This is a fun side project about converting texts to sound waves using python.

First I use the gTTS Library to interface with Google Translate's text-to-speech API that way I can extract the audio and save it to an mp3 file, then I use LibROSA package to extract the waveform and the sampling rate / frequency, then I use matplotlib library to generate the plot of the sound wave in terms of time and frequency.

  ➕You can use any language supported by Google Translate
  ➕You can change the sound waves color
  ➕You can change the Background Color of the resulted image to match the sound waves color ;)

1. Clone the repository.
2. Get to the 'vibe.py' file.
3. Edit the parameters Like this :

4. Run the program :

python vibe.py 

5. You'll find The sound file(.mp3) in the sounds folder and the sound waves plot(.png) in the plots folder.

6. Enjoy playing around with it for better aesthetics 😆