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 ElevenLabs (@elevenlabsio), the company’s Analysis feature enables automated extraction of structured data from call transcripts, turning open-ended conversations into tangible insights for businesses. This AI-driven tool allows organizations to analyze large volumes of customer interactions, improving operational efficiency, customer experience, and decision-making processes by making unstructured data actionable (source: ElevenLabs Twitter, Jan 13, 2026).

According to NotebookLM (@NotebookLM), Data Tables have been rolled out to all Pro and Ultra users, with the feature coming to Free users in the coming weeks (source: Twitter). This new AI-powered tool enables users to synthesize facts and organize hidden insights from their sources, providing practical value for businesses seeking to streamline knowledge management and decision-making. Additionally, the ability to export data tables directly to Google Sheets enhances workflow integration, supporting efficient data analysis and collaboration. This development demonstrates ongoing innovation in AI-powered productivity tools and offers significant business opportunities for organizations looking to leverage structured knowledge extraction and automation in their operations.

According to Andrew Ng, Agentic Document Extraction now supports field extraction, enabling users to extract specific fields such as vendor name, item list, and prices from images or PDFs of invoices and structured documents (source: Andrew Ng, Twitter, July 10, 2025). This upgrade allows businesses to automate data capture from common business documents, significantly reducing manual entry and boosting operational efficiency. The feature is expected to streamline AI-powered document processing workflows, opening new opportunities for enterprises in finance, logistics, and administration to leverage AI for automated data extraction and reduce costs.