In many museums, archives and heritage organisations, available metadata is not always complete, up to date or consistent enough to make collections optimally accessible. Valuable information often remains hidden in images, texts, audio fragments, video recordings or existing documentation. With Enrichment, we help take this step automatically and at scale. Based on the content of collection material, we generate or enrich metadata that can be used directly in collection and archive systems.

We help automatically enrich collection and archive data with metadata derived from the content of the material itself. We analyse texts, descriptions, scans, images, audio and video to make relevant information visible and usable for registration and access.

This form of enrichment is especially valuable when metadata is limited, differs strongly across subcollections or manual description at scale would take too much time. Automatic enrichment provides a first content layer that registrars, collection managers and archivists can review and refine.

An important part of this is content-based auto-tagging. Based on textual, visual or audiovisual analysis, relevant tags and descriptive terms can be suggested automatically.

Enrichment also supports the use of collection data across the organisation. Richer metadata supports search functions, digital access, research, selection, migration, collection management and public-facing applications.

Automatically generated metadata supports the registration and access process, but does not replace subject-matter expertise. We work according to the principle of human in the loop: the system makes suggestions while your team retains control over quality, relevance and context.