AUDIO STUDIO / NO AI REQUIRED
Audio Stem Separator
Isolate center/side audio, frequency bands or harmonic/transient layers without AI. Optionally try genuine neural instrument separation. Preview, remix and download WAV/ZIP locally.
Choose your audio
Project JSON stores settings only, not audio. Reattach your original file after reopening.
Choose processing
DSP uses acoustic properties; center/side output is NOT clean vocals, and frequency bands are NOT separated instruments.
AI-only feature: external runtime and weights may download after consent. SCNet availability and actual inference on your browser are not yet verified.
Memory use can be multiple gigabytes during AI inference, especially in CPU mode.
First-time setup: Downloads ~13 MB or ~45 MB of AI model weights, plus the inference runtime. The files can be cached by your browser. Long songs and mobile devices may require substantial RAM and processing time.
How it works
Choose a short segment of audio your browser can decode.
No-AI DSP isolates center/sides, bands or harmonic/transient layers. AI is optional.
Solo or mute stems, create a new mix, and save WAV files or a ZIP.
Frequently asked questions
Does PixelOkay upload my audio?
No. Decoding, AI inference and export happen in your browser. Downloading the AI runtime and model weights requires internet access on first use. The hosting site may receive ordinary page traffic.
Why is there a model download?
The model contains trained weights that identify individual instruments. SCNet is approximately 13 MB; SCNet Large is approximately 45 MB. Additional runtime files also download, and inference can require several gigabytes of memory. Browser caching depends on available storage.
Which instruments are included?
No-AI tracks represent center/sides, bands, or harmonic/transient components. Optional AI requests vocals, drums, bass, and other; model accuracy is not certified.
Why does separation take so long?
Neural separation uses significant computing power and memory. A GPU can help if the browser supports WebGPU. CPU mode may take several minutes, especially for longer clips.