sonic-visualiser/sonic-visualiser

Visualisation, analysis, and annotation of music audio recordings

C++

905

2,956 commits

updated Oct 18, 2026

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SourceMessageScoreDate

You can try Sonic Visualier [1] with Chordino plugin from the Vamp Plugin Pack [2]. It won't give you a full notation, but it can estimate chords from the audio recording. [1] https://sonicvisualiser.org/ [2] https://code.soundsoftware.ac.uk/projects/vamp-plugin-pack

on An app that creates music notations from an audio recording

0

Jan 11, 2024

Sonic Visualiser – Visualisation, analysis, and annotation of audio recordings

2

Dec 14, 2023

There are various commercial offerings that do this, including Chordify and Capo. Alternatively if you want a flexible free (GPLv2) option with source code, consider the Chordino plugin (http://www.isophonics.net/nnls-chroma, C++ code at https://github.com/c4dm/nnls-chroma) which you can run in…

on Show HN: Get the guitar chords from your Spotify playlists

0

Dec 6, 2021

I tried making a spectrogram: https://twitter.com/nibot/status/1269347206445756416 I tried using baudline[1] (a 20-year-old program!) but it didn't work out-of-the-box on my current Linux installation. Instead I found something called Sonic Visualizer[2], which, while not real-time, worked out of…

on New slats make the Golden Gate Bridge sound like a David Lynch movie

0

Jun 6, 2020

Just the other day I discovered what a big research field, Music Information Retrieval, this is. Here is the video archive of a recent conference on the topic. https://ismir2019.ewi.tudelft.nl/ There are some FOSS applications e.g. https://www.sonicvisualiser.org/ but I'm surprised how bad the…

on Pitch Detection with Convolutional Networks

0

Feb 23, 2020

Sonic Visualiser v3 has just been released, here's a list of features: http://sonicvisualiser.org/new-in-v3.html Also it's open source: https://code.soundsoftware.ac.uk/projects/sonic-visualiser/f...

on Sonic Visualiser: Viewing and analysing the contents of music audio files

0

Mar 4, 2017

Sonic Visualiser: Viewing and analysing the contents of music audio files

94

Mar 3, 2017

If you are into this, also check out Sonic Visualizer (http://www.sonicvisualiser.org), with its support for VAMP plug-ins for analyzing audio.

on Real-time audio feature extraction with the Web Audio API

0

Dec 18, 2014

Which you can run in, for example, http://sonicvisualiser.org/

on Extract Chords From YouTube Videos

0

Mar 19, 2014

Sonic Visualiser [1] can---or, at least, it makes an attempt to. It's a highly useful tool for the analysis of music recordings. I, too, am highly interested in the extent to which matching recordings to scores can be automated, as are a lot of music theorists. I hope you can publish a write-up of…

on Show HN: noteZilla - Interactive sheet music

0

Aug 17, 2013

README

Sonic Visualiser

A program for viewing and analysing the contents of music audio files

Sonic Visualiser small screenshot

Sonic Visualiser is a free, open source, cross-platform desktop application for music audio visualisation, annotation, and analysis.

With Sonic Visualiser you can:

  • Load audio files in various formats (WAV/AIFF, Ogg, Opus, MP3 etc) and view their waveforms
  • Look at audio visualisations such as spectrogram views, with interactive adjustment of display parameters
  • Annotate audio data by adding labelled time points and defining segments, point values and curves
  • Run feature-extraction plugins to calculate annotations automatically, using algorithms such as beat trackers, pitch detectors and so on (see https://vamp-plugins.org/)
  • Import annotation data from various text formats and MIDI files
  • Play back the original audio with synthesised annotations, taking care to synchronise playback with the display position
  • Slow down and speed up playback and loop segments of interest, including seamless looping of complex non-contiguous areas
  • Export annotations and audio selections to external files.

Sonic Visualiser can also be controlled remotely using the Open Sound Control (OSC) protocol (if support is compiled in).

Credits

If you are using Sonic Visualiser in research work for publication, please see the file CITATION for a reference to cite.

Sonic Visualiser was devised and developed up to release 4.2 in the Centre for Digital Music at Queen Mary University of London, primarily by Chris Cannam, with contributions from Christian Landone, Mathieu Barthet, Dan Stowell, Jesús Corral García, Matthias Mauch, and Craig Sapp. Special thanks to Professor Mark Sandler for initiating and supporting the project.

The 4.3 to 4.5 releases were developed by Chris Cannam at Particular Programs Ltd.

The 5.0 release was supported once again by the Centre for Digital Music at Queen Mary University of London.

If you would like to sponsor future general development of Sonic Visualiser, or if you need something specific and have funding available for it, please contact Particular Programs Ltd.

The bulk of the Sonic Visualiser code is

  • Copyright (c) 2005-2007 Chris Cannam
  • Copyright (c) 2006-2020 and 2024-2025 Queen Mary University of London
  • Copyright (c) 2020-2023 Particular Programs Ltd

with a few exceptions as indicated in the individual source files.

Russian translation initially provided by Alexandre Prokoudine, updated by Sergey Kazorin, copyright 2006-2019 Alexandre Prokoudine and 2024 Sergey Kazorin.

Czech translation provided by Pavel Fric, copyright 2010-2019 Pavel Fric.

This work was partially funded by the European Commission through the SIMAC project IST-FP6-507142 and the EASAIER project IST-FP6-033902.

This work was partially funded by the Arts and Humanities Research Council through its Research Centre for the History and Analysis of Recorded Music (CHARM).

This work was partially funded by the Engineering and Physical Sciences Research Council through the OMRAS2 project EP/E017614/1, the Musicology for the Masses project EP/I001832/1, and the Sound Software project EP/H043101/1.

Sonic Visualiser is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. See the file COPYING included with this distribution for more information.

Sonic Visualiser may also make use of the following libraries:

  • Qt6 - Copyright The Qt Company, distributed under the LGPL
  • JACK - Copyright Paul Davis, Jack O'Quin et al, under the LGPL
  • PortAudio - Copyright Ross Bencina, Phil Burk et al, BSD license
  • Ogg decoder - Copyright CSIRO Australia, BSD license
  • MAD mp3 decoder - Copyright Underbit Technologies Inc, GPL
  • Opus decoder - Copyright Xiph.org and others, BSD license
  • libsamplerate - Copyright Erik de Castro Lopo, BSD license
  • libsndfile - Copyright Erik de Castro Lopo, LGPL
  • FFTW3 - Copyright Matteo Frigo and MIT, GPL
  • Rubber Band Library - Copyright Particular Programs Ltd, GPL
  • Vamp plugin SDK - Copyright Chris Cannam and QMUL, BSD license
  • LADSPA plugin SDK - Copyright Richard Furse et al, LGPL
  • RtMIDI - Copyright Gary P. Scavone, BSD license
  • Dataquay - Copyright Particular Programs Ltd, BSD license
  • Sord and Serd - Copyright David Robillard, BSD license
  • Redland - Copyright Dave Beckett and the University of Bristol, LGPL/Apache license
  • liblo OSC library - Copyright Steve Harris, GPL
  • Cap'n Proto - Copyright Sandstorm Development Group, Inc, BSD license

(Some distributions of Sonic Visualiser may have one or more of these libraries statically linked.) Many thanks to their authors.

Compiling Sonic Visualiser

If you are planning to compile Sonic Visualiser from source code, please read the relevant instructions:

These three platform builds are checked via continuous integration:

  • Linux CI build: Build Status
  • macOS CI build: Build Status
  • Windows CI build: Build Status

For notes on how to update and edit the UI translation strings, see TRANSLATION.md

More information

For more information about Sonic Visualiser, please go to

https://www.sonicvisualiser.org/

sonic-visualiser/sonic-visualiser

Visualisation, analysis, and annotation of music audio recordings

C++

905

2,956 commits

updated Oct 18, 2026

See the code

See what people are saying

SourceMessageScoreDate

You can try Sonic Visualier [1] with Chordino plugin from the Vamp Plugin Pack [2]. It won't give you a full notation, but it can estimate chords from the audio recording. [1] https://sonicvisualiser.org/ [2] https://code.soundsoftware.ac.uk/projects/vamp-plugin-pack

on An app that creates music notations from an audio recording

0

Jan 11, 2024

Sonic Visualiser – Visualisation, analysis, and annotation of audio recordings

2

Dec 14, 2023

There are various commercial offerings that do this, including Chordify and Capo. Alternatively if you want a flexible free (GPLv2) option with source code, consider the Chordino plugin (http://www.isophonics.net/nnls-chroma, C++ code at https://github.com/c4dm/nnls-chroma) which you can run in…

on Show HN: Get the guitar chords from your Spotify playlists

0

Dec 6, 2021

I tried making a spectrogram: https://twitter.com/nibot/status/1269347206445756416 I tried using baudline[1] (a 20-year-old program!) but it didn't work out-of-the-box on my current Linux installation. Instead I found something called Sonic Visualizer[2], which, while not real-time, worked out of…

on New slats make the Golden Gate Bridge sound like a David Lynch movie

0

Jun 6, 2020

Just the other day I discovered what a big research field, Music Information Retrieval, this is. Here is the video archive of a recent conference on the topic. https://ismir2019.ewi.tudelft.nl/ There are some FOSS applications e.g. https://www.sonicvisualiser.org/ but I'm surprised how bad the…

on Pitch Detection with Convolutional Networks

0

Feb 23, 2020

Sonic Visualiser v3 has just been released, here's a list of features: http://sonicvisualiser.org/new-in-v3.html Also it's open source: https://code.soundsoftware.ac.uk/projects/sonic-visualiser/f...

on Sonic Visualiser: Viewing and analysing the contents of music audio files

0

Mar 4, 2017

Sonic Visualiser: Viewing and analysing the contents of music audio files

94

Mar 3, 2017

If you are into this, also check out Sonic Visualizer (http://www.sonicvisualiser.org), with its support for VAMP plug-ins for analyzing audio.

on Real-time audio feature extraction with the Web Audio API

0

Dec 18, 2014

Which you can run in, for example, http://sonicvisualiser.org/

on Extract Chords From YouTube Videos

0

Mar 19, 2014

Sonic Visualiser [1] can---or, at least, it makes an attempt to. It's a highly useful tool for the analysis of music recordings. I, too, am highly interested in the extent to which matching recordings to scores can be automated, as are a lot of music theorists. I hope you can publish a write-up of…

on Show HN: noteZilla - Interactive sheet music

0

Aug 17, 2013

README

Sonic Visualiser

A program for viewing and analysing the contents of music audio files

Sonic Visualiser small screenshot

Sonic Visualiser is a free, open source, cross-platform desktop application for music audio visualisation, annotation, and analysis.

With Sonic Visualiser you can:

  • Load audio files in various formats (WAV/AIFF, Ogg, Opus, MP3 etc) and view their waveforms
  • Look at audio visualisations such as spectrogram views, with interactive adjustment of display parameters
  • Annotate audio data by adding labelled time points and defining segments, point values and curves
  • Run feature-extraction plugins to calculate annotations automatically, using algorithms such as beat trackers, pitch detectors and so on (see https://vamp-plugins.org/)
  • Import annotation data from various text formats and MIDI files
  • Play back the original audio with synthesised annotations, taking care to synchronise playback with the display position
  • Slow down and speed up playback and loop segments of interest, including seamless looping of complex non-contiguous areas
  • Export annotations and audio selections to external files.

Sonic Visualiser can also be controlled remotely using the Open Sound Control (OSC) protocol (if support is compiled in).

Credits

If you are using Sonic Visualiser in research work for publication, please see the file CITATION for a reference to cite.

Sonic Visualiser was devised and developed up to release 4.2 in the Centre for Digital Music at Queen Mary University of London, primarily by Chris Cannam, with contributions from Christian Landone, Mathieu Barthet, Dan Stowell, Jesús Corral García, Matthias Mauch, and Craig Sapp. Special thanks to Professor Mark Sandler for initiating and supporting the project.

The 4.3 to 4.5 releases were developed by Chris Cannam at Particular Programs Ltd.

The 5.0 release was supported once again by the Centre for Digital Music at Queen Mary University of London.

If you would like to sponsor future general development of Sonic Visualiser, or if you need something specific and have funding available for it, please contact Particular Programs Ltd.

The bulk of the Sonic Visualiser code is

  • Copyright (c) 2005-2007 Chris Cannam
  • Copyright (c) 2006-2020 and 2024-2025 Queen Mary University of London
  • Copyright (c) 2020-2023 Particular Programs Ltd

with a few exceptions as indicated in the individual source files.

Russian translation initially provided by Alexandre Prokoudine, updated by Sergey Kazorin, copyright 2006-2019 Alexandre Prokoudine and 2024 Sergey Kazorin.

Czech translation provided by Pavel Fric, copyright 2010-2019 Pavel Fric.

This work was partially funded by the European Commission through the SIMAC project IST-FP6-507142 and the EASAIER project IST-FP6-033902.

This work was partially funded by the Arts and Humanities Research Council through its Research Centre for the History and Analysis of Recorded Music (CHARM).

This work was partially funded by the Engineering and Physical Sciences Research Council through the OMRAS2 project EP/E017614/1, the Musicology for the Masses project EP/I001832/1, and the Sound Software project EP/H043101/1.

Sonic Visualiser is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. See the file COPYING included with this distribution for more information.

Sonic Visualiser may also make use of the following libraries:

  • Qt6 - Copyright The Qt Company, distributed under the LGPL
  • JACK - Copyright Paul Davis, Jack O'Quin et al, under the LGPL
  • PortAudio - Copyright Ross Bencina, Phil Burk et al, BSD license
  • Ogg decoder - Copyright CSIRO Australia, BSD license
  • MAD mp3 decoder - Copyright Underbit Technologies Inc, GPL
  • Opus decoder - Copyright Xiph.org and others, BSD license
  • libsamplerate - Copyright Erik de Castro Lopo, BSD license
  • libsndfile - Copyright Erik de Castro Lopo, LGPL
  • FFTW3 - Copyright Matteo Frigo and MIT, GPL
  • Rubber Band Library - Copyright Particular Programs Ltd, GPL
  • Vamp plugin SDK - Copyright Chris Cannam and QMUL, BSD license
  • LADSPA plugin SDK - Copyright Richard Furse et al, LGPL
  • RtMIDI - Copyright Gary P. Scavone, BSD license
  • Dataquay - Copyright Particular Programs Ltd, BSD license
  • Sord and Serd - Copyright David Robillard, BSD license
  • Redland - Copyright Dave Beckett and the University of Bristol, LGPL/Apache license
  • liblo OSC library - Copyright Steve Harris, GPL
  • Cap'n Proto - Copyright Sandstorm Development Group, Inc, BSD license

(Some distributions of Sonic Visualiser may have one or more of these libraries statically linked.) Many thanks to their authors.

Compiling Sonic Visualiser

If you are planning to compile Sonic Visualiser from source code, please read the relevant instructions:

These three platform builds are checked via continuous integration:

  • Linux CI build: Build Status
  • macOS CI build: Build Status
  • Windows CI build: Build Status

For notes on how to update and edit the UI translation strings, see TRANSLATION.md

More information

For more information about Sonic Visualiser, please go to

https://www.sonicvisualiser.org/

Significant stargazers

Alexey Kutepov

14,698 followers · starred Apr 2024

Magic Len (Ron Li)

270 followers · starred Jul 2021

David Runge

233 followers · starred Feb 2021

Mrmaxmeier

102 followers · starred May 2021