DBGallery adds AI knowledge layer to enterprise DAM

DBGallery rolled out an AI Knowledge Layer for visual assets on September 15, 2026, to automate metadata creation for photos and videos. The update is meant to make enterprise-grade digital asset management easier for smaller teams that cannot manually tag large libraries.

Why it matters: - DBGallery is targeting a long-standing barrier in digital asset management: the manual work needed to make large photo and video libraries searchable. - The new AI Knowledge Layer is designed to turn visual files into structured, reusable business data for municipalities, schools, non-profits, agencies and mid-market companies. - The feature set could broaden access to enterprise DAM for organizations that do not have staff to support heavy keywording workflows.

What happened: - DBGallery announced the rollout of its AI Knowledge Layer for Visual Assets on September 15, 2026. - The release positions the capability as a way to bring enterprise-grade DAM to organizations of all sizes. - The system automatically generates structured AI metadata when users upload photos and videos. - DBGallery says the approach removes the need for manual tagging.

The details: - The platform can extract OCR text from images and PDFs. - The system identifies objects and faces. - The platform summarizes video content. - Users can create custom global or image-specific AI prompts to generate structured metadata. - The output can be formatted as HTML or JSON for ingestion into web apps or ERP systems. - The system generates time-stamped, sentence-by-sentence video transcripts aligned with playback. - Users can click a transcript line to jump to the matching frame in the video. - The platform adds AI scene descriptions during pauses in speech or in non-verbal segments. - DBGallery says the framework supports multi-user collaboration, Single Sign-On, granular permissions, complete audit logs, and cloud or on-premises deployment.

Between the lines: - The product push reflects a shift from asset storage to asset intelligence. - Automated metadata can compound over time, making older files easier to find and reuse as more content enters the system. - DBGallery is also signaling that DAM tools can serve smaller organizations, not just large enterprises with dedicated content operations teams. - Glenn Rogers, DBGallery’s director of product and project management, said visual media becomes “instantly discoverable” through structured context, transcripts and custom prompts.

What's next: - DBGallery is directing readers to its official release and AI Metadata Value Chain infographic. - The company is also pointing users to its visual intelligence features for more details. - DBGallery says its broader platform continues to combine AI metadata automation with SaaS or on-premises deployment options.

The bottom line: - DBGallery is trying to make DAM easier to adopt by replacing manual keywording with AI-generated metadata that can be searched, reused and integrated into other business systems.