audio-editing-automation

What problem does it solve?

This Skill automates repetitive audio editing tasks using FFmpeg, enabling batch processing, normalization, and mixing for large-scale audio production workflows. It helps you process audio efficiently, saving significant time and effort in post-production.

Core Features & Use Cases

• FFmpeg Audio Operations: Extract audio, convert formats, normalize volume, and mix multiple tracks with powerful command-line tools.
• Batch Processing: Automate editing across multiple audio files with Python scripts for scalable workflows.
• Audio Quality Standards: Apply industry-specific loudness and format standards for podcasts, audiobooks, and video platforms.
• Automated Production Pipeline: Design end-to-end workflows for voice normalization, music mixing, and platform-specific exports.

Quick Start

Automate the process of normalizing a batch of MP3 files to -16 LUFS and then mixing each with a background music track, ensuring the voice is prominent.