Reasoning models are good at thinking over text but documents aren’t just text. PDFs are visual artifacts—tables, columns, captions, footnotes—and flattening them erases structure and invites errors. This post shows how Model Context Protocol (MCP) lets an agent...
In this tutorial, we introduce a workflow that helps you obtain accurate structured information from unstructured lab reports. Your report with complex formats gets zero shot parsed into a hierarchical rich JSON with visual cues and layout information intact plus...
Agentic Document Extraction (ADE) from LandingAI extracts structured data from documents. Watch this recorded webinar to learn how to move from extraction to real-world application—transforming ADE outputs into intelligent workflows, faster decision-making, and...
In the world of document understanding, the smell test can be more honest than a suite of metrics. Such a suite of metrics or benchmarks built for someone else’s dataset and success criteria will likely be inconsequential for you. In fact, there isn’t a single, widely...
Agenda Use BeautifulSoup to locate the “Consolidated Financial Statements” PDF link on Apple’s FY2024 Q1 press‑release page. Use the ADE parse function from the Python library to extract key metrics—total revenue, net income and diluted EPS—from that PDF. Analyse and...
