What is Landing.ai?
Agentic Document Extraction delivers vision‑first structured data from PDFs, images, and spreadsheets with audit‑ready traceability. The platform parses complex layouts—including dense tables, multi‑column pages, and forms—while preserving hierarchy and providing precise bounding‑box citations for every extracted value.
Modular REST APIs enable parsing, splitting, and schema‑driven extraction, supporting nested fields, arrays, and multi‑page documents without the need for fine‑tuning. Agentic orchestration adapts to each document, planning, validating, and verifying outputs until predefined quality thresholds are met.
The solution integrates easily into existing workflows through Python or TypeScript SDKs and supports on‑premises or cloud deployment for regulated environments. It is tailored for industries such as finance, insurance, healthcare, energy, legal, and logistics, where accuracy, traceability, and governance are critical.
Landing.ai pricing Subscription
Verify on the official pricing page.
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Landing.ai's key features
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Vision-based document extraction
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Structured data with hierarchy
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Audit-ready traceability with coordinates
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Modular REST API integration
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Schema-first field extraction
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Large-file splitting support
Landing.ai use cases
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Automate extraction of nested fields from multi-page insurance policy PDFs, preserving layout and providing bounding-box citations for audit compliance.
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Parse complex layout spreadsheets of procurement contracts, extracting structured data and generating traceable evidence for procurement regulators.
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Enable on‑prem extraction of patient consent forms in regulated healthcare settings, delivering schema‑driven data and audit trails to meet HIPAA requirements.
Who is it for?
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Manufacturing engineers
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Quality assurance engineers
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Operational analysts
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Production supervisors
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Process improvement leaders
