PhotoShelter Unveils AI Visual Search Capability Eliminating Need for Metadata

Digital asset management platform PhotoShelter has unveiled a new feature called AI Visual Search, giving brand subscribers the ability to search their entire brand library based on visual descriptions and eliminating the need to manually add metadata to images, according to a news release.

Manually searching DAM platforms for the right visual asset can take hours, particularly for larger organizations whose brand library may contain hundreds of thousands of visual assets. PhotoShelter said 40% of the content on its servers had no metadata.

“Even the most advanced content organizations struggle to set up and maintain a comprehensive metadata strategy,” PhotoShelter said. “It would take an estimated 200 days to manually tag every image uploaded to PhotoShelter each month, and metadata-less search eliminates this incredible time-consuming challenge.”

AI Visual Search uses language and image recognition to “intelligently match” search terms to visual qualities, according to the announcement. 

“What was once a manual, difficult and time-consuming task is now a prime use case for leveraging AI to maximize efficiencies and bring better content to market,” said CEO Andrew Fingerman. “And the results are breathtaking – it’s like every conceivable keyword and caption has been applied automatically to our customers’ images.”

PhotoShelter noted that it recently launched a formal Ethics Board to routinely consider the ethics of its AI usage, improve training models, and remove any unconscious bias. “The company will also be aligning closely with the Content Authenticity Initiative to track source images and determine if AI has been used in their creation to monitor and get ahead of disinformation and authorship issues,” PhotoShelter said.

AI Visual Search joins several other AI-based PhotoShelter solutions addressing the challenges of tagging visual assets with metadata: 

ObjectID automatically creates metadata tags for images based on the objects in them, for example “football” or “X-ray.” BrandID, PeopleID, and RosterID tag people, player rosters, and brands such as a NFL team, a high school baseball player, or a coach or other face familiar among the subscriber’s asset library.

Learn more at Brands.PhotoShelter.com.


About the Author

Kristal Kuykendall is editor, 1105 Media Education Group. She can be reached at [email protected].


Featured

  • Hand holding a glowing AI sphere

    Beyond the Hype: 5 Actionable Steps for Higher Ed to Master AI in 2026

    AI has arrived as a powerful, pervasive reality, bringing with it a whirlwind of innovation, new tools, and pressing questions. Here are five practical steps to help your institution navigate this rapidly evolving landscape and accelerate its path to real transformation.

  • abstract automation workflow

    Druva Adds Agentic Workflows, Deep Analysis Agents to DruAI Platform

    Druva has announced an expansion of its DruAI platform, introducing Deep Analysis Agents and new agentic workflow capabilities aimed at automating complex forensic, compliance, and operational investigations.

  • glowing brain above stacked coins

    The Higher Ed Playbook for AI Affordability

    Fulfilling the promise of AI in higher education does not require massive budgets or radical reinvention. By leveraging existing infrastructure, embracing edge and localized AI, collaborating across institutions, and embedding AI thoughtfully across the enterprise, universities can move from experimentation to impact.

  • large cloud icon on the right in an abstract world above a polygon with a dark blue background

    Cloud Security Alliance Expands Focus on Governance and Assurance for Agentic AI Systems

    The Cloud Security Alliance (CSA) recently announced a series of CSAI Foundation milestones aimed at securing what it calls the agentic control plane, including a new catastrophic risk initiative, CVE Numbering Authority authorization, and the acquisition of two agentic AI specifications.