LandingAI Agentic Doc Extraction

59/100

Agentic doc extraction into structured JSON with visual grounding.

landing.ai

// scorecard · 59/100

verified 1mo ago

methodology →

Agent-readiness23/35

Agent registration (api_key)6/9

Public API5/5

OpenAPI spec0/9

MCP server9/9

llms.txt3/3

Reliability & performance0/15

Actively maintained—

Production-ready0/4

Updated recently—

Pricing12/13

Itemized public pricing6/6

Free tier / trial4/4

Free-tier generosity2/3

Docs & DX10/12

Docs quality6/8

Public API2/2

Quickstart / examples2/2

Security & compliance10/12

SOC 26/6

ISO 270010/2

GDPR2/2

Security / trust page2/2

Openness4/10

Open source0/6

Open / un-gated API4/4

Company maturity0/3

Company size—

Years operating—

// rankings · cost per standard workload

#13 in Document Extraction$300/ 10k pages

DPT-2 standard 3cr/page, $1=100cr = $0.03/page x10k = $300/mo (mini $150)

docs.landing.ai/ade

// overview

LandingAI Agentic Document Extraction (ADE) converts documents into accurate, structured data via end-to-end APIs for parse, split, and extract. It delivers LLM-ready Markdown with layout preservation, visual grounding via page/coordinates citations, confidence scores, and handles complex tables, multi-page files, and variable layouts. Outputs support RAG, automation, search, and downstream workflows with auditability for regulated industries.

Best for: Teams processing complex, multi-page or regulated documents needing traceable, high-accuracy extraction at scale

// pricing

Free tier · generosity 3/5

Includes: 1000 free credits on Explore plan

Limits: Pay-as-you-go after free credits; 100 credits per $1

Explorepay-as-you-go

Parse, field extraction, visual grounding, split/classification, multilingual

Team$250/month

27.5k credits/month, team management, email support, zero data retention option

Enterprisecustom

SaaS/VPC/on-prem, custom pipelines, SLAs, priority limits, Snowflake support

// security & compliance

✓ SOC 2✗ ISO 27001✓ GDPR✓ HIPAA

// features

Parse to structured Markdown/JSON with hierarchy and citations
Split and classify multi-document files by identifiers
Schema-first field extraction including nested/large tables
Visual grounding and confidence scoring
Multilingual documents and complex table handling
Agentic orchestration with feedback loops