據 AlphaMoat 統計,截至 2026-09,Chrome 外掛 Splittr 使用者數為 87,環比 +45%,在全部 9,324 款 AI 瀏覽器外掛中排名第 4,437 位,在「音訊」分類(333 款)中排名第 200 位。
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.
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+ 對比資料月份:2026-09 · 使用者數與評分來自 Chrome 應用商店公開資料,按月聚合更新。口徑說明見資料方法。