Sonic Visualizer

Sonic Visualiser is software for viewing and analyzing audio recordings, with plugins and visualizations.

sonicvisualiser.org
Sonic Visualizer homepage screenshot

About Sonic Visualizer

Sonic Visualiser is a free, open-source application for viewing, analyzing, and annotating music audio recordings, available for Windows, Linux, macOS, and web platforms.

It is designed for musicologists, archivists, signal-processing researchers, and other users who need to closely examine audio file contents, and is part of a suite of complementary audio analysis tools.

Key features

  • Highly configurable audio visualization, analysis, and annotation
  • Plugin support for extended audio analysis capabilities
  • Batch audio feature extraction via companion Sonic Annotator
  • Rapid comparison of multiple versions of the same audio source
  • Available for Windows, Linux, macOS, and web platforms
Best for: Musicologists, archivists, signal-processing researchers, and other users who need to closely examine the contents of music audio recordings.
Good for
  • Free to use for audio visualization and analysis tasks
  • User-friendly design tailored for close study of music recordings
  • Part of a suite of complementary tools for varied audio analysis needs

Sonic Visualizer at a glance

Type
Website
Pricing
Not confirmed. Check the site
Platforms
Linux, Web, Windows
Open source
Not stated
Last checked
Oct 6, 2026 · Online when checked
Listed
Oct 5, 2026

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Sonic Visualizer FAQ

What primary functions does Sonic Visualiser provide?
It offers highly configurable visualization, analysis, and annotation of music audio recordings.
What tools are included in the Sonic Visualiser application suite?
The suite includes Sonic Lineup for comparing multiple versions of the same audio source, Tony for solo vocal pitch and note transcription, and Sonic Annotator for batch audio feature extraction using the same plugins as Sonic Visualiser.
Who is the target audience for Sonic Visualiser?
It is designed for musicologists, archivists, signal-processing researchers, and anyone else looking to closely examine audio file contents.
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