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songsee

Generate spectrograms and multi-panel audio visualizations from audio files via CLI.

Updated Apr 23, 2026
Search Tags:#cli#visualization#chroma#audio-analysis#spectrogram#mfcc#mel
One-click install
npx skills add https://github.com/Rawgrowth-Consulting/rawclaw-agent --skill songsee-rawgrowth-consulting
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: songsee
Source: https://github.com/Rawgrowth-Consulting/rawclaw-agent/tree/main/skills/media/songsee
Command: npx skills add https://github.com/Rawgrowth-Consulting/rawclaw-agent --skill songsee-rawgrowth-consulting

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Audio analysts, music producers, and researchers often need fast, consistent visual representations of audio signals. Songsee automates the generation of spectrograms and multi-panel visualizations from common audio formats, saving time and enabling rapid inspection.

Core Features & Use Cases

  • Generate standard spectrograms, Mel spectrograms, chroma, MFCC, tempogram, and other panels from audio files via CLI.
  • Create multi-panel visualizations for debugging, documentation, and analytical comparisons.
  • Useful for music production workflows, sound design, and educational demonstrations.

Quick Start

Run songsee track.mp3 to generate the default spectrogram visualization.

Frequently Asked Questions about songsee

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

FAQPage Schema
How do I generate a spectrogram from an audio file?▼

Generate multi-panel audio visualizations by running the songsee CLI on your audio files. It creates combined spectrogram, Mel, chroma, and MFCC panels for debugging and documentation.

What audio formats can I analyze with spectrogram visualization tools?▼

Spectrogram visualization supports common formats including WAV and MP3. Installing ffmpeg extends format support beyond WAV and MP3 for broader audio analysis.

Do I need to install Go to use songsee for audio analysis?▼

Yes, you need the Go toolchain installed to use songsee for audio analysis. The Go toolchain is required to install the songsee binary, while ffmpeg is optional for handling formats beyond WAV and MP3.

What is the difference between a Mel spectrogram and a chroma visualization?▼

A Mel spectrogram visualizes audio frequency on the Mel scale, while chroma visualization represents pitch class content. Songsee generates both, alongside MFCC and tempogram panels, from your audio files.

Can I create multi-panel audio visualizations for music production debugging?▼

Yes, you can create multi-panel audio visualizations for music production debugging. Songsee generates combined spectrogram, chroma, and MFCC panels from audio files to enable rapid analytical comparisons.

What's the best way to document audio analysis results visually?▼

The best way to document audio analysis results visually is generating multi-panel visualizations. Songsee creates standard spectrograms, Mel spectrograms, and MFCC plots from audio files for visual documentation.

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