ffmpeg-audio-processing

Automate audio encoding, normalization, and enhancement with FFmpeg.

51|10|Updated Oct 22, 2025
One-click install
npx skills add https://github.com/JosiahSiegel/claude-plugin-marketplace --skill ffmpeg-audio-processing
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ffmpeg-audio-processing
Source: https://github.com/JosiahSiegel/claude-plugin-marketplace/tree/main/plugins/ffmpeg-master/skills/ffmpeg-audio-processing
Command: npx skills add https://github.com/JosiahSiegel/claude-plugin-marketplace --skill ffmpeg-audio-processing

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines complex audio manipulation tasks, ensuring professional-grade audio quality, compliance with broadcast standards, and efficient format conversions.

Core Features & Use Cases

  • Audio Encoding & Conversion: Convert between various audio formats (AAC, MP3, Opus, FLAC) with precise bitrate control.
  • Loudness Normalization: Achieve broadcast-compliant loudness levels (EBU R128, Spotify, etc.) using advanced two-pass normalization.
  • Audio Enhancement: Apply filters for noise reduction, equalization, compression, and dynamic range control.
  • Use Case: Process a raw audio recording for a podcast by normalizing its loudness to -16 LUFS, reducing background noise, and exporting it as an AAC file.

Quick Start

Use the ffmpeg-audio-processing skill to convert the file 'input.wav' to 'output.mp3' using the AAC codec at 128kbps.

Frequently Asked Questions about ffmpeg-audio-processing

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I normalize audio loudness to meet broadcast standards?

Audio loudness normalization adjusts overall volume to meet target standards. This Skill automates two-pass FFmpeg normalization to achieve compliant loudness levels for EBU R128 and Spotify requirements.

What is the best way to convert WAV files to MP3 using FFmpeg?

Converting WAV to MP3 requires encoding with specific codecs and bitrates. You can use this Skill to automate FFmpeg conversions, exporting files to AAC or MP3 with precise bitrate control.

Can I reduce background noise and apply EQ for podcast audio processing?

Background noise reduction and EQ are common audio enhancement tasks. This Skill applies advanced FFmpeg filters for noise reduction, equalization, compression, and dynamic range control.

Does this audio processing approach support formats like Opus and FLAC?

Supporting formats like Opus and FLAC is standard for FFmpeg workflows. This Skill handles conversions between various audio formats, including AAC, MP3, Opus, and FLAC, for broadcast and music.

Why do I need two-pass loudness normalization for my audio files?

Two-pass loudness normalization analyzes audio first, then applies precise adjustments. This Skill uses FFmpeg two-pass processing to ensure your audio meets professional loudness standards without clipping.

What are the limitations of using FFmpeg for audio enhancement?

FFmpeg audio enhancement relies on filter chains that require specific parameter tuning. While this Skill automates noise reduction and dynamics, severe audio artifacts may limit restoration quality.