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LandingAI Agentic Document Extraction (ADE)

LandingAI's Agentic Document Extraction (ADE) is an API-driven document AI platform that converts documents into accurate, structured, auditable data for enterprise document automation pipelines.

ProductivityDeveloper ToolsEnterprise SoftwareDocument ProcessingDocument AI

About LandingAI Agentic Document Extraction (ADE)

LandingAI Agentic Document Extraction (ADE)

LandingAI offers agentic APIs for intelligent document processing. Its core APIs include Parse (converting documents into LLM-ready Markdown with layout-aware structure, with page and coordinate citations), Split (segmenting multi-document files into classified sub-documents), and Extract (pulling specific fields from documents using a user-defined schema, with bounding-box citations per value). The page describes a vision-first approach, confidence scoring to flag results needing human review, and modular REST APIs with Python and TypeScript libraries. It states support for industries including financial services, insurance, healthcare, energy and utilities, legal, and logistics, and mentions SOC 2 Type II certification, GDPR and HIPAA compliance, cloud, on-premises, and virtual private deployment options, and a zero data retention option.

Key features

  • Parse: converts documents into LLM-ready Markdown with layout-aware structure
  • Parse: structured content blocks including text, tables, and figures with hierarchy preserved
  • Parse: precise citations for every block including page, coordinates, and table-cell grounding
  • Split: segments multi-document files into classified sub-documents
  • Split: large-file splitting for long, multi-hundred-page batches
  • Split: instance detection using repeated identifiers such as invoice number, date, or order ID
  • Extract: schema-first extraction with flat or nested fields, arrays, and multi-table support
  • Extract: large table extraction across many pages
  • Extract: bounding-box citations per extracted value
  • Confidence scoring to surface results that may need human review
  • Modular REST APIs with Python and TypeScript libraries
  • Cloud, on-premises, or virtual private deployment options
  • Zero data retention option

Best suited for

  • Loan and credit underwriting
  • Know your customer (KYC) processes
  • Regulatory reporting
  • Retrieval-augmented generation (RAG) pipelines
  • Reconciliation, compliance checks, and approvals
  • Turning document archives into queryable, structured datasets
  • Regulated industries requiring traceable document data

Pricing

Not stated on the website. The FAQ says pricing is based on document volume and features, with flexible plans and a custom quote via sales contact. A free trial with no credit card required is mentioned.

OCRAPIRAGstructured datadocument extractiondocument AIintelligent document processing

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