Applio is a high-quality voice conversion toolkit designed to make modern RVC/VITS-based voice cloning accessible to non-experts. It focuses strongly on ease of use: installation scripts for Windows, Linux, and macOS set up dependencies and then launch a browser-based Gradio interface. Within that interface, users can train and run voice conversion models for tasks like singing conversion, speech-to-speech transformation, and voice cloning. The project is structured to be flexible through plugins and configurations so users can extend functionality without touching the core code. Applio is considered stable and mature; ongoing development is now centered on security patches, dependency maintenance, and occasional improvements, which makes it attractive for production or repeatable workflows. It also includes TensorBoard helper scripts so people training custom models can monitor metrics and experiment more systematically.
Features
- Browser-based Gradio UI for voice conversion and voice cloning
- Simple install and run scripts for Windows, Linux, and macOS
- Plugin system and configuration options to extend capabilities
- TensorBoard integration scripts for monitoring training runs
- MIT-licensed code with additional Terms of Use for responsible, commercial-ready usage
- Prebuilt resources like plugins, compiled builds, playground, and Colab notebooks