[grumbelbart2]

> OCRing this is a nightmare and is a good benchmark to any self-proclaimed good OCR/vision model.

It's not that difficult, our industrial OCR model read it correctly on its first attempt with default parameters. The characters are easily separable, there is no structured background (think expiration dates on yogurt aluminum lids) that confuses the reader, there is no almost-text-like texture anywhere that would clutter the result. The font is also nice and standard.

[mmooss]

Cool. What's an industrial OCR model?

[grumbelbart2]

Essentially part of a machine vision software package, which in turn is computer vision specialized for factory automation. It's "industrial" because it was trained on such data (more expiration dates and SEMI-font on wafers, less random pictures of streets with some text).

That, plus engineering and support: a robust implementation, deployment on almost any system, fast and good long-term support so your factory doesn't stop for too long if something goes wrong etc.

[mmooss]

Makes sense. I wonder if there's anything in the technology that would benefit people scanning books or those scanning random things with their phones. Maybe better for low contrast or degraded print?

(Obviously those applications don't need the engineering and support, and probably would not be a good fit for your company.)