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Agentic Document Extraction
A new suite of agentic vision APIs — document extraction, object detection, and more.

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An end-to-end, low-code platform to label, train, and deploy custom vision models.

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Agentic Document Extraction
A new suite of agentic vision APIs — document extraction, object detection, and more.

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LandingLens
An end-to-end, low-code platform to label, train, and deploy custom vision models.

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Start for Free Choose a platform to continue

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Agentic Document Extraction
A new suite of agentic vision APIs — document extraction, object detection, and more.

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LandingLens
An end-to-end, low-code platform to label, train, and deploy custom vision models.

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The Batch AI News and Insights: LandingAI’s Agentic Document Extraction (ADE) turns PDF files into LLM-ready markdown text.
Ava Xia
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.
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 […]
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 […]
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
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 […]
LandingAI Expands Agentic Document Intelligence with A Document Pre-trained Transformer
LandingAI, a pioneer in agentic vision AI technologies, today announced its significantly upgraded version of Agentic Document Extraction (ADE) which will use a new model, Document Pre-trained transformer-2, to accurately extract information even from complex documents, to better inform organizational decision making.
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 […]
OCR to Agentic Document Extraction
Document processing has advanced through several waves: OCR for digitization, statistical and early machine learning methods for structure, and LLMs for reasoning. Each step solved part of the problem but left gaps in consistency, scale, or traceability. This blog explores that evolution and introduces Agentic Document Extraction (ADE), a Visual AI-first, schema-driven approach built to deliver reliable and auditable results for real-world enterprises.

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