How Video Teams Are Scaling Metadata Workflows with AI

Metadata is one of the most important layers in any video platform. It drives discoverability, shapes user experience, and supports monetization. Managing it is also one of the most manual processes in video operations. For most streaming and media teams, metadata still relies on human input across every asset. Titles, descriptions, keywords, and genres are written, reviewed, and updated one video at a time. As libraries grow, this becomes a bottleneck that slows down publishing, creates inconsistencies, and limits scale. Zype’s new AI-Powered Metadata Generation introduces a system-level approach to metadata, built directly into the Zype CMS and designed for teams managing large, distributed video catalogs.