audio-normalizer

Normalize audio volume levels using peak, RMS, or LUFS methods.

86|18|Updated Dec 14, 2025

Search Tags:#audio #normalization #batch processing #podcast #volume #loudness

Ready to run

npx skills add https://github.com/dkyazzentwatwa/chatgpt-skills --skill audio-normalizer

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: audio-normalizer
Source: https://github.com/dkyazzentwatwa/chatgpt-skills/tree/main/audio-normalizer
Command: npx skills add https://github.com/dkyazzentwatwa/chatgpt-skills --skill audio-normalizer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pydub, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill ensures consistent audio volume across files, preventing jarring loudness differences in podcasts, music, or speech recordings.

Core Features & Use Cases

Volume Normalization: Apply peak, RMS, or LUFS normalization.
Batch Processing: Normalize multiple files simultaneously.
Use Case: You have a podcast with several episodes recorded at different times. Use this Skill to normalize all episodes to a consistent loudness level so listeners don't have to constantly adjust their volume.

Quick Start

Use the audio-normalizer skill to normalize the audio file 'episode1.mp3' to an RMS target of -19.0 dBFS.

Frequently Asked Questions about audio-normalizer

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

FAQPage Schema

How do I normalize audio volume levels for multiple podcast episodes?▼

Audio volume normalization standardizes loudness across multiple podcast episodes using peak, RMS, or LUFS methods. You can batch process files simultaneously to ensure consistent volume, preventing jarring loudness differences for listeners.

What is the difference between peak, RMS, and LUFS normalization for audio files?▼

Peak, RMS, and LUFS normalization are three methods to standardize audio volume. Peak targets maximum amplitude, RMS adjusts average power, and LUFS measures perceived loudness for broadcast compliance, ensuring consistent volume levels across speech and music recordings.

Can I batch process audio files to a consistent loudness level?▼

Yes, batch processing normalizes multiple audio files simultaneously to a consistent loudness level. This feature supports format preservation while applying your chosen normalization method across all selected files.

Does pydub support LUFS normalization for broadcast compliance?▼

Pydub supports audio manipulation for volume normalization, allowing you to apply peak, RMS, or LUFS methods. LUFS normalization specifically targets perceived loudness, making it suitable for achieving broadcast compliance standards.

What's the best way to fix jarring volume differences in speech recordings?▼

The best way to fix jarring volume differences in speech recordings is applying RMS or LUFS normalization. This standardizes the perceived loudness across tracks, eliminating sudden volume jumps without manual gain adjustment.