Applio is a free, open-source suite for voice conversion. It converts any audio into another voice using ready-made models, with controls for pitch, cleaning, upscaling and batch processing. The same app supports real-time voice changing, training a custom voice from your own dataset, blending several voice models into a new one, and generating speech from text that runs through your chosen model. An audio analyzer checks dataset readiness before training. It is MIT licensed and runs on Windows, macOS and Linux.
The audience ranges from complete beginners trying their first AI cover to seasoned audio engineers building custom voices. Musicians and covers creators transform songs, streamers and gamers change their voice live with low-latency inference, and researchers or hobbyists train models on their own recordings. Because it is open source, developers can inspect and modify the code, and the license allows personal, research or commercial work. There are no accounts, no paywalls and no telemetry, with everything running locally.
Getting started takes three steps: download the standalone Desktop app or the classic Gradio WebUI, pick a community-shared voice model or train your own, then convert songs, speech or microphone input. Typical projects include AI song covers, live voice changing on calls and streams, narration produced with text-to-speech in a custom voice, and blended voices for characters. A hosted playground and a searchable library of community voice models help people test before installing, and an active Discord and GitHub community discusses features and fixes openly.
