Tool overview
Landing AI is listed under AI Infrastructure & MLOps AI tools.
What is Landing AI?
Landing AI Agentic Document Extraction parses, splits, classifies, and extracts structured data from complex documents with visual grounding, confidence signals, citations, and REST, Python, and TypeScript interfaces.
Best for
Teams automating complex document processing
Who is it for?
Decision note
Rebuilt from the original export under the complete V412/V411 factual-source-verification workflow. Preview only. Apply remains blocked until Failures = 0, Warnings = 0, Unmapped = 0, Missing = 0; explicit clears are reviewed; image import is disabled; a representative WordPress edit screen is compared with the export and proposed row; and a post-Apply zero-change Preview succeeds.
Key features
Parse, Extract, Split, Classify, and Section APIs
Visual grounding and bounding-box citations
REST API with Python and TypeScript SDKs
SaaS, VPC, on-premises, and Snowflake options
Use cases
Extract structured fields from documents
Prepare auditable RAG content
Split mixed document packages
Automate regulated document workflows
Pros
- 1,000 free credits to start
- One credit has a fixed one-cent value
- Enterprise private deployment options
Limitations
Credit consumption varies with service, model, characters, and service tier.
Human review is still needed for high-impact extracted fields.
Pricing details
Billing options
Pricing note
Explore starts with 1,000 free credits; one credit equals $0.01. Team is $250/month with 25,000 credits. Enterprise is custom. Actual document cost depends on service tier, model, and returned characters.
Supported languages
- English
Integrations
REST API
Python SDK
TypeScript SDK
AWS Marketplace
Snowflake
S3
Azure Blob
Google Cloud Storage
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