Professional World / Build / prototype
Img2Sound
A desktop tool that converts images into audio through spectrogram-style reconstruction and Griffin-Lim iteration.
Problem
Most experimental audio-image tools either feel opaque or too rough to revisit, even though the underlying transformation is visually and sonically compelling.
Why it matters
Img2Sound is a good bridge between the professional systems side and the Recombinase side: technical signal processing with obvious creative potential.
System description
The app loads an image, maps it into a magnitude spectrogram, reconstructs phase iteratively, and exports generated audio through a desktop interface.
Tools / methods
PythonTkinterNumPySciPyPillowSpectrogram synthesis
Constraints
- The output quality depends heavily on parameter tuning.
- It can be resource-heavy on larger images and longer durations.
Workspace source
AI Projects In Process/img2sound/img2sound.py
import os