De-Clipper reconstructs flattened waveform peaks. De-Sheener smooths the metallic AI artifact at 2-16 kHz. Both run in your browser — free, instant, no upload.
Also works on Udio, Mureka, and any AI-generated audio file
The Problem
Suno normalizes every output to a target loudness before it reaches you. That internal limiting shaves off transient peaks, creating flat-topped waveforms — a signature of clipped audio. The result is a compressed, slightly distorted sound that gets worse during re-mastering because there is no headroom left to work with.
The Sheen
On top of clipping, Suno's synthesis process introduces a characteristic metallic quality — most audible on vocals, cymbals, and guitar harmonics. It clusters at 2-4.5 kHz (harsh, ringy midrange) and 8-16 kHz (an artificial shimmer that sounds "digital" rather than natural). This is not a mix issue — it is baked into the AI output itself.
The Fix
De-Clipper reconstructs the missing transient peaks using cubic Hermite interpolation through every clipped region — recovering the natural waveform shape. De-Sheener runs overlap-add FFT processing that identifies and smooths the spiky artificial spectral peaks in the sheen frequency bands, without touching the musical content underneath.
The De-Clipper scans every audio sample. Where the waveform is flat-topped (clipped at ±0.97 or higher), it marks the region and rebuilds the peak using a cubic Hermite spline — a smooth curve through the two good samples on either side. The result looks like an actual transient instead of a shaved brick wall. You get back dynamic punch and the harshness softens.
Threshold: |sample| ≥ 0.97 · Algorithm: cubic Hermite · Output: peak count in stats panel
De-Sheener uses overlap-add FFT processing (2048-sample frames, 512-sample hops, Hann window). In the frequency domain it identifies bins with abnormally high energy relative to their neighbors — the signature of AI synthesis artifacts — and smooths them by averaging adjacent bins. It then applies a mild gain reduction in the 2-4.5 kHz (metallic) and 8-16 kHz (shimmer) ranges at the chosen strength.
FFT size: 2048 · Hop: 512 · Bands: 2-4.5 kHz + 8-16 kHz · Strength: 0.25 / 0.5 / 0.8
After both passes, the fixed audio is normalized to 0.95 peak — leaving clean headroom for mastering without re-introducing the loudness problem. The stats panel shows clips fixed, peak level reduction, and De-Sheener mode. Download the fixed WAV and optionally run it through MixMasterAI's mastering tool next.
Output: 16-bit WAV · Peak: 0.95 · Processing: 100% in-browser, no upload
| Feature | MixMasterAI | iZotope RX | Audacity | Static EQ |
|---|---|---|---|---|
| Price | Free | $499-$999 | Free | Free (DAW needed) |
| Clipping repair | Cubic Hermite reconstruction | Advanced declip algorithm | Basic clip fix (manual) | None |
| AI sheen removal | Spectral smoothing (FFT) | De-crackle / spectral repair | Manual EQ only | Static notch (blunt) |
| AI music tuned | Yes — targets Suno/Udio bands | No (generic restoration) | No | No |
| Browser-based | Yes — no install, no upload | No — desktop app | No — desktop app | Depends on DAW |
| Processing time | Seconds | Minutes (with manual setup) | Minutes (manual) | Seconds |
| DAW required | No | Yes (or RX standalone) | No | Yes |
Suno vocals often have a nasal, ringy quality in the 2-4 kHz range. De-Sheener smooths the spectral spikes that cause it, leaving the voice intact but cleaner.
AI cymbals tend to accumulate artificial shimmer at 8-16 kHz. The Strong De-Sheener setting reduces this without making the drums feel dull.
Energy peaks on sub-bass drops and snare hits are often the first to clip. De-Clipper reconstructs those transients, recovering the punch that was shaved off.
Run Audio Fixer first to remove clipping artifacts, then run MixMasterAI's mastering tool. More headroom in = better master out.
When importing Suno audio into Ableton or FL Studio for further production, fixing clipping and sheen first gives you a cleaner starting sample to chop, pitch, and process.
For tracks you plan to distribute via DistroKid or TuneCore, the fixer reduces the 'AI-sounding' quality that streaming platform listeners immediately recognize.
Recommended Workflow
The Audio Fixer removes artifacts and recovers headroom. MixMasterAI's mastering tool then shapes loudness, punch, and platform-readiness. Together they take a Suno export from raw AI output to a release-quality track.
Suno's generation pipeline applies heavy internal compression and limiting to normalize output levels. This creates two signature artifacts: clipped peaks (flat-topped waveforms) and a metallic sheen — artificial brightness concentrated in the 2-4.5 kHz and 8-16 kHz ranges. Both are byproducts of aggressive loudness normalization, not the underlying composition.
The De-Clipper identifies every sample region where the audio waveform has been flattened by the limiter — where |sample| is 0.97 or greater. It reconstructs those peaks using cubic Hermite interpolation, restoring the natural transient shape. The stats panel shows exactly how many clipped regions were repaired.
The AI sheen is a metallic, ringy quality most audible on vocals, hi-hats, and cymbals. De-Sheener uses overlap-add FFT (2048 frames, 512 hop, Hann window) to identify spiky artificial peaks in the frequency domain and smooth them using neighboring bin averaging. It then applies a targeted gain reduction at 2-4.5 kHz and 8-16 kHz at the chosen strength without touching the musical content underneath.
Subtle (0.25x) for tracks that are slightly harsh but otherwise sound good. Medium (0.5x) is the right choice for most Suno exports — handles typical AI sheen without dulling the high end. Strong (0.8x) for tracks where the metallic quality is obvious and distracting, especially very loud or heavily processed exports.
Yes. The De-Clipper and De-Sheener work on any audio file. Udio, Mureka, ElevenLabs Music, and other AI generators apply similar internal loudness processing, which creates the same clipping and sheen artifacts. Upload any MP3 or WAV and the fixer processes it.
Yes. Clipped peaks limit how much a mastering compressor can shape dynamics — removing them first gives the mastering chain more headroom to work with. The recommended workflow: Fix Audio first in this tool, then drop the result into MixMasterAI's free mastering tool.
A static EQ cut at 3 kHz reduces all energy in that band, including musical content you want. De-Sheener works in the spectral domain using FFT: it identifies narrowband spiky energy that doesn't match neighboring bins (the artificial artifact) and smooths only those, leaving the underlying musical content intact. It's adaptive, not a static notch.
No. The Suno Audio Fixer runs entirely in your browser using the Web Audio API. Your audio file never leaves your device. No upload, no server, no storage.
Yes. MixMasterAI's De-Clipper uses cubic Hermite interpolation — the same mathematical approach used in professional declipping tools — at no cost, entirely in your browser. Enable the De-Clipper toggle and upload your file. The stats panel shows exactly how many clipped regions were repaired.
iZotope RX ($499-$999) has more algorithms and deeper manual control. MixMasterAI's Suno Audio Fixer is purpose-built for AI music: it targets the specific artifact signatures that Suno and Udio produce, it's free, and it runs in your browser in seconds. For fixing AI music quickly, it beats RX in speed and accessibility. For complex restoration of recorded audio, RX goes deeper.
MP3, WAV, OGG, M4A, FLAC, and any format your browser's Web Audio API can decode. Output is always a 16-bit WAV for maximum DAW compatibility.
Master the track. The fixer removes artifacts and recovers headroom — mastering then shapes final loudness, punch, and platform-readiness. Use MixMasterAI's free mastering tool next: upload the fixed WAV, choose your genre and platform, and download a master-ready MP3 and WAV.
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