Sonic Visualiser is an application for inspecting, analysing and annotating music and other audio recordings. It provides detailed visual representations of sound, helping researchers and musicians investigate characteristics that can be difficult to distinguish through listening alone.
The software is particularly useful for musicological research, acoustic analysis and studying recorded performances. Users can examine waveforms and spectrograms, mark events within a recording and compare different types of information on a shared timeline.
Sonic Visualiser also supports automated analysis through Vamp plugins. These extend the application with algorithms for extracting musical and acoustic features, allowing results to be examined alongside the original recording.
This is free and open source software.
Key Features
- Load audio recordings in formats including WAV, AIFF, Ogg, Opus and MP3.
- Display waveforms with adjustable zoom and time resolution.
- Interactive spectrograms with configurable frequency scales, colour maps and smoothing.
- Frequency scales include linear, logarithmic, Mel and other representations.
- Overlay multiple visualisations, including translucent spectrogram layers.
- Annotate recordings with labelled time points, regions, curves and numeric values.
- Run Vamp feature-extraction plugins for pitch detection, beat tracking and other analyses.
- Import annotation data from text files and MIDI sequences.
- Display musical note information alongside waveform and spectral data.
- Synchronise playback with annotations and analysis results.
- Time-stretch playback while maintaining the correspondence between sound and display.
- Loop selected regions for repeated listening and comparison.
- Export selected audio regions, annotations and visualisations.
- Cross-platform support – runs on Linux, macOS, and Windows.
Website: www.sonicvisualiser.org
Support:
Developer: Centre for Digital Music, Queen Mary University of London
License: GNU General Public License v2.0
Sonic Visualiser is written in C++. Learn C++ with our recommended free books and free tutorials.
Related Software
| Audio Analyzers | |
|---|---|
| Sonic Visualiser | View and analyse the contents of music audio files |
| Friture | Visualize and analyze live audio data in real-time |
| Spek | Acoustic spectrum analyser |
| projectM | Music visualizer originally based on Milkdrop |
| SongRec | Open source Shazam client |
| Cava | Cross-platform audio visualizer |
| sndpeek | Real-time audio visualization tool (animated, 3D) |
| MasVisGtk | Powerful and comprehensive audio analysis tool |
| Mousai | Simple application that can identify songs similar to Shazam |
| AudMeS | System for audio measurement through a sound card in the PC |
| Cavalier | Audio visualizer based on Cava |
| Open Sound Meter | Measurement application for tuning sound systems in real time |
| Le Biniou | Music visualization / VJing tool |
| Cavasik | Fork of Cavalier |
| Spek-rs | Acoustic spectrum analyser |
| Soundscope | Analyzing audio data |
| Partiels | Audio analysis tool |
| rtspeccy | Real time spectrum analyzer |
| FMIT | Graphical utility for tuning musical instruments |
| Vibe | Wayland music visualiser with audio-reactive shader effects |
| Wolf Spectrum | Real-time spectrogram analyser for audio monitoring and production |
| OpenMeters | Real-time audio metering with waveform and spectrum displays |
| Beskope | PipeWire music visualiser with waveform and spectrogram displays |
| spectroterm | Curses based terminal spectrum analyzer |
| Music Radar | Simple application that can identify songs similar to Shazam |
Read our verdict in the software roundup.
LinuxLinks helps you discover the best free and open source software for Linux. Explore our extensive collection of recommended applications, including alternatives to popular proprietary software.We also publish software reviews, Linux tutorials, hardware reviews, free programming books and articles covering the wider open source community. Browse our Linux resources to discover more. Know a useful free and open source Linux application we haven't covered? Suggest a program for inclusion. Has your software been featured on LinuxLinks? Display one of our Featured on LinuxLinks badges on your website or GitHub README. |



Please read our Comment Policy before commenting.