LandingAI's Agentic Document Extraction

LandingAI's Agentic Document Extraction goes beyond traditional OCR to provide intelligent document understanding, converting unstructured archived documents into LLM-ready data efficiently.

Key Highlights

• Intelligent Document Understanding: Captures details like form fields, tables, and checkboxes with accurate visual layout descriptions for downstream applications.
• Complex Layout Extraction: Parses documents into semantic chunks for high-quality data ingestion, supporting RAG in LLM applications. It offers zero-shot parsing of diverse formats (PDFs, scans, tables) and captures intricate semantic relationships.
• Accurate Extraction of Tables and Charts: Precisely extracts data from complex visual layouts, eliminating common errors from text-only analysis and enabling comprehensive data capture.
• Visual Grounding: Pinpoints exact locations of visual elements and text, enabling answer verification and building trust through transparent, traceable AI insights.
• Fast Document Automation: Processes documents rapidly (e.g., a typical document in 8 seconds, hundreds to thousands of pages per minute), removing pre-processing bottlenecks in RAG system pipelines.

Core Features

• ✓Parsing: Advanced document decomposition.
• ✓Enrichment: Adding context and meaning to extracted data.
• ✓Structured Schema Extraction & Classification: Organizing data into defined structures and categorizing documents.
• ✓Enterprise Security: Ensuring data safety and compliance.