Normalize audio loudness using Peak, RMS, or LUFS standards. Apply streaming presets (-14 LUFS for Spotify/YouTube), broadcast (-23 LUFS), or CD mastering levels. Visual loudness meter included.
Audio files recorded at different times or on different devices often have wildly inconsistent volume levels. The Volume Normalizer analyzes your file and adjusts gain so the loudness lands at a consistent target. You can normalize to a peak level or use perceived-loudness normalization for more natural results across varied content.
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A playlist of clips recorded on different devices is jarringly loud then quiet.
Input
clip set · target −16 LUFS (podcast standard)
Output
All clips matched to −16 LUFS integrated loudness, true-peak safe
Loudness normalisation targets perceived volume (LUFS), not raw peaks, so clips sound equally loud to the ear, the standard podcast platforms expect. True-peak limiting prevents the clipping a naive gain boost would cause.
Audio files recorded at different times or on different devices often have wildly inconsistent volume levels. The Volume Normalizer analyzes your file and adjusts gain so the loudness lands at a consistent target. You can normalize to a peak level or use perceived-loudness normalization for more natural results across varied content.
Bring all speakers to a uniform loudness so listeners do not have to adjust volume between segments.
Normalize a collection of tracks from various albums so playback volume stays even in a playlist.
Meet platform loudness targets before uploading to streaming services or social media.
Peak normalization adjusts gain so the loudest sample hits a target ceiling. Loudness normalization uses perceptual models to match average perceived volume, which handles dynamic content more naturally.
Loudness normalization can push peaks above 0 dBFS if the audio has a wide dynamic range. Use a limiter or leave headroom to avoid clipping.
It applies a uniform gain change across all samples. No frequency content is altered, so quality is effectively preserved.
Audio is decoded and processed locally with the Web Audio API. Your files are never uploaded to a server.