Automated AI metadata eliminates manual keywording, transforming raw photos and videos into searchable organizational knowledge.
TORONTO, ON, CANADA, September 15, 2026 /EINPresswire.com/ — DBGallery today announced the rollout of its AI Knowledge Layer for Visual Assets, a breakthrough capability designed to make enterprise-grade Digital Asset Management (DAM) accessible to organizations of all sizes. By automatically generating structured AI metadata upon upload, DBGallery transforms raw photo and video libraries into searchable, high-value organizational knowledge without requiring manual tagging.
Historically, resource-constrained teams across municipalities, higher education, non-profits, marketing agencies, and mid-market enterprises were locked out of enterprise DAM by the immense labor needed to manually tag thousands of files. DBGallery’s AI Knowledge Layer changes this dynamic by replacing manual keywording with automated AI metadata, use custom AI prompts to generate metadata, extract OCR text, and interactive video transcripts.
“For years, visual assets lost value over time because nobody had the bandwidth to tag them properly,” said Glenn Rogers, Director of Product and Project Management at DBGallery. “When you introduce an automated metadata knowledge layer, that changes completely. Visual media becomes instantly discoverable through structured context, interactive video transcripts, and custom AI prompts. The metadata doesn’t just solve today’s search—it creates compounding, multi-year value and brings DAM within reach of more organizations.”
Key Features of the AI Knowledge Layer include:
– Automated Metadata-Enrichment: Instantly extracts OCR text from images and PDFs, identifies objects and faces, and summarizes video content.
– Custom AI Description Prompts: Allows teams to create custom global or image-specific prompts to extract structured metadata based on the types of images and descriptions appropriate to your team. This power includes options such as outputting results as HTML or JSON for direct ingestion into web apps or ERP systems.
– Interactive Video Transcription & Timelines: Generates time-stamped, sentence-by-sentence spoken transcripts aligned with video playback, allowing users to click any transcript line to jump instantly to that exact frame.
– Non-Spoken Scene Analysis: Automatically inserts AI visual scene descriptions into pauses in speech or non-verbal video segments.
– Built into DBGallery’s scalable architecture, the AI framework supports multi-user collaboration with Single Sign-On (SSO), granular permissions, complete audit logs, and cloud or on-premises deployment options.
To read the full official release and view the AI Metadata Value Chain infographic, visit https://dbgallery.com/news/ai-knowledge-layer-press-release. To explore DBGallery’s visual intelligence features, visit https://dbgallery.com/ai.
About DBGallery
DBGallery is a leading Digital Asset Management (DAM) platform trusted by over 100+ brands across more than 25 countries. By combining scalable SaaS or on-premises architecture with AI metadata automation, DBGallery empowers teams of any size to organize, discover, and turn visual media into structured business data. Learn more at https://dbgallery.com.
Glenn Rogers
DBGallery
grogers@dbgallery.com
Legal Disclaimer:
EIN Presswire provides this news content “as is” without warranty of any kind. We do not accept any responsibility or liability
for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this
article. If you have any complaints or copyright issues related to this article, kindly contact the author above.
Media gallery
