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Life & fun · April 17, 2020

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Sound visualisation, better than FFT (iOS)

2021-09-07: New version (1.4) now works on M1 macs. Performance improvements released for both iOS and MacOS. Follow the app on Facebook, Twitter! Subscribe to email list to hear about the future developments. See live sound with high-precision details across both, time and frequency domains! iOS (i

Sound visualisation, better than FFT (iOS) launched on April 17, 2020 with 98 votes, #506 of 5,003 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 6 years on.

Visit vsound.app ↗Alternativestop 10% of April 2020

In plain words

Sound Visualisation is an iOS app that creates visual representations of audio. Released in 2020, it offers an alternative approach to traditional FFT-based sound visualization methods. The app is designed for users interested in seeing audio transformed into dynamic visual displays. It's suitable for music enthusiasts, performers, or anyone looking to explore how sound can be represented graphically on their iPhone or iPad.

written from the facts on this page · September 2026

From the sources

2021-09-07: New version (1.4) now works on M1 macs. Performance improvements released for both iOS and MacOS. Follow the app on Facebook, Twitter! Subscribe to email list to hear about the future developments. See live sound with high-precision details across both, time and frequency domains! iOS (iPhone, iPad) or …

Subscribe to email list to hear about the future developments. See live sound with high-precision details across both, time and frequency domains! Feel free to contact me at [email protected] (or visit akuz.me ) Feel free to skip this, and scroll down below for some awesome visualisations! If you have ever tried to use Fast Fourier Transform (FFT) to analyse the frequency content (notes) of music, you would have noticed that you cannot really see all the details of the sound. This has to do with the fact that FFT is designed to detect frequencies in a fixed "window" (time period) of sound. In order to analyse live streaming sound, FFT needs to be adapted by analysing small, partially…from vsound.app

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