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songsee

Generate and visualize audio spectrograms with the songsee CLI tool.

Updated May 11, 2026
Search Tags:#audio visualization#spectral analysis#chromagram#mel spectrogram#audio spectrograms
One-click install
npx skills add https://github.com/richardnguyen0715/keep-it-real --skill songsee-richardnguyen0715
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: songsee
Source: https://github.com/richardnguyen0715/keep-it-real/tree/main/refer-projects/hermes-agent/skills/media/songsee
Command: npx skills add https://github.com/richardnguyen0715/keep-it-real --skill songsee-richardnguyen0715

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires songsee, and includes scripts (resource) and assets (resource) components.

What problem does it solve?

The songsee Skill provides a fast and effective way to generate and visualize audio data through spectrograms and multi-panel audio feature visualizations.

Core Features & Use Cases

  • Spectrogram Generation: Creates clear visual representations of audio waveforms and frequency data.
  • Audio Feature Visualization: Offers multiple visualization options like Mel-spectrograms, chromagrams, MFCCs, etc.
  • Cross-Platform Compatibility: Works on Linux, MacOS, and Windows platforms.
  • Use Case: A music analyst might use songsee to generate spectrograms of audio files for further analysis in the frequency domain.

Quick Start

Generate a spectrogram of an audio file with songsee: songsee yourtrack.mp3

Frequently Asked Questions about songsee

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

FAQPage Schema
How do I generate an audio spectrogram from an mp3 file?▼

You can generate an audio spectrogram from an mp3 file by running the command `songsee yourtrack.mp3`, which creates visual representations of audio waveforms and frequency data for music and sound analysis.

What is a mel spectrogram and when do I need it for audio analysis?▼

A mel spectrogram is a visual representation of audio frequencies scaled to human auditory perception. You need it for music and sound analysis to evaluate frequency domain characteristics that standard waveforms do not highlight.

Does the songsee audio visualization tool work on Windows and MacOS?▼

Yes, the songsee audio visualization tool works on Windows and MacOS, in addition to Linux. It provides cross-platform compatibility for generating spectral analysis outputs without operating system restrictions.

Can I visualize chromagrams and MFCCs from audio waveforms?▼

Yes, you can visualize chromagrams and MFCCs from audio waveforms. The tool offers multiple audio feature visualization options, including mel spectrograms, chromagrams, and MFCCs for detailed frequency domain analysis.

Do I need to install any packages before generating audio spectrograms?▼

Yes, you need to install the songsee package before generating audio spectrograms. Installing this CLI tool is required to process audio files and output visual representations on your operating system.

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