songsee

by Unknown v1.0.0

Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.

What It Does

Songsee generates visual representations of audio data, including spectrograms and feature panels, enabling users to analyze audio characteristics and patterns.

When To Use

Use Songsee to analyze audio files, visualize music features, create audio visualizations for presentations, or debug audio processing pipelines.

Inputs

Audio files in WAV, MP3, or other formats supported by ffmpeg; command-line arguments for specifying visualization type, style, time range, and output format.

Outputs

Spectrograms and feature panel visualizations in JPG or PNG format.

Limitations

Relies on ffmpeg for decoding certain audio formats. Performance may vary depending on audio file size and complexity of the visualization.

Installation

1. Ensure you have Homebrew installed. If not, install it from brew.sh.
2. Run `brew tap steipete/tap` to add the Songsee tap to your brew repository.
3. Run `brew install steipete/tap/songsee` to install Songsee using Homebrew.
4. Alternatively, download the source code from the GitHub repository and follow the build instructions.

View Cline documentation

1. Ensure you have Homebrew installed. If not, install it from brew.sh.
2. Run `brew tap steipete/tap` to add the Songsee tap to your brew repository.
3. Run `brew install steipete/tap/songsee` to install Songsee using Homebrew.
4. Alternatively, download the source code from the GitHub repository and follow the build instructions.

View Aider documentation

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