Home Glossary Optical Character Recognition (OCR)

Optical Character Recognition (OCR) - Page 6

Optical character recognition, or OCR, converts text visible in images, scans, photographs, and PDFs into machine-readable characters. A modern OCR pipeline may detect text regions, correct perspective, recognize handwriting or printed symbols, and reconstruct reading order and layout. The technology supports document search, invoice processing, accessibility, translation, archiving, and identity workflows. Accuracy depends on image quality, fonts, languages, handwriting, tables, background noise, and document structure. A plausible transcription can still contain consequential mistakes in names, dates, or amounts. High-impact uses therefore combine OCR confidence scores with validation rules, source-image access, and human review rather than treating extracted text as automatically authoritative.

Andrew Tulloch Leaves $12B AI Startup to Join Meta After Turning Down $1.5B Offer
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AI & Machine Learning, Immersive Reality (AR, VR, MR, and XR), News, Startups & Investment

Andrew Tulloch Leaves $12B AI Startup to Join Meta After Turning Down $1.5B Offer

By • 3 mins read

Andrew Tulloch, co-founder of the $12 billion AI startup Thinking Machines Lab, has joined Meta after previously rejecting what reports described as a $1.5 billion offer — a figure Meta has since called ‘inaccurate and ridiculous.’