Data month 2026-08

Splittr

Audio

AI Transcription AI Music

Locally separates any YouTube video into vocals, drums, bass, and other stems using WebGPU-powered AI.

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According to AlphaMoat, as of 2026-08, the Chrome extension Splittr has 60 users (+87.5% MoM) — ranked #4,988 of 9,793 AI browser extensions, and #220 of 342 in Audio.

Users · 2026-08

60+87.5%

Rating

Overall Rank (9,793)

#4,988

Audio Rank

#220/ 342

What is Splittr

Product Overview

Splittr is an entertainment extension that uses AI to separate any YouTube video into individual stems, covering vocals, drums, bass, and other instruments, with all processing done locally on the user's device. Separation runs on Meta's HTDemucs neural network accelerated by WebGPU, falling back to WASM on the CPU for older hardware, and no audio is ever uploaded to a server; the only network request is the one-time 172 MB model download from Hugging Face, cached permanently afterward. The extension also detects the musical key of any track with Camelot notation for mixing reference, measures tempo through multi-band spectral flux analysis, and adds real-time pitch transposition in semitones plus BPM adjustment that changes speed while preserving pitch. Each stem can be muted or soloed in any combination during playback.

Key Features6 items

01Four-stem AI separation of YouTube audio powered by HTDemucs
02Fully local WebGPU processing with WASM CPU fallback
03Automatic key detection with Camelot notation
04Automatic BPM detection via multi-band spectral flux analysis
05Real-time transpose and tempo adjustment without pitch artifacts
06Stem toggle for muting or soloing vocals, drums, bass, and other

Show full Chrome Web Store description▾

AI Stem Separator for YouTube — Vocals, Drums, Bass, Other. 100% Local, WebGPU Powered. Splittr uses AI to separate any YouTube video into individual stems — vocals, drums, bass, and other instruments — all processed locally on your device.

FEATURES

4-Stem AI Separation: Powered by Meta's HTDemucs neural network, Splittr isolates vocals, drums, bass, and other instruments with high accuracy.

100% Local Processing: All AI inference runs on your device using WebGPU (GPU-accelerated) or WASM (CPU fallback). No audio is ever uploaded to any server.

Automatic Key Detection: Identifies the musical key of any track with Camelot notation for easy mixing reference.

Automatic BPM Detection: Accurate tempo detection using multi-band spectral flux analysis with perceptual weighting.

Real-Time Transpose: Pitch-shift playback up or down in semitones without affecting tempo.

BPM Adjustment: Speed up or slow down playback while maintaining pitch.

Stem Toggle: Mute or solo any combination of vocals, drums, bass, and other instruments.

HOW IT WORKS

Navigate to any YouTube video The Splittr button appears in the bottom-right corner Click "Separate Stems" to start AI processing On first use, a 172 MB AI model is downloaded and cached locally Processing takes 30-90 seconds depending on your hardware Toggle individual stems on/off and adjust pitch or tempo freely

REQUIREMENTS

Chrome browser with WebGPU support (Chrome 113+) for GPU acceleration Falls back to WASM (CPU) on older hardware ~200 MB of storage for the AI model (downloaded once, cached permanently)

PRIVACY

Your audio never leaves your device. Splittr performs all AI processing locally using your GPU or CPU. The only network request is the one-time AI model download from Hugging Face. No analytics, no tracking, no data collection.