AI · 2h ago
OCR History and the Rise of Vision-First OCR
The article traces 110 years of OCR evolution from Emanuel Goldberg's 1914 optical reader to modern deep learning systems. It argues that most OCR models rely on a language layer that fails on historical scripts like Khmer, proposing a vision-first approach. The piece highlights how Tesseract and cloud APIs struggle with non-Latin, non-modern texts.
Meridian48 take
The critique of language-first OCR is valid for niche historical scripts, but the article's claim that this is a widespread problem for modern OCR may overstate the issue for mainstream languages.
ocrcomputer-vision