Match volume across songs

Loudness matching measures the integrated loudness of each track in a batch and applies a single gain offset so every file lands on the same perceived-loudness target. It relies on LUFS (Loudness Units Full Scale), a K-weighted measurement that models how the ear actually hears level, rather than raw sample peaks or a flat RMS average. This matters for Suno output because every generation renders at its own internal loudness, so a folder of AI songs can easily swing several LUFS from one track to the next.

You reach for a volume matcher when you're assembling those songs into something meant to be played back to back — an EP, an album, a long mix, or a playlist — and you don't want listeners riding the volume knob between tracks. Matching to a shared target keeps the set cohesive and puts the relative balance in your hands. Streaming services apply their own playback normalization on top, so matching first sets the intended relationship between your songs instead of leaving each platform's algorithm to sort it out.