Tutorial
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
Ankit Khare
August 14, 2025
Agenda Introduction Public companies in the United States must file an annual Form 10‑K with the U.S. Securities and Exchange Commission (SEC). The 10‑K is a comprehensive financial report that includes a company’s history, organizational structure, financial statements, earnings per share and other disclosures[1]. These filings provide investors with a detailed snapshot of a company’s operations […]
Ankit Khare
May 29, 2025
I’m sure—like myself and millions of others—you’ve spent hours copying and pasting the same information into job applications 🥱🎯. In this tutorial, we’ll walk through how you can build a powerful automation tool that extracts key data from your resume and fills out LinkedIn job applications for you—automatically! Thanks to LLMs, “developer” is now a […]
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