Upload a reference + your Suno track. FFT analysis computes the spectral gap, applies 9-band EQ correction. Makes your AI music match commercial tone. No upload, no login.
The tool runs FFT analysis (8192-point DFT) on both tracks and computes the average energy difference per octave band.
Upload reference
Drop any commercially mastered song in the same genre as your track. The tool analyses the middle 10 seconds to avoid fades.
Upload your track
Drop your Suno, Udio, or any mix. The tool analyses the same window and computes the spectral difference.
Read the correction curve
The bar chart shows you exactly where your track is too bright, too dark, or too muddy compared to the reference — per octave band from 63Hz to 16kHz.
Export matched WAV
Click Export to apply the EQ correction and download a tonal-matched WAV ready for final mastering.
Technical note: the tool analyses 9 octave bands (63Hz–16kHz), averages magnitude across 8 FFT frames, computes the dB difference per band, clamps corrections to ±12dB, and applies a 9-band peaking EQ via OfflineAudioContext. All processing is browser-local — no audio is uploaded.
Reference matching (also called spectral matching or tonal matching) is the process of analyzing the frequency balance of a commercial reference track and applying EQ corrections to your own track so that its tonal balance is similar. Professional mastering engineers do this by ear — they compare their master against a known good commercial track and adjust. This tool automates that process using FFT analysis: it computes the average energy per octave band for both tracks and derives an EQ correction curve.
Use a commercially mastered song in the same genre as your Suno track. Download a high-quality version (320kbps MP3 or lossless WAV from a streaming service). The tool analyzes the middle portion of both tracks to avoid fade-ins and fade-outs. Good references: for hip-hop use a current chart track, for pop use a recent hit in the same key as your track, for electronic use a mastered version from the same sub-genre. Avoid using live recordings or unmastered tracks as references.
The tool computes 9 octave-band averages and applies peaking EQ corrections, which provides a coarse tonal match — good for getting your track into the same general frequency ballpark as the reference. It won't produce an exact match (that would require hundreds of narrowband filters) but it corrects the major tonal imbalances. Think of it as a 'ballpark EQ' rather than a precise spectral clone. After applying the correction, run your track through the full mastering chain for best results.
Reference match before mastering. The workflow is: Suno export → cleanup tools (Audio Fixer, Clarity, Vocal Fix) → Reference Match → MixMasterAI mastering → download. Applying the tonal correction before mastering gives the mastering engine a more balanced starting point. If you master first and then reference match, you may undo some of what the mastering did. Exception: if you're using a mastered commercial track as your reference, you'll get better results matching against an unmastered version of your cleaned track.
Complete Suno cleanup workflow
Suno Clarity Tool
Fix 200–400Hz mud before running reference match.
Suno Vocal Fix
Remove AI vocal buzz with formant EQ.
Free AI Mastering
Master your reference-matched track to streaming spec.
Loudness Checker
Verify LUFS before final upload.
Best order: Suno Audio Fixer → Suno Clarity → Suno Vocal Fix → Reference Match → Free AI Mastering