audioviz

Audioviz is a simple and easy to use library that helps you visualise raw audio-data

This is done with the help of the Fast Fourier Transform algorithm, some frequency-space and volume normalisation and optional effects like gravity.

There are currently only high-level abstractions for live visualisation, where it is consistently fed with data,

but mp3 or wav file abstractions might be added in the future.

Demo

implementations

• crav
• audiovis
• audiolizer

Features

• Fast Fourier transform via RustFFT with space and volume normalisation
• configuration that can be modified at runtime
• high-level abstraction but still possible to do everything manually
• system audio capturing using cpal
• multithreaded event based approach

• should be possible to implement in any project

  Code Example with spectralizer

  ```rs use audioviz::audio_capture::{config::Config as CaptureConfig, capture::Capture}; use audioviz::spectralizer::stream::{Stream, StreamController}; use audioviz::spectralizer::config::StreamConfig;

  fn main() { // captures audio from system using cpal let capture = Capture::init(CaptureConfig::default());

  // continuous processing of data received from capture let audio = Stream::initwithcapture(capture, StreamConfig::default()); let audiocontroller: StreamController = audio.getcontroller();

  loop { // stored as Vec<spectralizer::Frequency> let data = audiocontroller.getfrequencies(); /* do something with data ... */ } } ```