TuneLab
AI Stem Splitter
Split any song into vocal and instrumental stems. AI neural network separation with lossless WAV output.
Drop audio file here or click to browse
MP3, WAV, FLAC, OGG, M4A · Up to 15 minutes
Private — processed on your device, never uploaded
First use downloads a 32 MB AI model (cached for future visits).
Preparing...
Processing locally
Remove vocals from the mix →
Extract clean acapella →
Convert stems to MIDI →
Make a karaoke track →
How to Split Audio into Stems
- 1 Drop your track — MP3, WAV, FLAC, OGG, or M4A up to 15 minutes
- 2 AI isolates vocals and instrumentals into separate stems
- 3 Preview each stem with solo/mute controls, then download as lossless WAV
Frequently Asked Questions
What stems does the splitter produce?
The AI separates your track into two stems: vocals and instrumentals. Each stem exports as a lossless WAV file at the original sample rate. You can solo, mute, and adjust volume independently before downloading.
What AI model does the stem splitter use?
A deep neural network trained on thousands of multi-track recordings. It analyzes the audio spectrogram to identify spectral patterns unique to vocals versus instruments, producing clean separation even on dense mixes. When your device supports WebGPU, inference runs on the GPU for 5-15 second processing times. Otherwise it falls back to multi-threaded WASM on the CPU (30-90 seconds).
How is stem splitting different from vocal removal?
Same AI engine, different workflow. The Vocal Remover page is optimized for extracting or removing vocals. The Stem Splitter gives you both stems with equal emphasis — designed for producers who need vocals and instrumentals as separate files for remixing, sampling, or DAW import.
What output format do the stems use?
All stems export as uncompressed WAV at the original sample rate and bit depth. WAV is universally supported by DAWs (Ableton, FL Studio, Logic, Pro Tools, Reaper) and preserves full audio quality with no generation loss.
How does this compare to cloud-based stem splitters?
Most alternatives upload your audio to a remote server for processing. This tool can run directly on your device using WebGPU or WASM — your files stay on your machine. For longer tracks or slower devices, Cloud Assist processing is available, with files deleted immediately after stems are returned.
Does it handle full mixes well?
Yes. The neural network is trained specifically on full song mixes — pop, rock, electronic, hip-hop, and more. Separation quality is highest when vocals are clearly present. Heavily layered or reverb-drenched mixes may show minor bleed between stems, which is normal for any source separation model.
Can I use the stems commercially?
The tool performs the separation — licensing depends on your rights to the original audio. If you own the master or have a license, the stems inherit those rights. For sampling copyrighted material, standard music copyright rules apply.
