MVSEP vs StemRoller

MVSEP separates audio into voice and music parts and offers tools for vocal removal, karaoke creation, and stem splitting. Its extraction options include vocals, instrumental, bass, drums, piano, guitar, and other listed stem types; it also provides speech isolation, noise and reverb removal, and audio upscaling. The service lists more than 100 AI models for vocals, instruments, speech processing, transcription, MIDI extraction, and voice generation. It is available on the web, Android, iOS, and Windows, as well as through an API for creating separations, retrieving results, checking algorithms and queue information, managing users, and accessing separation history. Exports include MP3, WAV, FLAC, and M4A, and batch processing is available. The free Unregistered and Registered plans each allow 50 daily separations, tracks up to 10 minutes and 100 MB, and one concurrent job. Registered users also get additional output formats, medium queue priority, no captcha, and limited API access. Premium uses prepaid credits, supports tracks up to 100 minutes and 1000 MB, and offers full API access. Standard models charge by audio minutes; Ensemble models multiply minutes, and every job costs at least one credit.

StemRoller is a free desktop application for turning songs into karaoke, vocal, and instrumental material. Search by song title and it finds results online through YouTube search integration. Using the Demucs machine-learning project, StemRoller separates a song into four outputs: vocals, drums, bass, and everything else. It also mixes the non-vocal stems into an instrumental track. Splitting takes several minutes, and batch processing is not available. The maker describes StemRoller as open source, with the README offering either the Unlicense or MIT No Attribution license. The homepage links to a macOS ZIP and a Windows CUDA executable, version 3.1.1. Linux is not officially supported, although the README provides manual dependency setup instructions. The Free plan costs nothing and includes four stem outputs plus an instrumental track. Questions and issues can be taken to Discord.