Applio

Applio is an open-source voice conversion tool built on top of Retrieval-Based Voice Conversion (RVC) technology. It allows users to transform one voice into another while preserving the original speech's intonation, timing, and emotion. The tool is popular among music producers, content creators, and AI enthusiasts for creating AI voice covers and voice transformations.

The platform provides a user-friendly Gradio-based web interface that simplifies the traditionally complex process of voice model training and inference. Users can train custom voice models from audio samples, convert audio files using pre-trained models, and fine-tune parameters like pitch shifting and feature extraction methods (RMVPE, Crepe, Harvest) for optimal results.

Applio supports multiple audio formats, batch processing, and offers both a local installation and a Google Colab option for users without powerful GPUs. The project maintains an active model repository where the community shares pre-trained voice models. It also includes tools for dataset preparation, audio preprocessing, and model management.

As one of the most popular RVC forks on GitHub, Applio has built a large community around voice conversion experimentation. It is frequently used for creating AI song covers, voice acting experiments, and audio content production.