OCR Is Dead. Long Live Agentic OCR.

Agentic OCR reframes document parsing as an adaptive, evidence-driven process rather than a single-pass conversion, addressing subtle but consequential failures such as misaligned tables, omitted lines, and lost headers or footers. It uses an LLM-guided tool-calling loop to tailor reading strategies to document content, inspect difficult regions, correct orientation, delegate specialized tasks such as table extraction, and revise results when needed. Its effectiveness depends on three principles: allowing the document to determine where additional processing is required, validating corrections with evidence rather than accepting superficially improved outputs, and enforcing clear quality, time, and cost limits. LlamaParse applies these ideas through its Agentic and Agentic Plus tiers, with the broader aim of faithfully reconstructing documents—including layout relationships and page elements—to provide reliable evidence for downstream AI agents.

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