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Sorinel Stems

Our in-house AI model for audio stem separation. Splits any track into vocals, drums, bass and other — running 100% on-device on Apple Silicon.

Base
Platter
Tonearm
PLAY
Preview Model
0:00 / 0:00
1 Model
~5.5x
44.1kHz
4 Stems

Meet SorinelStems

A proprietary neural network family for music stem separation.

SDR — Distortion
SIR — Interference
SAR — Artifacts
11.31DRUMS
9.50BASS
5.05OTHER
9.46VOCALS
8.83AVG
SDR
20.07DRUMS
16.32BASS
13.51OTHER
19.39VOCALS
17.33AVG
SIR
12.43DRUMS
10.72BASS
5.91OTHER
10.18VOCALS
9.81AVG
SAR
Separation Quality (dB)
Per-stem reconstruction quality measured on an internal held-out validation set. SDR reflects overall separation; SIR measures clarity between stems; SAR measures reconstruction smoothness. Higher is better. Results naturally vary with genre, mix complexity, and source audio quality.
Tests performed on 4 AI-generated songs from 2026.
100% on-device
Apple Silicon
~5.5× realtime on MPS
Integrated in: