Creating a karaoke version of a song used to mean hunting for an official instrumental release or settling for a low-quality MIDI approximation. With our free stem separator, you can extract a professional quality instrumental track from any uploaded audio file in seconds. Our AI splits the song into vocals, piano, guitar, bass, drums, and other instruments, giving you a clean backing track that retains all the warmth and detail of the original recording. Karaoke singers, vocal coaches, and music teachers rely on our tool daily for exactly this purpose. But the instrumental track is just the beginning — if you are a dance instructors looking to create band rehearsals or a Twitch streamers working on DJ performances, the individual separate audio components give you far more flexibility to rebuild and reimagine the original in Cubase. Highly effective for music journalists who need professional audio tools without professional costs. Knowing the BPM and musical key of a track before working with its stems is what separates a professional-sounding remix from an amateur attempt — use our free BPM & Key Finder to get both instantly. Acapella groups and barbershop quartets use isolated vocal stems as reference tracks when learning and arranging new songs, allowing each member to study the original performance in detail.

The acapella from "Indochine - Tomboy 2" is one of the most flexible assets you can extract from this track. mix engineers use it for singing competitions and talent showcases, music students apply it to lyric analysis and melody transcription, and solo artists bring the radio-ready isolated vocal into Ableton Live for everything from detailed analysis to full remix production. The clean isolation preserves every dynamic shade of the original performance, giving you something genuinely useful from the very first listen. Brilliant for anyone who wants to start their next creative project from a vocal they already love. Harmonic mixing starts with knowing the key — our BPM & Key Finder detects both the musical key and tempo of any uploaded track, making it the perfect companion to our extractor. 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.