Benchmarks: Answer 99.16% of DocVQA Without Images in QA: Agentic Document Extraction Read More
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Accurate, Production-Ready AI
for Real-World Documents
Convert complex, real-world documents into accurate, structured outputs. Fully auditable, traceable, and production-ready from day one.
Agentic Document Extraction (ADE) delivers high accuracy with explicit confidence and audit-ready traceability.
Accuracy on complex docs
Proven on real-world layouts, complex tables, and multi-page documents—delivering consistent results in production, not just benchmarks.
Results come with proof
Verify parsed results with page numbers and precise coordinates for each chunk. Confidence scoring surfaces results that may need human review.
Unmatched Speed & Scale
Convert variable documents into accurate, auditable structured data.
- LLM-ready Markdown with layout-aware structure
- Structured content blocks including text, tables, and figures, with hierarchy preserved
- Precise citations for every block (page, coordinates, and table-cell grounding)
- Handles layout variability across scans, dense tables, forms, and multi-format documents
Automatically segment multi-document files into clean, classified sub-documents.
- Large-file splitting (handles long, multi-hundred-page batches)
- Instance detection using repeated identifiers (e.g., invoice number)
- Boundary overlap handling to keep context when breaks occur mid-page
Extract specific fields using schema you define.
- Schema-first extraction (flat or nested, arrays, multi-table)
- Large table extraction (thousands of rows across many pages)
- Auditability by default with bounding-box citations per value
Build what comes next
Power downstream workflows with structured, traceable outputs. Integrate easily via modular REST APIs and Python or TypeScript SDKs.
Retrieval-augmented generation (RAG)
Automation and downstream workflows
Search and analytics
And more downstream apps
An unified API across industries and use cases—without rebuilding pipelines for every new document format.
Financial services
Insurance
Accurately capture coverage terms, risk details, and line items to accelerate claims, streamline underwriting, and reduce manual review.
Healthcare
Extract structured data from complex medical documents while preserving context and supporting compliance requirements.
Energy & utilities
Process highly variable documents at scale, eliminate template maintenance, and feed analytics-ready data into enterprise systems.
Legal
Parse complex layouts and multi-column documents with full traceability, enabling faster review and reliable downstream analysis.
Logistics
Accurately capture shipment details, quantities, line items, and compliance data, even from complex tables and multi-page documents, to accelerate processing, improve tracking accuracy, and reduce manual reconciliation.
Vision-first
Data-centric
Agentic by design
SOC 2 Type II
Certified secure
GDPR & HIPAA
Compliant by design
Flexible Deployment
Cloud, on-premises, or virtual private deployment options
Data Privacy
Zero data retention option
1B+
Images and documents processed
Agentic Document Extraction has proven to be both accurate and easy to use. We are building on that foundation to deliver reliable, transparent, and scalable automation that our customers can validate and trust.”
Trust is the product. Accuracy alone isn’t enough at enterprise scale—what matters is provenance, traceability, and control. LandingAI gives us confidence that every extracted value can be traced back to its source, audited, and defended. That’s what makes it deployable in regulated, real-world environments.”
ADE has significantly outperformed other document extractors we’ve used. It has helped us build an Agentic RAG answer engine, based on unique healthcare institutional content, to offer instant, validated support to medical professionals at the point of care.”
How is ADE different from OCR + LLM approaches?
Most OCR + LLM stacks treat documents as plain text, then ask an LLM to “guess” structure. That breaks on real-world layouts (multi-column pages, nested tables, charts, forms) and makes audits hard.
ADE treats documents as visual systems. It extracts text with layout, preserves structure (tables, forms, headings), and returns visually grounded outputs with traceability back to the source—so you can see exactly where each field came from. The result is higher accuracy, fewer brittle heuristics, and better governance for production.
What document types does ADE support?
ADE can parse multiple file types, including PDFs, images, and spreadsheets. Supported types vary depending on how you use ADE (Playground vs API vs SDKs). For the complete, up-to-date list, see here.
What about data privacy and security?
Security is a core priority. LandingAI documents its security and privacy posture, including details like security practices, compliance certifications, and a Zero Data Retention (ZDR) option (where available). Learn more here.
How does pricing work?
ADE is available as monthly and annual subscriptions, and usage is typically measured in credits based on page processing. Full details here.