Remixing starts with the right raw material, and nothing is more valuable than a clean set of individual audio stems. Our free vocal remover and stem separator splits this track into six isolated audio components — vocals, piano, guitar, bass, drums, and other instruments — all at hi-fi quality, ready to use immediately. content creators and music enthusiasts use these for music education, pitch correction practice, and Ableton Live sessions without needing to pay for official remix packs or stem licenses. Upload your audio file in MP3, wait a few seconds for the AI to process it, and download your stems individually or all at once. Once imported into GarageBand, the creative process can begin immediately without any additional preparation. Simply the best option for anyone serious about music production who wants professional results without the professional price tag. Before you start remixing, use our BPM & Key Finder tool on this site to detect the exact tempo and musical key of this track — essential information for any producer working in a DAW. Extracted vocals often benefit from a light application of reverb and compression to help them sit naturally within a new mix — start with subtle settings and adjust by ear.

Remixers, mashup artists, and musicians all know that the quality of the acapella determines the quality of the final production. The acapella extracted from "Ja Rule - Put It On Me" is delivered at industry-standard quality and is ready to use immediately in Pro Tools for wedding and event performance preparation and lyric analysis and melody transcription. Layer it over a new beat, combine it with elements from a completely different track, or use it as the melodic foundation of a new arrangement. The go-to solution for tribute band musicians who start their creative process with the voice and build everything else around it. Knowing the BPM and musical key before working with extracted audio is what separates a professional-sounding remix from an amateur attempt — use our free BPM & Key Finder to get both instantly. 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.