Document Intelligence
Multimodal document extraction

Document Intelligence Multimodal Extraction Service

Overview

The Document Intelligence Multimodal Extraction Service transforms unstructured documents into accurate, validated data through an advanced AI-powered pipeline. This service combines sophisticated document classification, intelligent extraction, and structured storage to ensure reliable data processing at enterprise scale.

The Extraction Service leverages multi-modal AI capabilities along with business-defined configurations to ensure accurate and consistent extraction across all your document types, preparing data for autonomous processing by Worker Agents.

Document Intelligence Multimodal Extraction Service Architecture
Document Intelligence Multimodal Extraction Service Architecture

Key Components & Concepts

Processing Flow

1. Document Arrival & Classification

When a document arrives in S3:

  • Trigger detects new document
  • Extracts classification from path
  • Initializes extraction context
  • Prepares document for processing

Classification through S3 path structure ensures reliable document routing while maintaining clear organization of your document processing workflows.

2. Intelligent Extraction

The extraction engine applies multiple layers of intelligence:

  • Base field and table mappings
  • Custom extraction prompts
  • Visual annotation rules
  • Multi-shot examples

Visual annotations combined with multi-shot examples significantly improve extraction accuracy for complex document layouts.

3. Validation & Storage

Final processing stages:

  • Validates extracted content
  • Transforms to standard format
  • Stores in DocumentDB
  • Creates work item trigger

Always ensure extraction configurations are thoroughly tested across a representative sample of documents before deployment.

Best Practices

Next Steps