Technology

Random aside to rant about consumer OCR.

Recently for my work I had to do some OCR stuff to get some numbers out of a document that the vendor in their infinite wisdom refused to provide in an editable/selectable form. I.e. they just slapped a .jpeg onto a page and saved it as a .pdf. (This is a separate thing that infuriates me.)

Anyway, what I'm actually here to complain about is the baffling phenomenon that every single piece of OCR software I tried ranging from open source to trials of commercial programs, to the thingy that came with one of our all-in-one printer/scanners, and everything in between is that it's somehow still exactly as crap as the lousy OCR programs we were all struggling with in the late '90s.

I have absolutely no idea how this facet of technology in particular has utterly and categorically failed to make any forward progress whatsoever in literal decades. I've personally worked on machine vision driven pick-and-place machines capable of accurately determining the orientation of densely printed cosmetics tubes, among other items, and placing them all face up in a box several times per second. Yet somehow the latest and greatest OCR transcription algorithms still can't tell a 5 from a 6 or ye gods forbid an S, or an L from a J, or an M from a collection of back and forward slashes, all despite being handed crisp high contrast seriffed text that's at least 60 pixels high.

Given the incredibly low bar for performance here given that apparently every single programmer involved just walked away circa about 2001, I can't imagine that the current slop generation machines fare any better...