landing-ai

landing-ai

Landing AI provides Agentic Document Extraction (ADE), a vision-first, production-ready document AI platform that converts complex, multi-page documents into accurate, auditable structured data via APIs and SDKs for regulated enterprise workflows.

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#446 in AI Agents (446 tools)
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Data reviewed Aug 15, 2026

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Quick Overview

Best for: AI Agents

What it does

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Pricing snapshot

Free

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landing-ai

Landing AI's Agentic Document Extraction (ADE) is a production-ready document AI platform that converts variable, complex documents into accurate, auditable structured data. ADE is vision-first and uses proprietary vision models and agentic orchestration to handle dense layouts, large tables, forms, and multi-page documents while preserving layout, table fidelity, and citations for traceability. The platform targets enterprise and regulated workflows (financial services, healthcare, insurance, legal, logistics, energy & utilities), offering modular REST APIs and SDKs for Python and TypeScript and deployment options including cloud, on-premises, or virtual private deployments.

Landing AI provides a visual AI platform for building and deploying computer vision models.

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Key Features

Parse

Convert variable documents into accurate, auditable structured data; produces LLM-ready Markdown with layout-aware structure and structured content blocks including text, tables, and figures with hierarchy preserved.

Split

Automatically segment multi-document files into clean, classified sub-documents; supports large-file splitting for multi-hundred-page batches and classification across mixed document types.

Extract (Schema-first)

Schema-first extraction supporting flat or nested schemas, arrays, multi-table extraction, and large tables (thousands of rows) with auditability and bounding-box citations per value.

Precise citation & grounding

Results include page numbers and precise coordinates for each chunk, plus table-cell grounding and confidence scores to surface items for human review.

Agentic orchestration

Agentic design adapts processing (planning, deciding, verifying) until quality thresholds are met for each document.

Scalability & speed

Claims of high throughput handling thousands of pages per minute and sub-2 second processing time in customer references.

Deployment & compliance

Flexible deployment options (cloud, on-premises, virtual private) and compliance features such as SOC 2 Type II, GDPR & HIPAA mentions and a zero data retention option.

Pricing

Free Tier Available

Free trial available — 'Start for Free' with no credit card required for the trial.

Use Cases

Retrieval-augmented generation (RAG)

Produce semantically chunked, grounded content to power accurate retrieval and RAG pipelines with traceable citations.

Automation & downstream workflows

Automate reconciliation, compliance checks, reporting, approvals, and other processes that require structured, auditable document data.

Search & analytics

Turn document archives into queryable, structured datasets for analytics and enterprise search.

Industry-specific processing

Specialized pipelines for financial services (loan underwriting, KYC, regulatory reporting), healthcare (clinical documents), insurance, legal, energy & utilities, and logistics.

Integrations

REST API

Modular REST APIs designed for real workflows to parse, split, and extract structured data.

Python SDK

Python library for integrating ADE into pipelines and applications.

TypeScript SDK

TypeScript library for integrating ADE into web and server-side JavaScript applications.

Benefits

High, demonstrable accuracy on complex layouts, tables, and multi-page documents with confidence scoring.
Audit-ready outputs with precise page and coordinate citations enabling provenance and traceability.
Scalable processing that eliminates bottlenecks (thousands of pages per minute) and supports regulated deployments.
Flexible integration via REST APIs and SDKs and multiple deployment options (cloud, on-premises, VPC).
Designed to reduce manual review by surfacing low-confidence values for human verification.

Limitations

Claim this listing to add transparent limitations.

Frequently Asked Questions

How is ADE different from OCR + LLM approaches?
Teams using generic LLMs often struggle with hallucinations and missing source attribution. ADE is vision-first, extracting structured JSON with full grounding. It preserves layout and structure—tables, forms, and headings—delivering higher accuracy, fewer brittle heuristics, and stronger governance for production.

Getting Started

  1. 1 Step 1: Start for Free — sign up for the free trial (no credit card required).
  2. 2 Step 2: Try your documents with the 'Try with your files' or upload flow to see structured outputs and traceability.
  3. 3 Step 3: Integrate via modular REST APIs or use Python/TypeScript libraries to incorporate ADE into workflows.
  4. 4 Step 4: For enterprise deployment or high-volume needs, contact Landing AI Sales/Support or consult onboarding resources.

Support

docs

Documentation available via the site's Resources > Documentation.

onboarding

Onboarding resources and events referenced under Resources and Onboarding.

sales

Enterprise Sales / Contact Us for large deployments and procurement.

support

Support and Trust Center links are available from the site for operational and security inquiries.

API

Available: Yes
Documentation:

Documentation and developer resources available under Resources > Documentation on the Landing AI site.

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