AIVoiceSeparator vs PhonicMind

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.

PhonicMind is a browser-based service for removing vocals and separating songs into stems. Its V.2.0 analysis examines a complete track, identifies vocal layers and instrument groups, and separates them in one pass. The service says it can recognize up to 16 stem classes and produce up to eight usable stems plus a metronome, depending on the song and tier. Stem categories include lead and backing vocals, instrumental, drums, percussion, bass, guitars, keys, strings, and horns. The browser player provides synchronized lyrics, chords, tempo detection, metronome, mixer controls, and stem playback. Uses include karaoke, acapella extraction, instrumental creation, practice, arrangement study, and remixing. Uploads accept MP3, AAC, WMA, FLAC, WAV, and AIFF files up to 100 MB. Plans range from a 6.99 USD one-time conversion to monthly tiers at 9.99, 18.99, and $29.99 a month.