StemRoller is a cross-platform desktop application that leverages Facebook’s Demucs deep learning algorithm to perform audio source separation. Users search for songs via YouTube integration and the app extracts individual stems such as vocals, drums, bass, and other instruments. The frontend is built with Svelte while the backend runs Python inference using the Demucs model.