Normalize loudness across podcast, lesson, or video batches before publishing

Uses ffmpeg-normalize to batch-normalize audio levels so an agent can hand off consistent output without opening a DAW or touching every file by hand. It fits pipelines that need EBU R128, RMS, or peak targets across mixed media before delivery.

Prerequisites

ffmpeg plus a Python or uv environment

Installation

Requirements and caveats from upstream:

• 
• 
• Docker support — Run via Docker container

Basic usage or getting-started notes:

• 🚀 Quick Start

• Run pip3 install ffmpeg-normalize and ffmpeg-normalize /path/to/your/file.mp4, alternatively install uv and run uvx ffmpeg-normalize /path/to/your/file.mp4

• Example:

• Source: https://github.com/slhck/ffmpeg-normalize

• Extracted from upstream docs: https://raw.githubusercontent.com/slhck/ffmpeg-normalize/HEAD/README.md

Documentation

• https://slhck.info/ffmpeg-normalize/

Source

• Agent Skill Exchange