Detects Music Layer
Trained AI identifies tonal music — drums, bass, instruments, melodies — separately from speech and vocal foreground.
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REMOVE BACKGROUND MUSIC
Open our Extract Vocals workflow to remove music from videos, interviews and podcast recordings — leaving clean speech or vocal-only audio.
REMOVE BACKGROUND MUSIC
Whether you're rescuing a podcast clip from licensed music or isolating dialogue for re-use, our AI removes background music while keeping speech and vocals intact.
Overview
Source-separation AI identifies background music and removes it, leaving the foreground (speech, vocals or sound effects) untouched.
Workflow
Upload your audio or video soundtrack, wait a few seconds, and download the music-free version ready to drop into your podcast or video edit.
Use Cases
Salvage interviews recorded near music, prep documentary B-roll, isolate lecturer audio, prepare voiceovers for re-mixing — all without re-recording.
Trained AI identifies tonal music — drums, bass, instruments, melodies — separately from speech and vocal foreground.
Speech, dialogue and vocal performances are preserved while the music layer is removed.
Use cleaned audio for personal projects and content where the music license has expired or was not properly cleared.
Yes — modern AI models preserve speech intelligibility while removing the music layer.
Extract the audio track from your video, run it through the tool, and re-mux the cleaned audio back into your video editor.
Yes — free credits to start, with paid plans for Hi-Fi and longer files.
Modern source-separation handles loud music well, though very quiet speech against very loud music may sound thin after removal.
Yes — generate replacement music with our AI Background Music Generator and re-mix in your editor.
Drop your podcast or video audio, remove the background music, and re-edit with confidence.