name: songsee

description: Generate spectrograms and audio feature visualizations (mel, chroma, MFCC, tempogram, etc.) from audio files via CLI. Useful for audio analysis, music production debugging, and visual documentation.

version: 1.0.0

author: community

license: MIT

metadata:

hermes:

tags: [Audio, Visualization, Spectrogram, Music, Analysis]

homepage: https://github.com/steipete/songsee

prerequisites:

commands: [songsee]

songsee

Generate spectrograms and multi-panel audio feature visualizations from audio files.

Prerequisites

Requires Go:

`bash

go install github.com/steipete/songsee/cmd/songsee@latest

Optional: ffmpeg for formats beyond WAV/MP3.

Quick Start

`bash

Basic spectrogram

songsee track.mp3

Save to specific file

songsee track.mp3 -o spectrogram.png

Multi-panel visualization grid

songsee track.mp3 --viz spectrogram,mel,chroma,hpss,selfsim,loudness,tempogram,mfcc,flux

Time slice (start at 12.5s, 8s duration)

songsee track.mp3 --start 12.5 --duration 8 -o slice.jpg

From stdin

cat track.mp3 | songsee - --format png -o out.png

Visualization Types

Use --viz with comma-separated values:

Multiple --viz types render as a grid in a single image.

Common Flags

Type	Description
------	-------------
`spectrogram`	Standard frequency spectrogram
`mel`	Mel-scaled spectrogram
`chroma`	Pitch class distribution
`hpss`	Harmonic/percussive separation
`selfsim`	Self-similarity matrix
`loudness`	Loudness over time
`tempogram`	Tempo estimation
`mfcc`	Mel-frequency cepstral coefficients
`flux`	Spectral flux (onset detection)
Flag	Description
------	-------------
`--viz`	Visualization types (comma-separated)
`--style`	Color palette: `classic`, `magma`, `inferno`, `viridis`, `gray`
`--width` / `--height`	Output image dimensions
`--window` / `--hop`	FFT window and hop size
`--min-freq` / `--max-freq`	Frequency range filter
`--start` / `--duration`	Time slice of the audio
`--format`	Output format: `jpg` or `png`
`-o`	Output file path

Notes

- WAV and MP3 are decoded natively; other formats require ffmpeg

- Output images can be inspected with vision_analyze for automated audio analysis
- Useful for comparing audio outputs, debugging synthesis, or documenting audio processing pipelines