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About
Landing AI is an agentic document intelligence platform built for enterprises that need reliable, high-accuracy extraction from complex, real-world documents at scale. At its core, the platform exposes three modular APIs: Parse, Split, and Extract. The Parse API converts variable documents—including scanned files, dense tables, forms, and multi-format layouts—into LLM-ready Markdown with full hierarchy and precise, page-level citations. The Split API automatically segments large, multi-document batches into clean, classified sub-documents using instance detection. The Extract API enables schema-first field extraction, supporting flat and nested schemas, large multi-page tables, and bounding-box citations for every extracted value. Landing AI is designed with auditability by default, making it suitable for regulated industries such as financial services, insurance, healthcare, energy and utilities, and legal. Its benchmarks show 99.16% accuracy on DocVQA tasks, and it is built to handle high-throughput processing with minimal human intervention. In addition to its document extraction capabilities, the platform also offers LandingLens, a low-code computer vision model training and deployment tool. Landing AI targets developers and enterprise teams who need production-grade document AI without sacrificing transparency or governance.
Key Features
- Parse API: Converts variable documents into LLM-ready Markdown with layout awareness, preserving structured blocks (text, tables, figures) and providing precise page and coordinate citations for every element.
- Split API: Automatically segments large, multi-document files into clean, classified sub-documents using repeated identifier detection and boundary overlap handling for context preservation.
- Extract API: Extracts specific fields using a user-defined schema (flat or nested), supports thousands-of-row tables across many pages, and provides bounding-box citations for every extracted value.
- Auditability by Design: Every extraction includes traceable confidence scores and bounding-box citations, making outputs fully auditable and compliant with enterprise governance requirements.
- High Accuracy on Complex Layouts: Benchmarked at 99.16% accuracy on DocVQA, the platform handles scans, dense tables, forms, and multi-format documents without requiring template configuration.
Use Cases
- Automating loan and credit underwriting document processing by extracting key figures and risk indicators from complex financial documents
- Streamlining insurance claims processing and underwriting by accurately capturing coverage terms, line items, and risk details
- Processing medical records and supporting revenue cycle management by extracting structured data from complex healthcare documents
- Handling legal document review by parsing multi-column contracts and regulatory filings into structured, searchable outputs
- Automating energy and utilities regulatory filing ingestion and vendor procurement document processing at scale
Pros
- Industry-leading accuracy: Proven 99.16% accuracy on DocVQA benchmarks, delivering reliable results even on complex, real-world document layouts without manual template setup.
- Built-in auditability and traceability: Every extracted value includes bounding-box citations and confidence scores, making the platform suitable for regulated industries that require governance and compliance.
- Modular, API-first design: The Parse, Split, and Extract APIs can be used independently or composed into end-to-end pipelines, offering flexibility for diverse document workflows.
Cons
- Developer-centric integration: The platform is primarily API-first and requires developer effort to integrate; non-technical users may find it less accessible without engineering support.
- Enterprise pricing complexity: While a free tier exists, production-scale usage and advanced features may require contacting sales for custom enterprise pricing.
Frequently Asked Questions
What is Landing AI's Agentic Document Extraction?
Agentic Document Extraction (ADE) is Landing AI's suite of vision APIs that autonomously parse, split, and extract structured data from complex, real-world documents with high accuracy and full auditability.
What types of documents does Landing AI support?
Landing AI handles a wide variety of document types including scanned files, dense tables, multi-column forms, multi-format PDFs, and large multi-page batches across industries like finance, insurance, healthcare, legal, and energy.
How does auditability work in Landing AI?
Every extracted value comes with bounding-box citations (page number, coordinates, table-cell grounding) and confidence scores, enabling teams to trace exactly where each piece of data originated in the source document.
Can Landing AI handle large document batches?
Yes. The Split API is designed for large-file splitting across multi-hundred-page batches, and the Extract API supports large table extraction spanning thousands of rows across many pages.
What is the difference between Landing AI and LandingLens?
Landing AI's Agentic Document Extraction focuses on document parsing and structured data extraction via APIs, while LandingLens is a separate low-code platform for labeling, training, and deploying custom computer vision models.
