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Level narration and podcast files to a consistent loudness with ffmpeg-normalize
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What this guide covers
For people preparing spoken-word recordings who want consistent loudness. You end with a way to match one recording to the podcast level and to shift a set of chapters together while keeping their relative loudness. It is based on the project README and official options page and was not run; no loudness was measured.
More about this guide
Guide ID: art_01M6W13HX2HP6Y3NGRCN8XH42J
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Guide title
Level narration and podcast files to a consistent loudness with ffmpeg-normalize
Coverage
For people preparing spoken-word recordings who want consistent loudness. You end with a way to match one recording to the podcast level and to shift a set of chapters together while keeping their relative loudness. It is based on the project README and official options page and was not run; no loudness was measured.
Example
A hypothetical single chapter normalised with the podcast preset, then three chapters as one batch to an average RMS target with a before-and-after table; not run.
Useful starting points
- Processing chapters as one batch keeps their relative loudness; normalising them one by one makes each file hit the target on its own.
- Files already near the target can be left unchanged, and an option stops quiet files being made louder.
- Use a recent ffmpeg and Python 3.10 or newer; from version 1.41.0 the output codec follows the container.
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