StegaMark

People who publish images need a simple way to show they are theirs: visible brand marks, hidden payloads, a quick check of what an image carries, and a way to clean it up, without forensic tools.

Four workflows in one studio.

1. Visible text or logo watermarks, single or tiled as a grid, staggered or diagonal.
2. Hidden text or a hidden logo in the least significant bits, at a strength from 1 to 8 bits per channel.
3. Reveal checks that try every supported LSB depth automatically.
4. A one-click cleanup model with a before and after comparison.

The hosted studio runs entirely in the browser with the Canvas API, with no server behind it. The original Python and Flask workflow and a command line interface remain for local use. I managed the project for a team of six.