Jerry Liu argues agentic OCR beats legacy systems on accuracy and cost
Original titleOCR is the perfect example of a use case that has been dominated by legacy/brittle systems, and can be solved both accurately and cheaply...
AISummary
Jerry Liu argues that OCR, long dominated by brittle legacy systems, can be solved accurately and cheaply by applying agentic intelligence.
He says a properly tuned agentic OCR dynamically allocates extra compute to complex elements, reviews and corrects failures, and builds semantic meaning across the page.
He contends frontier models are overengineered for this task in cost and latency yet still struggle with complex edge cases.
Source: Jerry Liu · x.comPublished · added here