LandingAI

Agentic Document Extraction (ADE)

Agentic Document Extraction (ADE) delivers high accuracy with confidence scores and audit-ready traceability. It is designed to handle complex documents, ensuring consistent results in production environments, not just in benchmarks. Users can verify parsed results with page numbers and precise coordinates, enhancing trust in the data extracted.

Parse

The Parse feature converts variable documents into accurate, auditable structured data. It produces LLM-ready Markdown with layout-aware structure, preserving the hierarchy of structured content blocks including text, tables, and figures. Users can interact with precise citations for every block, ensuring traceability across various document formats.

Split

The Split feature automatically segments multi-document files into clean, classified sub-documents. It efficiently handles large-file splitting for long batches and classifies mixed document types within a single PDF. Users can utilize instance detection using repeated identifiers like invoice numbers or dates for better organization.

Extract

The Extract feature allows users to extract specific fields using a schema they define. It supports schema-first extraction, whether flat or nested, and can handle large tables with thousands of rows across many pages. This feature ensures auditability by default with bounding-box citations for each extracted value.

APIs designed for real workflows

LandingAI provides an end-to-end API to parse, split, and extract structured data from any document. This integration allows users to power downstream workflows with structured, traceable outputs, making it easy to incorporate into existing systems. The modular REST APIs and libraries in Python or TypeScript facilitate seamless integration.

Retrieval-augmented generation (RAG)

The RAG feature offers accurate retrieval powered by semantic chunking, providing deeper context for users. This capability enhances the quality of information retrieval, making it suitable for complex queries and data extraction tasks.

Automation and downstream workflows

This feature enables reconciliation, compliance checks, reporting, and approvals without manual reviews. It streamlines processes by automating repetitive tasks, allowing teams to focus on higher-value activities.

Search and analytics

The Search and analytics feature transforms document archives into queryable, structured datasets. This capability allows users to efficiently search through large volumes of documents and extract meaningful insights from their data.

Enterprise security, startup speed

LandingAI is designed for regulated environments, ensuring that security measures do not slow down teams. It combines enterprise-level security with the agility of a startup, allowing for rapid deployment and operation.

SOC 2 Type II Certified secure

LandingAI is SOC 2 Type II certified, ensuring that it meets high standards for security and data protection. This certification provides users with confidence in the security measures implemented within the platform.

GDPR & HIPAA Compliant by design

The platform is designed to be compliant with GDPR and HIPAA regulations, ensuring that user data is handled with the utmost care and in accordance with legal requirements. This compliance is crucial for users in regulated industries.

Data Privacy - Zero data retention option

LandingAI offers a zero data retention option, allowing users to maintain strict control over their data privacy. This feature ensures that sensitive information is not stored longer than necessary, aligning with best practices for data protection.

Unmatched speed & scale

ADE eliminates processing bottlenecks and scales effortlessly, handling thousands of pages per minute. This performance capability is essential for organizations that require rapid document processing without sacrificing accuracy.

Accuracy on complex docs

The system has been proven to deliver high accuracy on real-world layouts, complex tables, and multi-page documents. This feature ensures that users receive consistent results in production environments, enhancing trust in the data processed.

Results come with proof

Parsed results come with verifiable proof, including page numbers and precise coordinates for each chunk. This feature enhances the reliability of the data extracted, allowing users to identify and review results that may need human intervention.