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@llama_index

Ever wondered what we mean by 'agentic' OCR? It's parsing that reasons about documents instead of just reading them. Agentic OCR adapts to layout changes by treating document processing as a goal-oriented task rather than simple text extraction. 🧠 Uses multimodal language models to understand document structure and context, not just convert pixels to text šŸ“ Provides visual grounding with bounding boxes so every extracted field traces back to its source location šŸ”„ Runs self-correction loops to catch inconsistencies before they reach your downstream systems ⚔ Achieves 90-95%+ straight-through processing rates on new document formats without template setup This matters for legal teams processing M&A due diligence, healthcare admins handling medical forms, and finance teams reconciling reports across subsidiaries. The agent doesn't just extract data - it completes document workflows with built-in validation and business logic. LlamaParse is our implementation of agentic OCR. Get 10,000 free credits to test it against your actual documents: Read the full breakdown: https://t.co/FRoyXKGUia

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