LandingAI ADE is an API-first agentic document intelligence platform built for accuracy, reliability, and governance. Its vision-first approach preserves document layout while providing visual grounding for every extracted value—traceable to exact coordinates. With 99.16% DocVQA accuracy and zero data retention options, it's trusted by Fortune 100 financial institutions.




If you've ever tried to automate document processing at scale, you know the frustration. Your team spends countless hours manually reviewing complex financial statements, insurance claims, medical records, or legal contracts—documents with multi-column layouts, nested tables, and intricate forms that seem designed to defeat any automation attempt.
Traditional OCR + LLM solutions promised to solve this, but there's a fundamental problem: they treat documents as plain text. They strip away the visual structure, then ask the LLM to "guess" where the important information lives. The result? Accuracy suffers on anything beyond simple, single-column documents. Audit trails become a nightmare. And forget about tracing a specific extracted value back to its source—you'd need to dig through logs and make educated guesses.
This is exactly why LandingAI built Agentic Document Extraction (ADE).
ADE is an API-first agentic document intelligence platform that takes a fundamentally different approach. Instead of treating documents as text to be deciphered, it sees them as visual systems—preserving layout, structure, and relationships between elements. When you extract data from a complex table or a multi-page financial report, every value comes with visual grounding: precise coordinates that tell you exactly where in the original document that information lives.
This approach delivers real results. LandingAI has processed over 1 billion images and documents, achieving 99.16% accuracy on DocVQA benchmarks—performance that surpasses human accuracy. Their client roster includes multiple Fortune 100 financial institutions, and they're backed by industry leaders including Nvidia, Insight Partners, Intel Capital, and SoftBank Vision Fund.
What sets ADE apart isn't just one feature—it's a complete rethinking of how documents should be processed. Here's what you can actually do with this platform.
You have contracts, invoices, forms, and reports in dozens of formats—some digital, some scanned, some photographed. ADE's Parse function converts these into accurate, auditable structured data without requiring you to build templates for each format.
The secret is LLM-ready Markdown output that preserves layout awareness. Instead of flat text, you get structured blocks—text sections, tables, charts—that retain their hierarchical relationships. Each block includes precise references: page number, coordinates, and table cell locations.
With support for 128 document formats, you can throw pretty much anything at it—complex layouts, scanned documents, dense tables, multi-page PDFs—and get consistent, usable output.
Ever received a 200-page PDF that contains 50 different invoices mixed together? Split automatically separates multi-document files into clean, classified sub-documents. It detects duplicate identifiers (like invoice numbers), handles boundary overlaps to maintain context continuity, and processes hundreds of pages in a single batch.
This means your team no longer needs to manually break apart documents before processing. ADE handles it automatically.
Beyond parsing entire documents, Extract lets you define custom schemas to pull specific fields—financial amounts, dates, policy numbers, patient IDs, anything you need.
You can work with flat structures, nested objects, arrays, or multiple related tables. For large tables spanning thousands of rows across multiple pages, ADE maintains row continuity so your extracted data remains coherent. Every extracted value includes bounding box references by default, making audit trails built-in rather than an afterthought.
This is perhaps ADE's most powerful differentiator for enterprise use. Visual Grounding lets you trace every extraction result back to its exact location in the source document—page number, x/y coordinates, table cell position.
Why does this matter? Because in regulated industries, you need to defend your data. When a compliance reviewer asks "How did you arrive at this number?", you can show them precisely where in the original document it appears. This transforms document processing from a "black box" into a transparent, auditable process.
Not all extractions are created equal. Confidence Scoring provides a reliability metric for each extracted value, so you can automatically route low-confidence results for human review or set up quality gates in your automation pipeline.
For organizations operating across borders, ADE handles documents in multiple languages, enabling truly global document processing workflows.
ADE serves organizations across industries where document processing isn't optional—it's a daily operational necessity. Here's how different sectors are putting it to work.
Banks and financial institutions deal with mountains of complex documentation: loan applications, credit memos, risk assessments, quarterly reports. The challenge? Critical numbers, risk indicators, and transaction details often hide in complex tables and multi-page spreads where traditional OCR fails.
How ADE helps: Financial institutions use ADE to capture data from complex financial documents with high accuracy. This enables automated loan and credit approval workflows, streamlined KYC (know your customer) processes, and faster generation of regulatory reports. One global Tier 1 bank automated their client due diligence process, dramatically reducing processing time while maintaining auditability.
Insurance claims and policy documents are notorious for their variability. Underwriting条款, risk details, and line-item breakdowns require careful manual review—hours of work that could be automated.
How ADE helps: ADE extracts structured data from policy content and claims documents, accelerating claims processing, optimizing underwriting workflows, and even improving fraud detection by making it easier to cross-reference details across documents.
Medical records, clinical trial documents, and insurance claims all require meticulous handling—plus strict compliance with HIPAA and other regulations.
How ADE helps: Organizations extract structured data from complex medical documentation while maintaining HIPAA compliance (available on Team plans and above with proper BAA agreements). This supports automated revenue cycle management, more efficient medical record processing, and faster clinical research data extraction.
Legal documents present unique challenges: complex layouts, multi-column formats, dense paragraph structures, and the absolute necessity of being able to trace every conclusion back to its source.
How ADE helps: Law firms and corporate legal departments use ADE for contract review acceleration, more efficient M&A due diligence, and automated regulatory compliance review. The full traceability means every extracted data point can be verified against the original document.
Shipping manifests, customs documents, compliance forms—logistics operations generate enormous volumes of paperwork with tables, quantities, and regulatory data that must be accurately captured and reconciled.
How ADE helps: ADE automates freight verification, accelerates customs processing, and enables automatic auditing of shipping documentation. What used to require manual reconciliation now happens automatically.
Regulatory filings, asset management documents, supplier contracts—energy companies deal with highly variable documents that resist traditional template-based approaches.
How ADE helps: ADE provides end-to-end processing that eliminates the need to maintain hundreds of document templates. This enables automated regulatory reporting, more efficient asset management, and streamlined supplier procurement processes.
If your organization processes any document type with complex layouts—tables, multi-column formats, forms, or scanned images—ADE likely has an immediate application. Start by identifying your highest-volume, most time-consuming document types, and consider those your quick win candidates.
ADE offers tiered pricing to match different organization sizes and use cases. Here's the breakdown:
| Plan | Price | Credits | Best For |
|---|---|---|---|
| Explore | Pay-as-you-go | $1 = 100 credits (500-1000 free) | Individual developers, prototypes |
| Team | $250-$1,500/month (annual: $2,700-$16,200) | $1 = 110-122 credits (+10%) | Small teams, growing businesses |
| Visionary | $2,000-$5,000/month (annual: $21,600-$54,000) | $1 = 130-144 credits (+30%) | Organizations needing confidence scoring |
| Enterprise | Custom | Custom | Large deployments, full customization |
Perfect for individual developers or teams just starting to explore document automation. Get 500-1000 free credits to start, then pay-as-you-go at $1 per 100 credits. Includes Parse, Field Extraction, Visual Grounding, Document Splitting, Multilingual Support, and full API access.
At $250-$1,500/month (billed annually at $2,700-$16,200), Team adds team management features, unlimited API key creation with usage tracking, email support, Zero Data Retention (ZDR) option, and HIPAA compliance support (with BAA agreement).
Annual billing gets you a 10% credit bonus—$1 buys you 110-122 credits instead of 100.
At $2,000-$5,000/month (annual: $21,600-$54,000), Visionary adds Confidence Scoring so you can identify and route low-confidence extractions, plus Slack support for faster issue resolution.
Annual billing provides the best value: up to 30% more credits per dollar.
For large organizations needing complete control, Enterprise offers custom pricing with everything in Visionary plus:
Overage pricing: If you exceed your plan allocation, additional usage is billed at $0.01 per credit.
Start with Explore to validate ADE works for your specific document types—it only takes a few hundred credits to test. When you're ready to scale, Team provides the best balance of features and value for most organizations. If confidence scoring is critical for your quality gates, Visionary delivers the additional insight you need.
Most OCR + LLM stacks treat documents as plain text, then ask the LLM to "guess" the structure. This fails on real-world layouts—multi-column pages, nested tables, forms—and makes auditing nearly impossible.
ADE treats documents as visual systems. It extracts text with layout preserved, maintaining structure (tables, forms, headers) and returning output with visual grounding you can trace back to the exact source location. The result: higher accuracy, fewer fragile heuristics, and built-in governance for production use.
ADE can parse a wide range of file types including PDFs, images, and spreadsheets. The exact supported types vary slightly depending on whether you're using the Playground, API, or SDKs—check the documentation for details on your preferred interface.
Security is foundational to ADE's design. The platform is SOC 2 Type II compliant and GDPR compliant. For organizations with strict data handling requirements, Zero Data Retention (ZDR) options are available—your data is processed and then discarded, never stored. Data in transit uses TLS 1.2+, and data at rest uses AES-256 encryption. Storage regions include AWS US East (Ohio) and AWS EU (Ireland).
Yes, HIPAA compliance is available on Team, Visionary, and Enterprise plans. To enable HIPAA compliance, you must enable the Zero Data Retention option and sign a Business Associate Agreement (BAA) with LandingAI.
ADE offers monthly and annual subscription plans. Usage is typically measured in credits consumed per page processed. The Explore plan uses pay-as-you-go pricing, while Team, Visionary, and Enterprise offer committed monthly or annual volumes with volume-based pricing (10-30% savings on annual plans). Overage usage beyond your plan limit is charged at $0.01 per credit.
LandingAI ADE is an API-first agentic document intelligence platform built for accuracy, reliability, and governance. Its vision-first approach preserves document layout while providing visual grounding for every extracted value—traceable to exact coordinates. With 99.16% DocVQA accuracy and zero data retention options, it's trusted by Fortune 100 financial institutions.
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