Data-driven audio analysis and AI music guides. We measure it so you don't have to guess.
A real Suno track had 572 sub-frame codec clicks, almost all concentrated in a single channel. No conventional mastering tool could touch them. Here is what the artifacts look like at the sample level, why STFT-based repair hits a hard wall below 5 ms, and how Pro Master's new waveform editor fixes them with a mouse wheel.
Getting StartedYour Suno track sounds great on headphones. But something changes when you upload it to Spotify. Here's what's happening, why AI audio needs mastering more than recorded music, and a step-by-step walkthrough of how to do it right.
Guide 4Suno doesn't read your prompt. It predicts from it. Learn how token weighting, seed files, slider thresholds, and producer tags give you real control over AI music generation.
Guide 3We measured 15 audio metrics across 5 genres to find out what v5.5 actually changed. The answer involves genre-adaptive intelligence, not just cleaner audio.
Guide 2Shimmer, fog, presence holes, bass anomalies. We ran spectral analysis on AI-generated tracks to identify exactly what makes them sound "off." A deep dive into the five measurable problems hiding in every AI track.
Guide 1AI music generators like Suno and Udio create impressive tracks, but the raw output has consistent audio problems. Here's what's actually wrong and a step-by-step walkthrough of how proper mastering fixes it.