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Knowledge Enrichment

Hyland’s Knowledge Enrichment APIs transform raw, unstructured content into structured, enriched data that is ready for AI, automation, analytics, and solution-building. This API-driven approach extracts key entities, applies metadata, and links contextual information to ensure content is machine-readable and actionable from the outset. Knowledge Enrichment consists of two core components:

  • Data Curation focuses on structuring and normalizing unstructured data so it’s clean and usable. Powered by Hyland Document Filters, it enables the extraction and transformation of data from over 600 file formats while preserving document context.
  • Context Enrichment enhances data by linking it with relevant contextual information, improving searchability, AI processing, and decision-making.

Together, these APIs streamline data preparation, reduce manual effort, and accelerate AI deployment while ensuring compliance and data integrity.