songsee

To generate a spectrogram from an audio file, run the songsee CLI on your input. It processes common audio formats to produce standard spectrograms and multi-panel feature visualizations for analysis or documentation.

For music production debugging, you can visualize Mel spectrograms, chroma, MFCCs, and tempograms alongside standard spectrograms. These multi-panel visualizations help analyze audio characteristics and identify processing issues.

You need Go to install the songsee CLI, but ffmpeg is optional. Installing ffmpeg enables support for additional audio formats beyond the common types already handled natively by the visualization workflow.

Yes, you can export audio feature visualizations for visual documentation reports. The tool generates visuals in common image formats, allowing quick comparisons and integration into knowledge bases or documentation.

A standard spectrogram displays frequency linearly, while a Mel spectrogram scales frequency to match human auditory perception. Generating both allows comprehensive audio analysis by comparing physical frequencies with perceptual features.