Applio
Open-source RVC voice conversion with a simple Gradio interface.
About
Applio is an open-source voice conversion toolkit built on retrieval-based voice conversion (RVC). It wraps training and inference in an accessible Gradio UI plus a scriptable CLI, supporting local installation on Windows, Mac, and Linux as well as cloud use via Google Colab. It plugs into a community ecosystem of tens of thousands of pretrained RVC voice models and supports plugins for extensibility.
The code is MIT-licensed, though the project asks that generated audio respect copyright and privacy rights, and voice models trained on real people's voices carry their own consent questions. Recent community notes describe the project as stable and in maintenance mode rather than under heavy feature development. It remains one of the most approachable ways to run high-quality RVC conversion without assembling a pipeline by hand.
What it can do
- RVC voice conversion UI and CLI
- Model training and index generation
- Plugin ecosystem
Setup
Download from GitHub and run the installer, or use the Colab notebook.
Prerequisites
An Nvidia GPU helps locally; otherwise use Colab.
Use cases
Works with
Trust score — 7/10
Scored 7/10 (metrics tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 77; Trending score 70/100 from researcher assessment.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.