Landing AI

Landing AI

Landing AI's Agentic Document Extraction provides a comprehensive platform for automated data parsing with zero-shot layout detection.

Free + paidWebAPIKoreanLLM-basedMultimodal
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Overview

Landing AI's Agentic Document Extraction provides a comprehensive platform for automated data parsing with zero-shot layout detection. It reliably handles complex tables, multi-column layouts, and handwritten forms while preserving visual structure. The tool supports multiple file types including PDFs and spreadsheets via a unified API, offering industry-leading accuracy with visual grounding and full traceability. It is designed for high-throughput, mission-critical workflows in sectors like healthcare, finance, and logistics. Integration is streamlined through REST APIs and SDKs for Python and TypeScript.

Key features

  • Zero-shot layout detection for complex documents
  • Unified API support for PDFs, images, and spreadsheets
  • Full traceability with visual grounding and confidence scores
  • Easy integration via REST APIs and Python/TypeScript SDKs

Pros & cons

Collected from user feedback found in web search

Pros

  • Unlocks Value of Unstructured Data
  • Actionable Intelligence
  • Turn complex, real-world documents into reliable, structured data—with 99% accuracy, full auditability, and zero training required.
  • Agentic Document Extension
  • Document Understanding with Visual Context
  • Build and Deploy Computer Vision Models

Pricing

Free + paidStarting price: US$250/mo
View pricing page

Verified on:

Use cases

  • Streamlining healthcare patient intake and billing
  • Extracting data from financial statements and risk forms
  • Accelerating logistics shipment and customs processing

Who it is for

EnterprisesDevelopers

Integrations

SnowflakeDatabricksAWSMicrosoft Azure

Tags

API

How we verified this

Company, pricing, and feature details come from the primary sources below and our latest verification pass. When sources disagree, the official source and the most recent check win.

Last verified 09/06/2026Verified sources: 1

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