A table that's quietly misaligned. A paragraph that's silently dropped. Ever had a document parse that looked right but wasn't? Title: OCR Is Dead. Long Live Agentic OCR URL: Drawing on lessons from building LlamaParse, LlamaIndex lays out what it means to treat document parsing as agentic: the system decides how to read a document, calls tools or specialized models as needed, and changes approach based on results. Three highlights stand out. 🧩 Adaptive reading strategy Instead of processing every element uniformly, resources are allocated based on document complexity — tables get specialized attention while simpler text gets standard handling. 🔍 Evidence-based self-correction Simply reprocessing a problematic section isn't enough. The system has to verify, with checkable evidence, that a correction actually improves accuracy without sacrificing fidelity. ⏱️ Clear limits and objectives Explicit constraints on time and cost coexist with a single goal: faithfully reconstructing the entire document, down to headers, footers, and other page furniture. What stands out here is the bar itself moving — once AI agents rely on parsed documents for consequential work, "readable" isn't enough; it has to be faithfully reconstructed. #AIAgents# #DocumentParsing#