Summary

This AI audio restoration checker asks three questions, your noise type, your source quality, and how severe the damage is, then returns a realistic recovery score plus the exact processing chain, de-hum, de-click, spectral denoise, de-reverb, to run in your own DAW or restoration plugin. It runs entirely in your browser, nothing uploads, and it will not pretend heavy background chatter is as fixable as a 50Hz hum. Use it before you open iZotope RX, Adobe Podcast, or your DAW's stock tools, so you know what to expect.

Check What AI Audio Restoration Can Actually Fix

Tell the checker what is wrong with your file, where it came from, and how bad it is. Get a realistic AI audio restoration score and the exact processing chain to run, before you touch a single plugin.

Run the checker

AI audio restoration expectation checker

Pick the noise type, the source it came from, and how severe it is. The score and the recommended chain update as you move the controls.

Realistic recovery score 92 / 100

Chain to run:

How it works

How the AI audio restoration score is built

Tell it what's wrong

Pick the noise type, where the file came from, and how severe it is. Three inputs, no file upload, nothing leaves your browser.

Get a realistic ceiling

The score reflects what denoise, de-hum, de-click, and de-reverb algorithms can actually recover for that noise type, not a marketing number. Background chatter scores low on purpose: overlapping voices are still the hardest problem in audio restoration.

Walk away with a chain

The result names the processing steps to run in your own DAW or restoration tool, iZotope RX, Adobe Podcast, or your DAW's stock plugins, plus a one-line caveat for your use case: stream VOD, podcast master, or sample chop. No sign-up, no upload, and no promise that a browser tool can process real audio for you.

Before you dial anything in

Headphones on before you commit to a chain

Run the checker first, then confirm the recommendation by ear on real headphones. A 92 recovery score on paper still needs a listen: hum and hiss removal is close to automatic, but de-reverb and de-clip passes can leave audible artifacts that only your ears will catch. Switch between the treated and untreated section on loop, at a low volume first, then at the level your listeners will actually use, before you commit to the final export.

Open-back studio headphones and a USB audio interface on a desk, used to check an audio restoration pass by ear before exporting

Common questions about AI audio restoration

Does this tool actually clean my audio file?
No. It never touches your file. It is a diagnostic: you describe the noise, and it tells you what a real restoration pass can realistically achieve and which plugin category to reach for.
Where do the recovery scores come from?
From how each noise type behaves under spectral processing. Steady, periodic noise like mains hum or tape hiss is well understood and highly treatable. Non-stationary noise like overlapping crowd chatter still defeats most denoise engines, so it scores low on purpose.
Why does background chatter always score low?
Because it overlaps the same frequency range as the voice or instrument you want to keep. Removing one voice from another, without training data specific to that exact recording, is still an unsolved problem in general-purpose restoration tools.
Is this free?
Yes. The checker runs entirely in your browser. There is no sign-up and no file ever leaves your device.
Does this replace iZotope RX or similar restoration software?
No. It is a planning step before you open one. It tells you which module to reach for, de-hum, de-click, spectral denoise, de-reverb, and sets your expectations before you spend an hour dialing in settings.
My file has more than one problem, hum and clipping for example. What do I do?
Run the checker once per problem, worst noise type first. Fix in order of severity: notch the hum, then address the clipping. Stacking every fix into a single pass usually causes more damage than treating each issue in sequence.
I stream on Twitch. Does this help with DMCA?
No, restoration and DMCA are unrelated. This tool is about noise, not licensing. If you want royalty-free music that never triggers a claim, that is a different problem: check synth.stream instead.
What counts as a realistic score versus an unrealistic one?
A realistic score respects physics: periodic, predictable noise (hum, tape hiss) is close to fully separable from the signal, so it scores high even at heavy severity. Noise that shares the same frequency band and timing as the wanted signal (overlapping chatter, heavy reverb tails) cannot be cleanly separated with a single generic pass, so the ceiling stays low no matter how good the plugin's marketing sounds.

Need clean audio without a restoration pass?

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