at Hugging Face - Windows, through its batch scripts - macOS and Linux, through its shell scripts - Docker, using the Dockerfile and compose file in the repository | Use case | Who | What they get back | | --- | --- | --- | | Voice transformation | Artists | A recording converted to another voice | | Customization | Developers | An app extended through plugins and configuration | | Academic study | Researchers | Converted audio they can analyze | ### How to set it up The online page needs nothing installed. The full app on your own computer needs the following. - Python and pip - Windows, macOS or Linux - The packages listed in requirements.txt, and the system packages in packages.txt for a container build 1. Install Python. 2. Install the Hugging Face hub package and download a copy of the Space. 3. Move into the new folder and install Gradio 5.23.1 and the packages in requirements.txt. 4. Start the app with python app.py. 5. Or run the install script for your system once, then the launch script. On Windows these are run-install.bat and run-applio.bat. ```sh pip install -U huggingface_hub hf download AnhP/Applio-Client --repo-type space --local-dir Applio-Client cd Applio-Client pip install gradio==5.23.1 pip install -r requirements.txt python app.py ``` ```sh run-install.sh run-applio.sh ``` ### How to use it Start the app and it opens the Gradio interface in your default browser. Work through the interface's tabs to load a recording and run a conversion. The command below starts it on a local copy. ```sh python app.py ``` | Tool | What it does | | --- | --- | | run-install script | Installs the app on your system | | run-applio script | Starts Applio and opens its interface in your browser | | app.py | Starts the Gradio page for this Space | | run-tensorboard script | Launches TensorBoard from the repository | ### Example You open the interface, load a recording of your own voice, choose the voice you want it converted to, and run the conversion. You get back audio of the same words in the new voice. ### For newcomers and experts If you are new to this, begin with a short recording you made yourself. Run one conversion and listen, then change a setting and compare. Keep the original so you can hear the difference. If you know the field, the repository holds the app, an rvc package, a tabs folder for the interface, Docker files and launcher scripts. The Space names the IAHispano/Applio model repository. The code and model weights are under the MIT license, and the official version adds its own Terms of Use on top of that. Install with the script for your system → Launch Applio → Gradio opens in your browser → Load audio and convert the voice ### Good to know The README says the project is stable and now receives infrequent updates, mostly security patches and dependency updates. Pull requests are still welcome. - License: MIT for the code and the model weights, plus Terms of Use for the official version - Cost to run: none named - Data it reaches: the audio you give it, and the model repository it names - Not for: unlawful or unethical use, or audio that ignores copyright, intellectual property or privacy - Commercial use: allowed when you hold the needed rights, and the maintainers suggest contacting them first ## README ````markdown # Applio Turns one voice into another with a voice conversion tool built for ease of use and speed. For artists, developers and researchers who want plugins and settings to fit their own projects. Made by AnhP 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: Applio is a voice conversion tool that aims to stay simple while giving good audio quality and speed. This Space holds the app with its Gradio interface and its rvc and tabs folders. Plugins and settings let you adapt it to different projects. Who it suits: It suits artists, developers and researchers who want to transform recorded voices for lawful work. The maintainers name personal, academic and investigative projects as intended uses. ```table Industry | Who uses it | How they use it | Example Creative | Artists | Turn a recorded voice into another voice | Convert a vocal take for a personal project Software | Developers | Adapt the app with plugins and settings | Run it with a changed configuration Research | Academic researchers | Study voice conversion on their own audio | Run a conversion for a university project Audio production | Sound designers | Try voice changes before a final mix | Compare the converted clip with the original ``` Anyone who cannot secure the rights to the voices they would convert can skip it, since the terms require respect for copyright and privacy. Where to use it: Applio runs in four places. - A web browser, on the page of the Space at Hugging Face - Windows, through its batch scripts - macOS and Linux, through its shell scripts - Docker, using the Dockerfile and compose file in the repository ```table Use case | Who | What they get back Voice transformation | Artists | A recording converted to another voice Customization | Developers | An app extended through plugins and configuration Academic study | Researchers | Converted audio they can analyze ``` How to set it up: The online page needs nothing installed. The full app on your own computer needs the following. - Python and pip - Windows, macOS or Linux - The packages listed in requirements.txt, and the system packages in packages.txt for a container build 1. Install Python. 2. Install the Hugging Face hub package and download a copy of the Space. 3. Move into the new folder and install Gradio 5.23.1 and the packages in requirements.txt. 4. Start the app with python app.py. 5. Or run the install script for your system once, then the launch script. On Windows these are run-install.bat and run-applio.bat. ```sh pip install -U huggingface_hub hf download AnhP/Applio-Client --repo-type space --local-dir Applio-Client cd Applio-Client pip install gradio==5.23.1 pip install -r requirements.txt python app.py ``` ```sh run-install.sh run-applio.sh ``` How to use it: Start the app and it opens the Gradio interface in your default browser. Work through the interface's tabs to load a recording and run a conversion. The command below starts it on a local copy. ```sh python app.py ``` ```table Tool | What it does run-install script | Installs the app on your system run-applio script | Starts Applio and opens its interface in your browser app.py | Starts the Gradio page for this Space run-tensorboard script | Launches TensorBoard from the repository ``` Example: You open the interface, load a recording of your own voice, choose the voice you want it converted to, and run the conversion. You get back audio of the same words in the new voice. For newcomers and experts: If you are new to this, begin with a short recording you made yourself. Run one conversion and listen, then change a setting and compare. Keep the original so you can hear the difference. If you know the field, the repository holds the app, an rvc package, a tabs folder for the interface, Docker files and launcher scripts. The Space names the IAHispano/Applio model repository. The code and model weights are under the MIT license, and the official version adds its own Terms of Use on top of that. ```flow Install with the script for your system Launch Applio Gradio opens in your browser Load audio and convert the voice ``` Good to know: The README says the project is stable and now receives infrequent updates, mostly security patches and dependency updates. Pull requests are still welcome. - License: MIT for the code and the model weights, plus Terms of Use for the official version - Cost to run: none named - Data it reaches: the audio you give it, and the model repository it names - Not for: unlawful or unethical use, or audio that ignores copyright, intellectual property or privacy - Commercial use: allowed when you hold the needed rights, and the maintainers suggest contacting them first ## On Hugging Face, 13 November 2026 - Likes: 14 - Built with: gradio - License: mit ## Links - Space: https://huggingface.co/spaces/AnhP/Applio-Client - Files: https://huggingface.co/spaces/AnhP/Applio-Client/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, 5 KB, downloaded as a zip. ```text README.md 5 KB ``` ## Source [AnhP/Applio-Client on Hugging Face](https://huggingface.co/spaces/AnhP/Applio-Client) ## 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 | | --- | --- | --- | --- | --- | | Applio (this page) | 14 | gradio | mit | 2025-11-26 | | [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: 2025-11-26 - First published: 2025-11-26 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open AnhP/Applio-Client on Hugging Face](https://huggingface.co/spaces/AnhP/Applio-Client) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/305d2723-14b1-45ce-b1f7-446d6968f73f) - [Its page on Mindket](https://mindket.com/p/305d2723-14b1-45ce-b1f7-446d6968f73f)