Share
People Tagging Helps Your Team Identify Faces utomatically
People tagging uses AI facial recognition to identify and tag people in images and videos, making it easy to find people in your organization.

Automated facial recognition for images and video is built directly into your DAM.
Whether you’re managing thousands of photos, alumni event footage, or highlight reels featuring important people in a company, employees, and influencers, manually tagging people is slow and often inconsistent. People tagging automates that process so every face is identified accurately and quickly.
What is people tagging?
People tagging is part of PhotoShelter’s AI suite. It automatically tags and organizes images and videos based on who appears in them. The system matches faces in your asset library with reference headshots and metadata you define (full name, title, or department) so files are always organized and searchable.
How it works:
- Upload a reference headshot and related metadata, such as a name or title.
- People tagging automatically applies that information to any new uploads that include that person’s face.
- Your media library becomes searchable by person instantly.
There’s no guessing, no duplicate naming conventions, and no risk of losing track of key individuals in large libraries.
Since launching in 2022, people tagging has applied more than 10 million tags to nearly 289,000 individuals across 5.5 million images. PhotoShelter AI has also helped teams tag over 1 million athletes, 750,000 objects, 7 million labels, and 300,000 logos across sports, higher education, government, and media organizations.
Now available for video
People tagging now works on video as well. It identifies and tags anyone whose face appears in a clip based on the same reference headshots used for images. There’s no need to rewatch footage or cross-check lists. Once the video is uploaded, the system handles all tagging.
Why teams use people tagging
People tagging is built for creative teams, content managers, archivists, and marketers who need accuracy at scale.
It’s ideal for:
- University communications teams tagging faculty, alumni, or speakers
- Sports organizations managing player footage across seasons
- Brands tracking influencers, spokespeople, or executives in campaign content
People tagging handles the repetitive work so teams can focus on publishing, promoting, and sharing their stories.
Built for your workflow
People tagging is fully integrated with your DAM. No extra tools or third-party services are required. You control who gets tagged, when tagging starts, and how metadata is applied. Assets remain secure, and data is never used to train external models.
Use people tagging with PhotoShelter AI
When combined with other PhotoShelter AI tools—like object tagging, logo recognition, or AI Visual Search—you can turn raw assets into organized, searchable content libraries the moment they’re uploaded.


