Normalize Audio Loudness (LUFS)

Recordings that are too quiet, too loud or wildly uneven need consistent loudness. This tool normalizes your audio to a target LUFS level for podcasts, YouTube or broadcast.

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Drop an audio or video file here

or

MP3, WAV, M4A, FLAC, OGG, AAC, MP4, MOV

Cleaning your audio…

Before

Tip: press the space bar to toggle Before / After.


How it works

We measure your audio against the EBU R128 loudness standard and apply gain so the integrated loudness hits your target (default −16 LUFS), with true-peak limiting so nothing clips.

What it's good for

  • Podcast episode mastering
  • YouTube and social uploads
  • Evening-out interview levels
  • Meeting batch-leveling

Details

Engine
DSP
Formats
MP3, WAV, M4A, FLAC, OGG, AAC, MP4, MOV
Price
Free to try

Frequently asked questions

−16 LUFS suits podcasts and most streaming; −14 LUFS matches many music platforms; −23 LUFS is broadcast. The default −16 is a safe all-rounder.

No. Simple volume scaling can clip or leave loudness uneven. LUFS normalization measures perceived loudness over the whole file and limits true peaks, so it's consistent and safe.

Loudness normalization adjusts overall level, not heavy compression, so your dynamics are preserved while the average loudness is corrected.

No - unlike the AI restore tools, this is pure DSP: it measures loudness and applies gain plus true-peak limiting. Your voice, noise and detail are untouched, only the level changes, so there are no generative artifacts.

YouTube targets around -14 LUFS and will turn down louder uploads, so normalizing to -14 to -16 LUFS avoids surprise level changes; the tool also processes the audio inside MP4 and MOV files.

True-peak limiting catches inter-sample peaks that ordinary peak meters miss, preventing the clipping and distortion that can appear after lossy encoding. It is applied automatically so a normalized-up file stays clean.

Denoise, de-ess and edit first, then normalize last as a final mastering step, so the loudness measurement reflects your finished audio rather than noise you are about to remove.

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