According to DeepLearning.AI, traditional OCR is limited to character recognition and cannot interpret structural elements such as headers, totals, or checkboxes commonly found in tables, invoices, and forms (source: DeepLearning.AI, Jan 24, 2026). To address these shortcomings, their new course with LandingAI, 'Document AI: From OCR to Agentic Doc Extraction,' teaches how to build AI agents that decompose documents, apply specialized tools, and accurately map information to structured formats. This approach enables practical automation of complex document workflows and presents significant business opportunities for enterprises seeking to streamline data extraction and document processing using cutting-edge AI solutions.

According to @DeepLearningAI, the new course 'Document AI: From OCR to Agentic Doc Extraction' developed with LandingAI introduces Agentic Document Extraction (ADE), which surpasses traditional OCR by enabling AI models to interpret documents as visual objects. This approach allows extraction of structured data, including tables, charts, and reading order, outputting formats like Markdown and JSON mapped to specific regions on the page. The course, taught by David Park and Andrea Kropp, demonstrates practical applications of ADE for business automation, document analytics, and workflow integration, offering significant efficiency improvements over legacy OCR solutions (source: @DeepLearningAI, Jan 14, 2026).

According to Andrew Ng, Agentic Document Extraction, powered by the document pre-trained transformer (DPT) model, successfully extracted key financial metrics such as NVIDIA's $57.01B quarterly revenue from the latest 10-Q earnings report released just an hour ago (source: Andrew Ng on Twitter). The AI-driven extraction tool demonstrated high accuracy by comparing the original PDF directly to the structured output, showcasing immediate and reliable document data extraction capabilities for financial analysis and compliance. This advancement in document AI highlights business opportunities for automated financial reporting, due diligence, and enterprise workflow automation, enabling faster and more precise insights for AI-powered enterprise solutions (source: Andrew Ng on Twitter).