Introduction

Hyland’s Knowledge Enrichment APIs convert raw, unstructured content into structured and enriched data that is optimized for AI, automation, analytics, and solution development. These APIs extract key entities, apply metadata, and enrich content with contextual links, ensuring data is machine-readable and actionable from the start.

Some of the key capabilities of Knowledge Enrichment APIs include:

• Entity Extraction: Identify and extract meaningful entities from documents
• Metadata Tagging: Automatically assign metadata for improved organization and retrieval
• Contextual Linking: Enhance content by linking it to relevant contextual information
• Streamlined Data Preparation: Automates extraction and enrichment tasks
• Accelerated AI Deployment: Delivers machine-ready data faster
• Reduced Manual Effort: Minimizes time spent on cleaning and formatting
• Data Integrity and Compliance: Ensures consistent handling of sensitive or regulated content

The Hyland Knowledge Enrichment APIs include two core components:

• Data Curation API
• Context API