Tutorial
Healthcare teams process thousands of radiology reports every day, each packed with important diagnostic information in the form of images and text. When you can analyze these documents in real-time, it opens up possibilities for much faster information access and better clinical workflows.
Qiang He
November 6, 2025
In the era of large language models, a silent barrier has emerged for non-English speakers. Despite the revolutionary capabilities of modern AI, there’s an uncomfortable truth: most mainstream models are trained predominantly on English corpora, creating an implicit performance gap that affects text parsing, information extraction, and document processing across languages. For organizations processing Chinese […]
Bianca Ragsdale
October 28, 2025
Your team processes hundreds of property insurance claims daily. Some arrive as PDFs, others as scanned images. One claim might list the policyholder's name as "John Smith," while another uses "Smith, John." The data you need is in there somewhere, but getting it out consistently? That's the challenge.
Andrea Kropp
October 9, 2025
Parsing utility bills at scale sounds straightforward—until you face the reality of hundreds of providers, inconsistent layouts, fuzzy scans, and time-critical reporting cycles. Manual review and brittle templates are no longer sustainable. What’s needed is a parsing approach that balances accuracy, throughput, and compliance while reducing operational overhead. LandingAI’s Agentic Document Extraction (ADE) introduces a […]
Ava Xia
October 2, 2025
Today we are sharing a powerful solution for a high-volume document extraction pipeline which lands data into Snowflake. Built specifically for Snowflake Data Engineers, the GitHub repo provides an end-to-end workflow which provides performance at scale: cost‑efficient document processing in the cloud and streaming ingestion into Snowflake. This agentic document extraction workflow offers: We’ll walk […]
Bastiane Huang
September 30, 2025
When we first launched Agentic Document Extraction (ADE), our focus was on breaking documents into agentic chunks: text, tables, figures. That was already a step forward from monolithic OCR, because it gave developers structured building blocks. But in the real world, documents aren’t that simple. A financial report may include tables, signatures, stamps, and logos […]
Ava Xia
September 16, 2025
This tutorial goes step by step into the process of building a MCP Server for Intelligent Document Processing using LandingAI's Agentic Document Extraction
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 discover and call LandingAI’s Agentic Document Extraction (ADE) for layout-aware parsing.
Ankit Khare
August 28, 2025
Turn complex lab reports into clean, structured data ready for analysis and dashboards using zero-shot parsing and schema-guided extraction
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