Digital collections contain valuable stories, but uncovering, describing and connecting content across large collections can be time-consuming. As collections grow, libraries face practical limits on how much content can be reviewed, enriched and curated manually.
Alma Specto combines AI-assisted workflows with librarian expertise to help libraries work more productive with large-scale collections. AI can identify entities, suggest metadata enrichments and surface connections across content, while librarians remain fully in control. Every recommendation can be reviewed, validated, refined or rejected, and the final decision always rests with the librarian.
In this on-demand demo, you'll see how Alma Specto helps library teams enhance metadata, support collection workflows and create richer discovery experiences while maintaining professional oversight and cataloging standards.
What you'll learn
How AI identifies people, places, organizations and objects across digital collections
How catalogers can review, validate and apply authority recommendations at scale
How librarians can enrich metadata more efficiently while maintaining control of the final record
How related entities can improve discovery and provide additional context for students and researchers
How Alma Specto supports the management of large and complex collections
How curated digital exhibitions can showcase collections and the stories they contain
This pre-recorded demo includes live 1:1 chat, so you can ask questions and receive answers in real time.