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Sunomusic

Complete Guide to Using Suno Vocal & Instrument Stem Separation

Cleanly separate vocals from instruments with professional-grade stem isolation.

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Overview

Suno Vocal & Instrument Stem Separation uses advanced source separation technology to split an audio track into its individual components: vocals, drums, bass, and other instruments. Each stem is output as a separate clean audio file that can be used independently.

The separation quality rivals dedicated professional tools. Vocal isolation is particularly strong, producing clean vocal tracks with minimal instrumental bleed and clean instrumental tracks with minimal vocal artifacts. This makes the stems immediately usable in production workflows.

This model is essential for remix work, karaoke creation, sampling, and any workflow where you need access to individual elements of a mixed track. It pairs powerfully with other Suno models -- isolate vocals to analyze them with Timestamped Lyrics, or extract the instrumental to add new vocals with Add Vocals.

Capabilities

  • Separates audio into vocal and instrumental stems
  • Produces clean isolated vocals with minimal instrumental bleed
  • Extracts individual instrument groups (drums, bass, other)
  • Handles complex mixes with overlapping frequency content
  • Outputs production-ready stems for remixing and sampling
  • Works with various audio formats and quality levels

Use Cases

1

Creating karaoke versions by removing vocals from songs

2

Isolating vocal tracks for remixing or sampling in new productions

3

Extracting instrumentals for use as background music in videos

4

Preparing clean stems for the video editor's audio visualization features

5

Isolating vocals before running timestamped lyric extraction for better accuracy

Input Parameters

Task ID
textrequired

ID of the original music-generation task.

Audio ID
textrequired

Specific audio variation to process.

Separation Type
selectrequired

separate_vocal = 2 stems, split_stem = up to 12 stems.

Options
Vocal SeparationMulti-Stem Separation
Default: separate_vocal

Tips & Best Practices

Use high-quality source audio
Chain with other models
Check both stems

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