Your Suno track sounds muffled and quiet. Here is the fix.

AI tracks come out dull and small next to real releases. Each generator version leaves its own signature. The top of the spectrum gets cut off, so the air is gone. The upper range turns hazy. The low mids pile up and sound boxy. And the whole thing lands well under the loudness Spotify expects. Burnish measures exactly what your file is missing, repairs only what it actually finds, then masters to streaming loudness. You hear the whole result, start to finish, before you pay a cent.

Hear the difference first. Pick a genre, then flip between the raw AI export and the Burnish master:

Is your track AI degraded? Check it free.

Tap to pick your Suno or Udio export, or drop it here. WAV, MP3 or FLAC, straight from Files or iCloud Drive. In about a minute you see your track's cutoff, haze, mud, loudness, and true peak, measured on your file, not assumed from a spec sheet.

On a phone? Burnish for iPhone and iPad runs the same repair on the device, offline, and the first master is free.

Suno counts your downloads now. Pro gets 20 a month, and the ones you do not use are gone at the end of it. Downloading the same song again, or taking its stems, does not use another one (Suno's help page, read September 29, 2026). So repair the take you already downloaded before you spend a download on a regenerate.

Then you hear the full repaired master before you decide anything. Downloads are one credit, $5 a track, and yours to keep. See pricing.

What the repair does

Brings back the top end. Generators stop rendering high frequencies, and where they stop shifts from version to version. Burnish rebuilds a believable top octave from your track's own harmonics, so the air and sparkle that were never rendered come back. It runs oversampled, so it stays clean.
Clears the haze. Generation smears the upper range into a diffuse blur. A gentle corrective shelf tames it, so vocals and hats sound focused instead of smeary.
Cuts the mud. Generators pile up energy in the low mids, which makes a track feel boxy and cheap. A measured dip clears it, only as much as your track needs.
Then masters it. A genre profile, true peak held safe, loudness taken to your target, and the whole recipe printed on the report. Every move is measured, and Burnish only applies what it actually detects.

This is honest DSP, not a preset and not detection evasion. Burnish makes AI tracks genuinely sound finished, and the measured before and after report is yours to show anyone, including your distributor.

On Suno v6, released September 2026, reports are mixed: some exports have cleaner vocals, others sound duller up top than v5.5 did. The top-end cutoff has not gone away. On some v6 takes it shows up as a softer rolloff instead of a hard edge. Burnish measures the actual shape on your file rather than assuming which version made it. See Suno v6 sounds dull? How to bring the top end back.

Comparing a specific service? See Burnish vs LANDR, vs Neural Analog, or vs free Suno fixers.