Benchmarks: Answer 99.16% of DocVQA Without Images in QA: Agentic Document Extraction Read More

New Course! From OCR to Agentic Document Extraction Enroll Free Now

Pricing Choose a platform to continue

arrow icon

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

Right image

arrow icon

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

Right image

Login Choose a platform to continue

arrow icon

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

Right image

arrow icon

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

Right image

Start for Free Choose a platform to continue

arrow icon

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

Right image

arrow icon

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

Right image

Join this new short course on Document AI, built with LandingAI and taught by David Park, Senior Director of Applied AI, and Andrea Kropp, Applied AI Engineer at LandingAI.
,
AI extraction has reached a turning point. Models can now reason through document structure and variation with minimal configuration—which means the real opportunity lies in how quickly organizations can deploy that intelligence at scale, inside a secure, controlled environment.
ADE Split helps teams handle multi-document PDFs by separating parsed files into classified sub-documents. Learn how Split Rules enable accurate and scalable document processing across complex PDFs.
KYC document processing is a major bottleneck in financial onboarding, spanning identity proofs, address verification, and financial statements across varied formats. Manual review and traditional OCR struggle to scale, leading to delays, errors, and compliance risk. This blog shows how Agentic Document Extraction (ADE) enables layout-aware, automated KYC workflows that are faster, consistent, and audit-ready at scale.
Invoices are one of the most common yet difficult documents to automate at scale. Variations in layout, line-item tables, currencies, and scan quality often break traditional OCR and template-based systems. In this post, we explore how Agentic Document Extraction (ADE) parses real-world invoices, grounds every extracted field to its source, and produces reliable, schema-aligned data that holds up across diverse formats and high-volume workflows.
Real-time Radiology AI
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.
Enterprises depend on millions of unstructured documents — financial statements, medical forms, contracts, engineering drawings — that traditional OCR and LLM pipelines fail to handle. Without visual context or traceability, automation breaks, accuracy drops, and trust erodes.
Agentic Document Extraction (ADE) by LandingAI automates document-heavy processes in retail banking, including loans, KYC, and compliance. Its layout-aware visual AI extracts structured data accurately across varied formats, reducing manual effort and streamlining operations.