LandingAI launches Agentic Document Extraction for auditable, source-cited document data
By
Andrea Kropp
Summary
LandingAI, founded by Andrew Ng, introduces Agentic Document Extraction (ADE) — a document AI tool that converts documents into structured, source-cited JSON data. Unlike traditional black-box document tools, ADE provides agentic reasoning to handle unfamiliar documents without fine-tuning, source-cited outputs with bounding box traceability, and confidence scores on every field for auditability. It's designed for enterprise developers building document automation pipelines at scale.
Source
Product HuntLandingAI launches Agentic Document Extraction for auditable, source-cited document dataproducthunt.comKey quotes
· 5 pulledADE is a different way to turn any document into structured, source-cited data.
Most document tools are black boxes. You get an output... with no idea why it failed, or whether you can trust it.
Agentic reasoning — handles documents it's never seen, no per-doc fine-tuning or rule engineering
Source-cited JSON — every field traces back to its exact spot on the page, down to the bounding box
Confidence scores on every field — so you can trace, audit, and defend
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