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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 Clinic

Drop your AI-generated audio here or click to browse

MP3, WAV, FLAC, OGG, M4A · Up to 15 minutes

Private — processed on your device, never uploaded

How to Fix AI Audio

  1. 1 Upload any AI-generated audio — MP3, WAV, FLAC, OGG, or M4A. Supports Suno, Udio, Stable Audio, MusicGen, and others.
  2. 2 Toggle Brighten, Punch, and Clean to fix specific artifacts. Preview with real-time A/B comparison against the original.
  3. 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?
Fix AI Audio works with output from any AI music generator — Suno, Udio, Stable Audio, MusicGen, and others. The repair targets common AI artifacts regardless of which model produced the audio.
Why do Suno and Udio tracks sound muffled or metallic?
AI music generators decode audio from a compressed latent representation. Most current models — Suno v3, Udio v1.5, Stable Audio 2 — operate at limited internal sample rates and roll off frequencies above ~14 kHz aggressively. Their decoders also introduce phase-incoherent texture in the upper midrange that producers call 'AI sheen' or metallic warble. Brighten rebuilds the missing top end through harmonic regeneration; AI Deep Repair via Cloud Assist runs a larger neural model that learns to invert these decoder artifacts directly.
What kinds of artifacts does it fix?
The most common AI audio artifacts: metallic warble, muffled or rolled-off high frequencies, missing transient snap on drums, background hiss, and spectral holes. AI Deep Repair via Cloud Assist also addresses heavy clipping, stereo image collapse, and phase artifacts that the instant modules can only partially address.
What's the difference between Brighten, Punch, Clean, and AI Deep Repair?
Brighten, Punch, and Clean are signal-processing modules — fast EQ shelves, transient designers, and spectral gates that run instantly on your device. They're calibrated for the most common AI artifact patterns and fix tracks that are 70-80% there. AI Deep Repair via Cloud Assist runs a much larger neural model trained on AI-generated music specifically; it addresses heavier damage like stereo collapse, harsh clipping, and frequency holes the simple processors can't fill. Start with the instant modules; reach for AI Deep Repair when the track still sounds wrong after.
How is this different from the Audio Enhancer?
Fix AI Audio is tuned specifically for AI-generated music — the Brighten, Punch, and Clean modules are calibrated for artifacts typical of neural network audio generation. The Audio Enhancer targets general-purpose repair for any audio source, including human-recorded material with different artifact profiles.
Is my audio uploaded to a server?
The instant repair (Brighten, Punch, Clean) runs entirely on your device — files never leave your machine. AI Deep Repair uses Cloud Assist — your file is processed securely and immediately deleted after.
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.

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