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songsee

Official

Create audio spectrograms and feature panels.

Design & Creative#CLI#visualization#audio#data-analysis#spectrogram#feature-panel
Authorletta-ai
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Generating rich audio visualizations can be time-consuming and technically challenging. songsee automates the creation of spectrograms and feature panels from audio files, enabling quick insight and presentation-ready visuals.

Core Features & Use Cases

  • Spectrogram generation from WAV/MP3 audio files for quick visual inspection.
  • Multi-panel visualizations (mel, chroma, MFCC, hpss, loudness, tempogram, etc.) for in-depth analysis.
  • Time-slice export and batch processing to produce visuals for reports or research.
  • Command-line workflow that integrates into data pipelines or media analysis tasks.

Quick Start

Install songsee (brew) and run a few examples:

  • brew install steipete/tap/songsee
  • songsee track.mp3
  • songsee track.mp3 --viz spectrogram,mel,chroma

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: songsee
Download link: https://github.com/letta-ai/lettabot/archive/main.zip#songsee

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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