The Metadata Enrichment feature in Alma Specto helps catalogers generate high-quality metadata for digital resources using AI. This functionality is designed to streamline the creation of Bibliographic records by automatically suggesting descriptive, structural, and administrative metadata based on the content of the uploaded digital files.
By leveraging AI, the Metadata Enrichment process minimizes manual input, enhances consistency, and speeds up the cataloging process while giving catalogers retain control over the final record.

For a step-by-step guide on how to enrich metadata with Specto, see Metadata Enrichment Workflow.