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LandingAI’s agentic vision tech uses an iterative workflow to accurately extract a document’s text, diagrams, charts and form fields to produce an LLM-ready output

May 29, 2025 //  by Finnovate

LandingAI, a pioneer in agentic vision technologies, announced the major upgrades to Agentic Document Extraction (ADE). Unlike traditional optical character recognition (OCR), ADE sees a PDF or other document visually, and uses an iterative workflow to accurately extract a document’s text, diagrams, charts, form fields, and so on to produce an LLM-ready output. ADE utilizes layout-aware parsing, visual grounding, and no-template setup, allowing for quick deployment and dependable outcomes without the need for fine-tuning or model training. A leading healthcare platform provider, Eolas Medical, is processing over 100,000 clinical guidelines in the form of PDFs and complex documents with ADE, streamlining the creation of structured summaries with the view to supporting over 1.2million queries per month from healthcare professionals on their platform. Their QA chatbot, powered by ADE, provides answers with direct references to the original documents, improving information traceability and reliability. In financial services, ADE is being used to automate document onboarding for use cases like Know Your Customer (KYC), mortgage and loan processing, and client due diligence. Visual grounding enables full auditability by linking extracted data directly to its source location in the document.

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Category: AI & Machine Economy, Innovation Topics

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