Purpose
Many image-to-audio experiments hide the mapping and synthesis steps, which makes results difficult to tune or reproduce.
creative code · prototype
Img2Sound
Image-to-audio lab that turns uploaded visuals into playable sound, reverse-generated image studies, and downloadable browser renders.
My role
Designer and engineer
Status
prototype
Methods
- Python
- TypeScript
- Web Audio
- Canvas image processing
- Spectrogram synthesis
- Phase recovery
Outputs
- The live build stages the original image-to-spectrogram idea as a browser studio: image upload, parameter-driven rerenders, A/B compare, reverse image generation from sound, and downloadable WAV or stem outputs.
Result
Img2Sound keeps the mapping controls visible and supports repeatable upload, comparison, rerendering, and export.
Implementation
How it works
The live build stages the original image-to-spectrogram idea as a browser studio: image upload, parameter-driven rerenders, A/B compare, reverse image generation from sound, and downloadable WAV or stem outputs.
The original workspace is a Python desktop experiment. The browser version exposes the same mapping approach through uploads, reverse studies, and exportable renders.