AI Vocal Remover & Instrumental Extractor

100% Free
Client-Side · 100% Private

Separate vocals and accompaniment from any song or audio file directly in your browser. Extract clean acapella voices and karaoke backing tracks with 100% client-side privacy.

Loading workspace...

Free AI Vocal Remover & Instrumental Extractor Online: 100% Private

Separate vocals from music and isolate clean acapella voices and karaoke instrumental tracks directly in your browser. Powered by state-of-the-art MDX-Net deep neural networks and Web Audio DSP, your audio is demixed with studio-grade precision on your device—with zero server uploads, zero waitlists, and unlimited free WAV exports.

Why Choose CampaignMorph AI Vocal Remover?

AI Deep Learning (MDX-Net)

Uses advanced spectrogram neural network models to isolate vocal harmonics from backing tracks, working on mono reels as well as stereo studio recordings.

Interactive Dual Mixer

Live volume faders and mute toggles let you balance acapella vocals and karaoke backing tracks independently before exporting.

Lossless 16-Bit WAV Export

Export studio-quality uncompressed 16-bit PCM WAV stems ready for DAWs like Audacity, Premiere Pro, DaVinci Resolve, and Logic Pro.

100% Client-Side Privacy

Inference executes locally via WebGPU/WebAssembly in your browser memory. Your songs, reels, and voice memos never touch external servers.

Popular Use Cases for Vocal & Instrumental Separation

Audio stem separation is an essential capability across modern content creation, music production, and multimedia workflows:

  • Karaoke & Backing Tracks: Remove lead vocals from your favorite tracks to create professional karaoke backing music for practice, rehearsals, or live events.
  • Instagram Reels & TikTok Content: Extract clean speech from background music in viral reels or strip copyrighted music to replace it with royalty-free tracks.
  • Acapella Extraction for Remixes & Mashups: Isolate clean vocal tracks to remix with new beats, build EDM bootlegs, or sample vocal chops in digital audio workstations (DAWs).
  • Video & Podcast Audio Cleanup: Separate speaking voices from background ambient music or sound effects in recorded interviews, webinars, and vlog episodes.

How to Remove Vocals from Songs in 3 Simple Steps

STEP 01
Upload Audio

Drag and drop any MP3, WAV, M4A, or FLAC track from your computer or phone.

STEP 02
Tune Separation

Listen with synchronized dual waveforms. Adjust volume sliders or mute stems in real time.

STEP 03
Download Stems

Download your isolated Vocals (Acapella) and Instrumental (Karaoke) as clean WAV audio files.

Frequently Asked Questions

1. Is this Vocal Remover completely free and private?

Yes, 100% free with no subscription, no file limits, and no watermarks! Unlike traditional online audio converters, all AI inference and stem extraction happen entirely on your device inside your web browser. Your audio files are never transmitted to external servers.

2. Does it work on mono Instagram Reels or TikTok audio?

Yes! With the AI Neural Network (MDX-Net) mode, the model analyzes frequency spectrogram harmonics rather than channel phase differences. This enables high-accuracy separation on mono recordings as well as full stereo studio tracks.

3. What audio file formats are supported?

CampaignMorph Vocal Remover supports all common audio formats decoded by modern browsers, including MP3, WAV, M4A, AAC, FLAC, and OGG. Files up to 60MB are supported.

4. What format are the extracted stems downloaded in?

Extracted Vocals (Acapella) and Music (Instrumental) are encoded directly into high-fidelity, uncompressed 16-bit PCM WAV audio files. They are compatible with all audio editing software and media players.

5. Can I adjust the volume of the vocals and music separately?

Yes. The dual-track mixer allows you to adjust the volume of vocals and instrumental accompaniment independently from 0% to 100%, or mute either track with a single click before downloading.

Share Tool

Share this tool

Help other marketers, developers, and creators discover these insights.