LandingAI provides Agentic Document Extraction (ADE), a set of vision-based APIs that convert complex enterprise documents into accurate, auditable structured data for automation pipelines.
About
LandingAI builds Agentic Document Extraction (ADE), a family of document processing APIs that turn complex, real-world documents into structured, machine-readable data. The product targets a persistent enterprise problem: documents such as multi-page tables, forms, scans, and mixed PDFs defeat traditional OCR and template-based systems, leaving teams with manual data entry and error-prone rework.
ADE works through a set of composable REST APIs — Parse, Extract, Split, Section, Classify, and Build Schema — backed by LandingAI's proprietary vision models. Every extracted value carries bounding-box citations and confidence scores, so results can be traced to the exact source location and audited, which matters in regulated industries. The company positions its approach as agentic: the system plans, decides, and verifies each document until quality thresholds are met. Outputs feed downstream workflows like RAG pipelines, reconciliation, and compliance reporting, and the service is available as cloud SaaS, in a VPC, inside Snowflake, or fully on-premises.
Key Features
Pricing & Fees
- Pricing: Credit-based usage pricing. The Explore plan is pay-as-you-go at $1 per 100 credits with 1,000 free credits to start; the Team plan starts at $250 per month for 25,000–200,000 monthly credits; Enterprise is custom-priced. Median cost is 1.5 credits per page for Parse and 1.5 for Extract.
- Free trial: A self-serve free trial is available with 1,000 credits — enough for several hundred pages — with no sales conversation required.
- Security and compliance: SOC 2 Type II certification, GDPR and HIPAA compliance (with BAA on Team plans and above), and a zero data retention option.
- Deployment options: Cloud SaaS in US and EU regions, VPC deployment on AWS, Azure, or GCP, availability inside Snowflake, and fully on-premises installations.
- Marketplace purchasing: Credits can also be purchased through AWS Marketplace or Snowflake Marketplace.
Who It's For
LandingAI is aimed at enterprise developers and engineering teams in document-intensive industries — financial services, insurance, healthcare, energy and utilities, legal, and logistics. Typical users include mortgage lenders reconstructing borrower income from loan files, banks running KYC workflows, life insurers extracting APS records and lab results, and solution providers building business process automation for customers. It also suits teams building retrieval-augmented generation pipelines or turning document archives into queryable datasets, particularly where accuracy, traceability, and regulatory auditability are required.
FAQ
What is LandingAI's Agentic Document Extraction?ADE is a set of APIs based on LandingAI's proprietary vision models that convert complex documents — dense tables, handwriting, signatures, checkboxes, mixed file types — into accurate structured data with per-value citations.
How much does LandingAI cost?Pricing is credit-based: $1 buys 100 credits on the pay-as-you-go Explore plan, the Team plan starts at $250 per month, and Enterprise pricing is custom. New accounts get 1,000 free credits.
How is ADE different from OCR plus an LLM?According to the vendor, ADE uses vision-first models that handle complex layouts and multi-page tables that break traditional OCR and template systems, and every extracted value is traceable to its exact source coordinates for auditing.
How can developers integrate it?ADE offers REST APIs with Python and TypeScript libraries, open-source sample projects on GitHub, MCP and agent tooling, and sync or async processing, with EU- and US-hosted SaaS, VPC, Snowflake, and on-premises deployment options.
What about data privacy and security?LandingAI is SOC 2 Type II certified, GDPR and HIPAA compliant with BAA available on paid plans, and offers a zero data retention option alongside VPC and on-premises deployment.
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