Mindket

Applio

Newversion 1 · updated

Overview

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 . Download it on this page, a zip of its files. Nothing in it runs by itself.

At a glance

You need
  • Python and pip
  • Windows, macOS or Linux
  • The packages listed in requirements.txt, and the system packages in packages.txt for a container build
Runs in
  • 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
Start with
pip install -U huggingface_hub
hf download AnhP/Applio-Client --repo-type space --local-dir Applio-Client
cd Applio-Client

Platform

WindowsOperating system
macOSOperating system
LinuxOperating system
DockerContainer

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.

IndustryWho uses itHow they use itExample
CreativeArtistsTurn a recorded voice into another voiceConvert a vocal take for a personal project
SoftwareDevelopersAdapt the app with plugins and settingsRun it with a changed configuration
ResearchAcademic researchersStudy voice conversion on their own audioRun a conversion for a university project
Audio productionSound designersTry voice changes before a final mixCompare 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 caseWhoWhat they get back
Voice transformationArtistsA recording converted to another voice
CustomizationDevelopersAn app extended through plugins and configuration
Academic studyResearchersConverted 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.
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
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.

python app.py
ToolWhat it does
run-install scriptInstalls the app on your system
run-applio scriptStarts Applio and opens its interface in your browser
app.pyStarts the Gradio page for this Space
run-tensorboard scriptLaunches 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.

  1. Install with the script for your system
  2. Launch Applio
  3. Gradio opens in your browser
  4. 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 and files

README

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.

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.
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
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.

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

On Hugging Face, 13 November 2026

  • Likes: 14
  • Built with: gradio
  • License: mit

Links

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.

Files
README.md  5 KB

1 file, 5 KB, downloaded as a zip.

What’s new

  • Version 1 · 2026-11-12

Compare with similar

Listed Hugging Face Spaces in the same category that share the most tags with this one.

ProductLikesBuilt withLicenseLast change
Applio This page14gradiomit
MusicGenShares gradio5,116gradiocc-by-nc-4.0
Kokoro TTSShares gradio3,556gradioapache-2.0
Background RemovalShares gradio2,988gradiomit
Omni Image EditorShares gradio2,922gradiomit
Diffusers Image OutpaintShares gradio2,565gradioapache-2.0
Numbers as Mindket last read them, on 2026-11-12.

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