Loudnorm

Skill jperrello/C0BALT_CUT/.claude/skills/loudnorm

Normalize audio loudness to broadcast levels using ffmpeg's two-pass loudnorm filter. Measures the input, then applies normalization with the measured parameters. Use as a final-stage audio leveling step.From its SKILL.md

Install

npx -y skills add jperrello/C0BALT_CUT --skill loudnorm

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SKILL.md

1.1 KB, 277 tokens by cl100k_base, as published. Nobody here has run it

loudnorm

ffmpeg two-pass loudnorm. Outputs broadcast-safe audio (default targets: I=-14 LUFS, TP=-1.5 dBTP, LRA=11).

Inputs

input: video or audio path
out: output path
I (optional): integrated loudness target, default -14
TP (optional): true peak target, default -1.5
LRA (optional): loudness range, default 11

Output

Media file with normalized audio. Video stream copied (no re-encode).

How

Measure pass: ffmpeg -i <in> -af loudnorm=I=<I>:TP=<TP>:LRA=<LRA>:print_format=json -f null - → parse the JSON block from stderr.
Apply pass: ffmpeg -i <in> -af loudnorm=I=<I>:TP=<TP>:LRA=<LRA>:measured_I=<>:measured_TP=<>:measured_LRA=<>:measured_thresh=<>:offset=<>:linear=true:print_format=summary -c:v copy <out>.

Status

Stub. Salvageable command construction in archive/pre-pivot:pipeline_v2.py:672-778.

What ships with it: 1 file

1.9 KB alongside SKILL.md, 1 of them executable

loudnorm.shruns1.9 KB