Isolate the sounds you need with SAM Audio workflows

Prompt packs, troubleshooting, and step-by-step playbooks for real editing tasks: isolate dialogue, extract sound effects, and rebuild a clean mix faster.

Isolate dialogueExtract SFXRemove background noiseSegment by time spanReduce leakageExport clean stems

What you can do on this site

This isn’t just a link list. It’s a practical toolkit: reusable prompts, a “fix bad results” playbook, and guides you can follow while editing.

Prompt packs
Copy-paste prompts for dialogue, SFX, ambience, music
Simple rules to reduce overfitting and artifacts
Troubleshooting
Fix leakage (other sounds bleeding through)
Fix watery/robotic artifacts
Guided workflows
How to segment by time span and iterate quickly
Export/QA checklist for cleaner deliverables
What we’re building
Integrated tools on sam-audio.net (no tab hopping)
Saved prompt templates and reusable presets

How SAM Audio “segments” and separates audio

Think of it as an interactive way to extract sounds from a mixed track. You provide a prompt, the model isolates the target sound, and you iterate until it’s clean enough for editing.

Prompt modes
Text prompt: describe the sound (“footsteps”, “applause”, “female speech”).
Span prompt: mark a time segment where the target occurs.
Visual prompt: (when available) select/mark regions that correspond to the target sound.
Good starting prompts
“footsteps”
“crowd cheering”
“snare drum”
“car engine”
“bird chirping”

How to use the Segment Audio demo

Use this loop in any promptable separation tool: prompt → preview → refine → export.

Open the official Segment Audio demo.
Upload an audio clip (or use a sample).
Pick a prompt mode (text / span / visual).
Run separation and listen to the isolated output.
Refine the prompt (more specific words or tighter time span).
Download/export the isolated track into your editor.

Official media (videos + covers)

Below are official SAM Audio clips from Meta’s public posts (linked directly to the source host).

SAM Audio overview
Official header clip from Meta
Text prompts
Watch: text prompts prompts
Visual prompts
Watch: visual prompts prompts
Span prompts
Watch: span prompts prompts

Common use cases

Practical ways people search for “segment audio” and “isolate audio”.

Creators
Isolate speech from background music
Extract sound effects (footsteps, ambience)
Separate audio layers for cleaner edits
Builders
Prototype promptable audio editing apps
Build interactive “segment sound” interfaces
Benchmark separation quality across domains

FAQ

What is SAM Audio?

SAM Audio is a unified multimodal model for audio separation that aims to isolate a target sound from complex mixtures using text, visual, or span prompts.

What does “segment audio” mean?

Segment audio means selecting (or prompting for) the parts of an audio clip that correspond to a specific sound event, then separating that sound into its own track.

Can SAM Audio isolate any sound?

It’s designed for broad “any sound” targeting, but results depend on the audio quality, overlap, and how clearly the target sound is described or selected.

How do text prompts work for audio separation?

You describe the sound you want (e.g., “footsteps”, “female speech”, “applause”), and the model attempts to extract that sound from the mix.

What are text, visual, and span prompts?

Text prompts describe the sound in words, span prompts specify a time segment, and visual prompts (when available) let you mark regions that correspond to the target sound.

How is SAM Audio different from Demucs or Spleeter?

Classic tools often focus on fixed stems (like vocals/instrumentals). SAM Audio is positioned around promptable, multimodal targeting and interactive editing workflows.

Is there an official demo to try?

Yes—Meta hosts an interactive “Segment Audio” demo where you can experiment with prompts and listen to extracted results.

Official resources

Primary sources for SAM Audio announcements and the official demo.

Disclaimer: not affiliated with Meta. We link to official SAM Audio resources and demos while building integrated features on this site. All trademarks belong to their respective owners.