Fix AI Audio — Repair AI-Generated Music
Your Suno and Udio tracks deserve better. The Brizm Clinic removes metallic artifacts, restores dynamics, and rebuilds missing frequencies.
🏥 Brizm ClinicDrop your AI-generated audio here or click to browse
MP3, WAV, FLAC, OGG, M4A · Up to 15 minutes
Analyzing audio...
Restores high frequencies AI generators roll off
Restores transient snap AI drums often lack
Removes background noise some AI generators add
AI Deep Repair — ML-powered restoration for AI-generated music
Fixes metallic warble, heavy clipping, muffled audio, stereo artifacts, and spectral holes. Goes far beyond what Brighten, Punch, and Clean can do alone.
Processing via Cloud Assist...
How to Fix AI Audio
- 1 Upload any AI-generated audio — MP3, WAV, FLAC, OGG, or M4A. Supports Suno, Udio, Stable Audio, MusicGen, and others.
- 2 Toggle Brighten, Punch, and Clean to fix specific artifacts. Preview with real-time A/B comparison against the original.
- 3 Export as WAV or MP3. Instant repair runs on your device. For deeper artifact removal, use AI Deep Repair via Cloud Assist.
Frequently Asked Questions
Which AI music generators does this support?
Why do Suno and Udio tracks sound muffled or metallic?
What kinds of artifacts does it fix?
What's the difference between Brighten, Punch, Clean, and AI Deep Repair?
How is this different from the Audio Enhancer?
Is my audio uploaded to a server?
Why AI-generated music has these artifacts
Latent-space decoding leaves fingerprints
Modern AI music generators — Suno, Udio, Stable Audio, MusicGen — do not produce audio samples directly. They produce a compressed sequence of tokens or latent vectors that a neural decoder maps back to waveform. The decoder is the source of most artifacts you hear. To stay tractable at training scale, decoders are typically built on top of neural audio codecs like EnCodec or Descript Audio Codec; these codecs are themselves lossy, designed to squeeze a 44.1 kHz stereo signal into a few kilobits per second. The codec throws away high-frequency detail above roughly 14 kHz, smears phase information in the upper midrange, and collapses subtle stereo cues that don't survive the compression.
This is why the same flavour of artifact shows up across vendors. The dull, slightly hazy top end ("AI sheen"). The metallic ringing on sustained vocals. The brittle, slappy quality on AI-generated cymbals and hi-hats. The narrow stereo image even on supposedly stereo output. These are not Suno bugs or Udio bugs — they are properties of the codec layer that almost every commercial generator currently sits on.
Why old-school mastering plugins fail here
Standard mastering chains assume the input is a clean human recording that needs polishing — a high-shelf for air, a bus compressor for glue, a limiter for level. Pointed at AI-generated audio they amplify the artifacts rather than mask them. A high-shelf above 12 kHz pushes up codec ringing instead of restoring real top end. A wideband compressor squashes the already-collapsed transients further. Stereo wideners on a mono-collapsed image just add comb-filter colour. Fix AI Audio inverts that logic: it identifies the specific frequency bands and time-domain signatures of decoder artifacts and treats them, instead of treating everything uniformly. If you still want to master the cleaned-up file afterwards, send it through Auto Master next.
How Brizm fixes each AI artifact category
Brighten — harmonic regeneration above 14 kHz
The decoder rolls off content above roughly 14 kHz hard. A plain high-shelf can't put it back because the energy is gone. Brighten generates new high-frequency content from the harmonic structure of the existing mid frequencies — saturating, filtering, and mixing in synthesised content that matches the timbre of the source. The result is air and presence that wasn't in the input file. Move the slider gently; over-driving the regenerator introduces its own brittleness.
Punch — transient restoration on AI drums
AI drum kits sound slappy because the codec smears the initial transient. Punch is a transient designer that detects the attack envelope on percussive content and rebuilds the leading edge. Kicks regain weight, snares regain crack, hi-hats stop sounding like static. It is calibrated for the specific transient profile of AI percussion, which differs from sampled-drum profiles by having a slower-decaying transient skirt.
Clean — spectral gate tuned to AI noise floor
Most AI tracks ship with a faint background bed of broadband noise — partly from the codec quantisation, partly from the generation process. A standard noise gate misses it because the noise is non-stationary. Clean runs a learned spectral gate that adapts to the AI-specific noise floor and suppresses it without affecting musical content. Use it when the silence between phrases sounds slightly fizzy.
AI Deep Repair — heavier damage via Cloud Assist
When the codec damage is severe — heavy clipping, hard stereo collapse, audible holes in the spectrum — the on-device modules can only do so much. AI Deep Repair sends the file to Cloud Assist and runs a much larger neural model trained on paired clean and AI-degraded music. It addresses problems that need full-track context: rebuilding stereo width from buried cues, restoring clipped peaks by extrapolating waveform shape, filling in spectral gaps with statistically plausible content. Files are processed and immediately deleted. For broader audio repair beyond AI-specific issues, browse the audio repair toolkit.