Audio
Retrieval-based-Voice-Conversion-WebUI
Easily train a good VC model with voice data <= 10 mins!
★ 38,6 k étoilesMIT
Voir le guide →Applio est un projet de audio open source, créé par IAHispano (IAHispano/Applio sur GitHub). Il compte 3 806 étoiles sur GitHub et 602 forks, il est publié sous la licence MIT et a été mis à jour pour la dernière fois sur GitHub le 5 octobre 2026.
A simple, high-quality RVC voice conversion tool focused on ease of use and performance.
Decide the first concrete outcome you want from it, so you can pick the right example, template or mode instead of exploring everything at once.
Clone the repository (or install the published package) and skim its README quick start for the requirements for your platform.
Run the documented install step and set any required configuration — such as provider keys, data sources or local services — before the first run.
Execute the smallest documented example end to end, confirm the output is what you expected, then adapt it to your real data or workflow.
Convert voice recordings to a target voice with a pipeline focused on quality and performance.
Train your own voice models inside the tool, with optional TensorBoard monitoring.
One-click install scripts — run-install.bat on Windows, run-install.sh on Linux/macOS.
Extend Applio through the separate Applio-Plugins collection and custom configurations.
Compiled versions are published on the project's Hugging Face space for a quicker start.
The maintainers describe the project as stable and mature, with an active community on Discord.
Get the source so you can inspect, configure and run it locally.
git clone https://github.com/IAHispano/Applio.git
cd ApplioClone the repo, then run the installer for your platform.
git clone https://github.com/IAHispano/Applio.git
cd Applio
./run-install.sh # Windows: run-install.batStart Applio and open the web UI to train a model or convert a recording.
./run-applio.sh # Windows: run-applio.batIt is maintained by IAHispano on GitHub (IAHispano/Applio), where the source, issues and releases live.
Yes — it is free and open source under the MIT licence, which permits use, modification and redistribution, including commercially, with attribution.
No — Applio runs locally on your own GPU/CPU and needs no paid API key; use it only with voices you have the right to use.
Compared with the original RVC WebUI, Applio's distinguishing focus is: a simple, high-quality RVC voice conversion tool focused on ease of use and performance. Pick it when that focus matches your need; the alternative may suit you better if its broader or different scope is the priority.
Clone https://github.com/IAHispano/Applio (or install its published package), follow the README quick start to install and configure it, then run the smallest documented example — the Run section on this page mirrors those steps.
Easily train a good VC model with voice data <= 10 mins!
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Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.