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songsee

Generate spectrograms and audio feature visualizations from audio files via CLI.

Updated May 29, 2026
Search Tags:#cli#Chroma#spectrogram#mfcc#audio visualization#music analysis#mel
One-click install
npx skills add https://github.com/m4an5you6/aspera-agent --skill songsee-m4an5you6
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: songsee
Source: https://github.com/m4an5you6/aspera-agent/tree/main/skills/media/songsee
Command: npx skills add https://github.com/m4an5you6/aspera-agent --skill songsee-m4an5you6

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Analyzing audio content visually requires specialized tooling; this Skill turns audio files into spectrograms and multi-panel feature visualizations (mel, chroma, MFCC, and more) with a single CLI command, making audio structure, pitch, tempo, and loudness easy to inspect. ## Core Features & Use Cases - Spectrogram Generation: Render standard or mel-scaled spectrograms from WAV and MP3 files, with optional ffmpeg support for other formats. - Multi-Panel Feature Grids: Combine up to nine visualization types (chroma, HPSS, self-similarity, loudness, tempogram, MFCC, spectral flux) into a single image. - Flexible Output Control: Adjust color palettes, image dimensions, FFT window/hop size, frequency ranges, and time slices, exporting as PNG or JPG. - Use Case: Compare two synthesized audio outputs by generating side-by-side mel spectrograms, then inspect the images with a vision model to verify the synthesis pipeline. ## Quick Start Generate a mel spectrogram from the file track.mp3 and save it as a PNG image.

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 MP3 file?▼

Run songsee with the audio file path, for example songsee track.mp3, and optionally set an output file with -o spectrogram.png. WAV and MP3 are decoded natively without extra tools.

What audio visualization types does songsee support?▼

songsee supports nine types: spectrogram, mel, chroma, hpss, selfsim, loudness, tempogram, mfcc, and flux. Pass them comma-separated via --viz to render multiple panels as a grid in one image.

Does songsee support audio formats other than WAV and MP3?▼

WAV and MP3 are decoded natively by songsee. For other formats such as FLAC or AAC, you need ffmpeg installed so the audio can be decoded before visualization.

How do I visualize only part of an audio file?▼

Use the --start and --duration flags to select a time slice, for example songsee track.mp3 --start 12.5 --duration 8 -o slice.jpg. This renders only the specified 8-second segment beginning at 12.5 seconds.

Can songsee read audio from stdin?▼

Yes, pipe audio data with a dash as the input, such as cat track.mp3 | songsee - --format png -o out.png. This is useful when chaining songsee into shell-based audio processing pipelines.

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