A python script for extracting and visualizing sound waves from audio files.

This script is based on the builder pattern which easily lets you customize the settings.

wave = (
 SoundWave
 .from_url(url='https://some_url/my_music.mp3')
 .with_bar_count(50)
 .with_skip_percent(0.75)
 .using_average()
 .process()
 .visualize(bar_height=50, bar_width=5)
 .delete_file()
).data

soundwave

You can initialize the SoundWave class using the 3 available class methods, from_file, from_url, from_path to provide your audio data from a file, direct url, or from a path on your device.

change the number of output bars, default is set to 50

set a percentage of data to be ignored in order to speed up the process. it is recommended to use 0.5 or higher

use the maximum function when processing the given data

use the average function when processing the given data

draw the processed sound wave

would delete the files after processing them

calculated property, returns a list of bar heights as int percentage, 100 being the maximum. This is to provide an efficient way to store the data as a blob of UInt8 values.