Audiola vs MVSEP

Audiola is a free desktop audio studio for Windows, macOS, and Linux. It separates songs into vocals, drums, bass, guitar, piano, and other stems with Demucs running locally, without cloud processing or uploads. The multitrack studio supports cutting, moving, fading, looping, undo history, snapping, and effects. Karaoke view shows lyrics and the original melody, scores singing, and can tune a recorded take toward that melody. Mastering tools provide EQ, compression, EBU R128 loudness targeting, live A/B comparison, and 14 profiles. Users can create local or ElevenLabs voice profiles, swap a clip’s voice, and generate speech from text; the maker advises using only owned or licensed voices. Tracks can be placed in a 7.1.4 spatial bed, which the maker says can be exported. Exports include WAV, MP3, and AAC-M4A. A contact form accepts questions and reports without an account.

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.