Professional World / Build / prototype

Img2Sound

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