ScanMint

Photograph the paper, ScanMint figures out what to do with it.

ScanMint finds documents inside imperfect photographs, straightens and cleans them, then learns what it’s looking at — whether that’s an invoice, form, receipt, or handwritten note. What started as a computer-vision experiment became an attempt to make paperwork feel a little less like paperwork.

A prediction isn’t the end of the pipeline.

When ScanMint gets a classification wrong, the user can correct it. Those corrections become labelled examples for future training, turning ordinary use into a growing source of feedback. The model isn’t treated as finished; it’s designed to get better at the thing it keeps getting wrong.