songsee

Generate a spectrogram from an audio file by running a CLI command that decodes native audio formats and outputs visual frequency panels. The tool supports single-file workflows and batch processing of multiple tracks without manual plotting.

Create multi-panel audio visualizations like mel and chroma by using the --viz flag to specify multiple visualization types in a single command. Supported panels include spectrogram, mel, chroma, and hpss for comprehensive audio feature analysis.

You need ffmpeg to visualize non-native audio formats, as the tool requires native audio decoding by default but supports optional ffmpeg integration for broader file compatibility. Standard native formats can be processed without additional dependencies.

Batch process audio tracks for visual analysis by integrating the CLI tool into automated workflows that iterate over multiple audio files. This enables per-track spectrogram and feature panel generation, supporting time-slice exports for granular audio visualization.

This audio analysis tool supports live stream visualization by generating real-time plots from streams or archives. It processes live audio inputs to output continuous spectrograms and feature panels for dynamic frequency monitoring.

Limitations of CLI-based audio visualization include requiring native audio decoding capabilities or optional ffmpeg for non-native formats, and operating within command-line workflows rather than providing interactive graphical interfaces for spectrogram exploration.