Andrea Kropp
October 17, 2025
Identity documents like passports, driver’s licenses, and green cards are difficult to automate because of complex layouts, security features, and compliance risks. Traditional OCR and templates fall short. ADE provides accurate, auditable, and scalable extraction with schema-driven, layout-aware parsing and visual grounding.
Ava Xia
October 16, 2025
Imagine your application needs to process data from a massive 1000-page contract or a 1-GB engineering report scanned into a single PDF. The upload completes, but now the parsing step grinds everything to a halt, blocking your app, slowing users down, and backing up your processing queue. Developers working with real-world documents know this pain […]
DeepLearning.AI
October 11, 2025
The Batch AI News and Insights: LandingAI’s Agentic Document Extraction (ADE) turns PDF files into LLM-ready markdown text.
Ava Xia
October 9, 2025
Agentic Document Extraction (ADE) from LandingAI brings handwritten information into the digital world by converting essays, prescriptions, and centuries-old manuscripts into structured, searchable, and analyzable data. Designed to interpret documents the way humans do, ADE combines vision-language intelligence with an agentic workflow that reads handwriting, tables, signatures, and stamps together as part of a single context.
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 […]
Building AI solutions with LandingAI’s Agentic Document Extraction Native App + Snowflake Cortex Authors: Randy Pettus — Partner Solution Engineer, Snowflake; Andrea Kropp — ML Engineer, LandingAI Nearly every enterprise runs on documents. However, these documents can be long, messy, complex, and multimodal, and they may include scanned forms, nested tables, charts, images, signatures, and footnotes. Often business […]
Tony Li
October 7, 2025
Today, we are pleased to announce the LandingAI Builder Program. Having been a founder myself, we have designed the program to help developers and start-ups to build quickly using Agentic Document Extraction. Our builders get access to our Development Center, which includes a rich set of tools, integrations, templates, early access to features, priority rate […]
LandingAI Team
October 3, 2025
The messy reality of enterprise documents has long been a wrestling match. Contracts arrive with embedded signatures, invoices are scanned at awkward angles and compliance files are littered with checkboxes, seals and stamps. While large language models within enterprise workflows have proved to be powerful and productive, they often stumble when faced with this kind of complexity.
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 […]
Join our Newsletter
Subscribe to our Newsletter to receive exclusive offers, latest news and updates.
