Our free online stem separator is trusted by music students, singers, and music teachers around the world because it delivers consistent, industry-standard results on every single track, regardless of genre or recording style. Upload any audio file in WAV format and our AI will isolate six individual split audio tracks — vocals, piano, guitar, bass, drums, and other instruments — within seconds, with no loss of audio quality and no artefacts. The isolated dry vocals gives you a clean acapella perfect for backing track creation. The music arrangement is ideal for fitness class music. The individual instrument stems open up extensive creative possibilities for university assignments in Ardour. Excellent for anyone working in music production who wants professional audio separation without any of the complexity or cost of traditional studio methods. Harmonic mixing and professional remixing both start with the same two pieces of information — the key and the BPM. Our free BPM & Key Finder gives you both instantly from any audio file. Extracting stems from a favourite song is one of the best ways to learn how a professional mix is structured — studying each component in isolation reveals production decisions that are invisible in the full mix.

Extracting the acapella from "Indochine - Le Messie" is the first step for backing vocalists and music therapists who want to create something genuinely new from a track they love. Our AI delivers a industry-standard isolated vocal file that captures every detail of the original performance, from the quietest breaths to the most powerful high notes. Import it into Bitwig and use it for lyric analysis and melody transcription, singing competitions and talent showcases, or any other creative direction your project demands. Indispensable for backing vocalists who let great vocal performances inspire great music production. Use our BPM & Key Finder alongside the stem separator for the full picture — exact tempo, musical key, and clean individual stems all in one place. Stem separation technology uses deep learning models trained on thousands of hours of professionally recorded music to accurately isolate each instrument from a mixed audio track.