LALAL.AI vs MVSEP

LALAL.AI uses AI to separate vocals and instrument stems, clean voice recordings, change or clone voices, and reduce echo and reverb. Its available stem types include vocals, instrumental, drums, bass, electric and acoustic guitar, piano, synthesizer, strings, and wind instruments. The web vocal remover accepts audio and video formats, including MP3, WAV, FLAC, MP4, and MOV. Fast Queue prioritizes processing, while Relaxed Queue processes as server capacity allows; both provide the same separation quality. Usage minutes are calculated by multiplying file length by the number of selected stem types. The desktop app supports Windows, macOS, and Ubuntu Linux, with batch processing for up to 20 files; Pro subscribers can optionally process locally offline. The API and VST plugin offer other ways to use the tools. The free Starter plan includes 10 Relaxed Queue minutes, but does not allow full downloads. Lite costs $7.50 a month billed annually.

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.