Normalize audio
Upload an audio file and raise its volume so the loudest peak sits just under full scale. The file is read twice: once to measure, once to scale.
Upload an audio file and raise its volume so the loudest peak sits just under full scale. The file is read twice: once to measure, once to scale.
The tool scans your file for its loudest peak, then raises the whole recording so that peak sits just below full scale. You get the maximum clean volume the recording allows, with zero clipping, because the gain is calculated rather than guessed.
This is peak normalization: it matches maximum levels, not perceived loudness. Two files normalized to the same peak can still feel different in loudness if their dynamics differ.
Quiet voice memos and interview recordings before sharing or transcription, lecture audio recorded from the back of the room, and collections of clips that need a consistent maximum level before merging into one file.
One brief loud peak caps how far normalization can raise the rest. Trimming that spike first, or using a fixed boost and accepting slight clipping, gets you further.
The gain itself is clean. Lossy formats pay the usual small re-encode cost, which for voice content is inaudible.
Yes, the analysis and gain all happen locally in your browser.