AudioStem.ai vs StemDeck

AudioStem.ai has no write-up on Specifiction yet; its figures are above.

StemDeck separates songs into stems for practice, study, transcription, remixing, and other creative audio work. Its Demucs htdemucs_6s model separates vocals, drums, bass, guitar, piano, and other sounds. Files accepted include MP3, WAV, FLAC, OGG/Opus, MP4, and M4A, and songs can also be supplied by YouTube URL. The workspace provides waveform lanes, mute and solo controls, volume adjustment, and looping; users can export individual stems or a custom mix in WAV or MP3. Song analysis includes BPM, key, scale, confidence, integrated LUFS, and sample peak level. StemDeck says audio processing runs locally and the app does not transmit, store, cache, or redistribute audio. Internet access is needed for YouTube downloads and an initial model fetch of about 170 MB, which is cached afterward. The project documents Docker and Unraid deployment, source-based web-server use, and a local REST API. It is free, with no account, quota, uploads, or subscription, but handles one job at a time, supports up to six stems, and has no mobile app.