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# LandingAI

> LandingAI makes Agentic Document Extraction (ADE), a set of document processing APIs based on proprietary AI models that convert complex, real-world documents into accurate, structured data for enterprise teams in document-intensive industries.

ADE is designed for organizations that process high volumes of complex documents — insurance claims, loan files, medical records, regulatory submissions, contracts, shipping records, and more. It handles document types and layouts that break traditional OCR and template-based systems: dense tables spanning multiple pages, handwriting, stamps, signatures, checkboxes, mixed file types (PDFs, images, spreadsheets, slides), and documents exceeding 1,000 pages.

Key capabilities include visual grounding with bounding-box citations (every extracted field is traceable to its exact location in the source document), confidence scoring, and schema-driven extraction that requires no templates or model training. These features make ADE well-suited for regulated industries where accuracy, auditability, and compliance are requirements, not nice-to-haves.

ADE is delivered as an API built for high-volume production workflows, with SDK support and VPC deployment options for organizations with strict data residency or security requirements.

A self-serve free trial is available at va.landing.ai. New accounts receive 1,000 credits — enough to process several hundred pages — with no sales conversation required.

## Use Cases by Industry

- [Industries Overview](https://landing.ai/industries): ADE use cases across financial services, insurance, healthcare, life sciences, logistics, legal, and other document-intensive industries.

## Getting Started

- [Free Trial](https://va.landing.ai): Start processing documents immediately. New accounts include 1,000 credits (several hundred pages) at no cost.
- [Quickstart Guide](https://docs.landing.ai/ade/ade-quickstart): Step-by-step guide to making your first ADE API call.
- [Code Examples & Resources](https://docs.landing.ai/ade/ade-code-examples-resources): Annotated examples for common document extraction workflows.
- [GitHub: ADE Sample Projects](https://github.com/landing-ai/ade-sample-projects): Open-source sample projects demonstrating ADE integration patterns.

## Developer Documentation

- [Documentation](https://docs.landing.ai): Complete product details and usage information.
- [API Reference](https://docs.landing.ai/api-reference/tools/): Complete reference for ADE document extraction endpoints.

## Pricing

- [ADE Pricing](https://landing.ai/pricing-agentic-apis): Pricing plans for ADE API access.
- [Pricing Details](https://docs.landing.ai/ade/ade-pricing): Credit usage, limits, and plan documentation.

## Security & Compliance

- [Security at LandingAI](https://landing.ai/security-at-landingai): Security posture, certifications, and data handling practices.
- [Trust Center](https://trust.landing.ai/): Compliance documentation, certifications, and security reports for regulated industry buyers.

## Benchmarks

- [DocVQA Benchmark write-up](https://landing.ai/blog/docvqa-benchmark): ADE performance on visual question and answering asks
- [Benchmark Document Gallery](https://landing-ai.github.io/ade-docvqa-benchmark/gallery.html): Actual documents in the DocVQA data set with ADE parse and q&a performance


## Optional

- [LandingAI](https://landing.ai): Company home page and ADE product overview.