ToolCabana

Audio volume normalizer

Estimate and adjust audio loudness.

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Audio volume normalizer

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Sida loo isticmaalo Audio volume normalizer

The audio volume normalizer measures a recording's loudness and adjusts it toward a target of -16 LUFS integrated loudness, with a -1.5 dB true-peak ceiling and a loudness range of 11. It uses FFmpeg's loudnorm filter in one pass and exports an MP3 at 128, 192, 256 or 320 kbps.

  1. Choose a source file. If the tool accepts multiple files, arrange them in the order you want.
  2. Set mp3 bitrate (kbps).
  3. Run audio volume normalizer, review the output, then use the available copy or download controls.

Waxa qalabkani taageero

Estimate and adjust audio loudness.

MP3 bitrate (kbps)
128 · 192 · 256 · 320

Xadka iyo habaynta

Media input is bounded to 50 MB per file and 100 MB combined. WebAssembly conversions have a 180-second limit and may require substantial browser memory.

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A handy tool for every little task.

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What loudness level does the audio normalizer target?

It applies FFmpeg loudnorm with I=-16, TP=-1.5 and LRA=11, meaning an integrated loudness of -16 LUFS, a true-peak limit of -1.5 dB and a loudness range target of 11. These values are fixed in the tool.

Is the normalizer one-pass or two-pass?

One-pass. The loudness is estimated while processing, so results can differ slightly from a two-pass measurement. The tool's notice points this out and suggests checking playback and keeping the original file.

Can I normalize a WAV and keep it as WAV?

No. The normalized result is always encoded as an MP3 named normalized.mp3, using the bitrate you choose, with 192 kbps as the default. Video streams in the source are dropped.

Where is my input processed?

This operation processes its source in your browser. Copy and download are explicit actions; source input is not saved in an account or history.

What are the input limits?

Media input is bounded to 50 MB per file and 100 MB combined. WebAssembly conversions have a 180-second limit and may require substantial browser memory.