
LandingAI Agentic Document Extraction
Summary
LandingAI Agentic Document Extraction converts documents into structured data for downstream workflows, with Parse and Extract functions for different stages of processing. Parse produces machine-readable output while preserving document hierarchy and layout, and includes citations for content blocks and table cells. It handles PDFs, scans, and images across languages, including files up to 1 GB. Extract shapes results to a defined schema, can reconstruct multi-page tables, and links values to their source locations. Page references, coordinates, and confidence scores help make results auditable and identify items for human review. The service offers a REST API as well as Python and TypeScript libraries, and is available through API, web, and self-hosted platforms. Explore is free with 1,000 credits to start; the listed rate is $1 for 100 credits. Team costs 250.00 USD per month. Enterprise pricing is custom, with SaaS, VPC, and on-premises deployment options. Zero data retention is available on Team and Enterprise, while HIPAA processing requires that option and a signed BAA.
Who it is for
It suits teams that need to turn varied documents into schema-based data for operational workflows. Its API, libraries, and deployment options may fit teams with production or infrastructure requirements.
What is good
- Parses PDFs, scans, and images across languages.
- Handles files up to 1 GB.
- Links extracted values to source locations.
- Offers a REST API and Python and TypeScript libraries.
- Free Explore plan starts with 1,000 credits.
What to know first
- Team costs 250.00 USD per month.
- Enterprise pricing is custom and not listed.
- HIPAA processing requires zero data retention and a signed BAA.
Verdict
LandingAI combines document parsing, structured extraction, and source-linked review details. The free Explore tier provides a way to start, while Team and Enterprise offer additional options at stated or custom pricing.
LandingAI Agentic Document Extraction plans and pricing
All plansCompared on AI PDF tools
- Free plan
- Nolanding.ai
- Document types
- mixedlanding.ai
- Document classification
- Yeslanding.ai
- Data validation
- Yeslanding.ai
- Workflow routing
- Yeslanding.ai
- API access
- Yeslanding.ai
Facts
- Purpose
- Agentic Document Extraction converts documents into structured data for downstream workflows.landing.ai · 29 Sept 2026
- Parsing
- Parse returns machine-readable formats while preserving document hierarchy and layout, with citations for content blocks and table cells.landing.ai · 29 Sept 2026
- Extraction
- Extract returns schema-driven structured data, reconstructs multi-page tables, and links extracted values to their source locations.landing.ai · 29 Sept 2026
- Document handling
- Parse supports PDFs, scans, and images, works across languages, and handles files up to 1 GB.landing.ai · 29 Sept 2026
- Auditability
- Parsing results include page numbers and coordinates, and confidence scores can flag results for human review.landing.ai · 29 Sept 2026
- API and libraries
- The product offers a REST API and Python and TypeScript libraries for production workloads.landing.ai · 29 Sept 2026
- Integrations
- The pricing page lists purchasing through AWS Marketplace and Snowflake Marketplace.landing.ai · 29 Sept 2026
- Security
- LandingAI says it is SOC 2 Type II compliant and supports HIPAA processing on Team and Enterprise with zero data retention enabled and a signed BAA.landing.ai · 29 Sept 2026
- Data retention
- With zero data retention enabled, documents and intermediate processing data are deleted when processing finishes; the option is available on Team and Enterprise.landing.ai · 29 Sept 2026
- Deployment
- Enterprise plans include SaaS, VPC, and on-premises deployment options.landing.ai · 29 Sept 2026
- Support
- LandingAI lists email support for the Team plan and dedicated support for Enterprise; its support page gives [email protected] as a contact and says email support is available Monday through Friday.landing.ai · 29 Sept 2026
- Use cases
- LandingAI describes use in financial services, insurance, healthcare, energy and utilities, legal, and logistics workflows.landing.ai · 29 Sept 2026
- Company founding
- LandingAI says Andrew Ng founded the company in 2017.landing.ai · 29 Sept 2026
Company
- Founded
- 2017landing.ai · 28 Sept 2026
- Headquarters
- Mountain View, California, United Stateslanding.ai · 28 Sept 2026
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Sources
- landing.ai· checked 29 Sept 2026
- landing.ai/ade/parse· checked 29 Sept 2026
- landing.ai/ade/extract· checked 29 Sept 2026
- landing.ai/pricing-agentic-apis· checked 29 Sept 2026
- landing.ai/support· checked 29 Sept 2026
- landing.ai/leadership/andrew-ng· checked 29 Sept 2026
- landing.ai/agentic-document-extraction· checked 28 Sept 2026




