AIVoiceSeparator vs LALAL.AI

AIVoiceSeparator separates songs into vocal and instrumental stems for backing tracks or clean vocals. Its Studio pipeline combines BS-Roformer, Mel-Roformer, and MDX23C, then applies EBU-R128 loudness normalization. The maker reports an SDR of 12.97 dB and says this is roughly 3 dB above the open Demucs baseline. The web app accepts audio and video files up to 100 MB and 20 minutes in formats including MP3, WAV, M4A, FLAC, OGG, WebM, Opus, and MP4/MOV. You can submit YouTube or SoundCloud links; TikTok clips must be saved and uploaded. Optional Whisper transcription returns SRT, LRC, and TXT files and adds about 30 seconds to processing. A REST API accepts a URL or upload and returns both stems. The free plan allows three songs per month when signed in; pay-as-you-go credits cost $0.50. The maker says uploads and results are deleted within 24 hours and audio is not used to train AI models.

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.