Put Names to Faces: Introducing AI Face Recognition V2

written by

  • Globaledit

published

Ask any asset manager, digi tech, or creative ops team where their time goes, and the answer will likely include one massive task: manually tagging images and organizing photoshoots by talent. For many teams, that’s hundreds of hours each month, and the more shoots there are (and the more models per shoot), the more room there is for human error. We built our AI Face Recognition feature to eliminate that burden, and it’s already widely used by industry leaders in entertainment and retail alike to automate tagging and organizing assets. Today, we’re unveiling a major upgrade.

Introducing AI Face Recognition V2

Upload an image or video of a celebrity and Globaledit’s AI will automatically identify and tag it accurately. Tag an unknown face once, and Globaledit will recognize that face correctly across your entire library, forever. Now, our AI Face Tagging feature is more comprehensive and granular than ever: you can rescan previously uploaded content, tag faces and review confidence scores in bulk, and manually frame and identify any face that slips through.

For Media & Entertainment Studios

Managing talent content across the full edit, review, and approval cycle has always been unpredictable; tight deadlines, strict requirements, and last-minute changes leave little room for error. Creative teams and promotional teams at top studios leverage Globaledit to move faster while maintaining complete control. With AI Face Recognition, teams can:

  • Build approval galleries in seconds
  • Verify which talent appeared on which shoot day
  • Assemble pre-approved press kits
  • Create shareable Smart Collections of specific actors that auto-update by shoot, episode, show, photo call—you name it.

For studios managing millions of photos and videos across TV and film productions, the impact is significant: up to a 90% reduction in talent approval timelines, and practically zero manual error.

For Creative Ops & Marketing Teams

With AI Face Recognition V2, your team can filter your entire library by talent and surface every asset featuring a specific person in seconds. If an image or video of Emma from your SS26 campaign overperforms on social, search for her by face and access every asset you’ve ever produced with her without cross-referencing spreadsheets or shot lists. If a model’s contract or usage rights expire, instantly find, flag, and archive every relevant asset. Your marketing team can easily A/B test creative, optimize campaigns more intelligently, and act on what’s working, faster than ever.

For E-commerce Teams

Brands that work with the same models across multiple shoots and seasons know that their asset libraries can become unmanageable, fast. AI Face Recognition V2 lets you look up every photo and video by model name without disturbing the folders and collections they live in, so populating product pages, assembling lookbooks, and updating hero content from existing assets is effortless.

What We’ve Seen Already

Digital techs, asset managers, and post-producers are already getting hours back each week with AI face tagging. It shaves time off of workflows that used to be entirely manual and turns library organization from a recurring burden into a resource that takes care of itself, all with a higher degree of confidence and far less risk of human error.

If you want to see it in action, get in touch with our team for a demo.