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You can generate a spectrogram from an audio file by running a CLI command that decodes the audio and produces a spectrogram image. This supports exploratory data analysis and creates report-ready visual outputs.

Audio feature panel visualizations for track comparison can be created using the --viz option. This allows you to configure multiple visualization types to identify patterns and compare tracks effectively within audio research workflows.

Yes, you can configure the frequency range, window, and hop size for audio spectrograms. These signal-processing parameters allow precise control over the visualization output to match your audio research workflow requirements.

The tool supports batch processing for automated visual reporting by integrating with CLI workflows. This allows you to process multiple audio files sequentially to generate spectrograms and feature panels automatically.

Producing spectrogram images requires native or library-based audio decoding to process the input files. No specific external dependencies are listed, so decoding relies on your system's available native audio libraries.