Faces

How Face Detection Works

Orbyte automatically scans your photos as they arrive in your library and spots faces. The AI doesn’t just find faces - it recognizes the same person across different photos. A smiling face from today’s photo and that same person in a photo from three years ago? Orbyte groups them together in what we call a cluster.

This happens in the background, so you don’t have to do anything. Just upload photos and let Orbyte do the detective work.

Naming Faces and Creating Aliases

Once Orbyte has grouped similar faces together, you can tap a cluster and give that person a name. “Sarah”, “Mom”, “best friend Jamie” - whatever feels natural. If someone goes by multiple names (maybe your sister is “Emma” but the family also calls her “Em”), you can add aliases. Then a search for any of those names will pull up the same person.

You can also skip naming entirely if you prefer - browse clusters by photos alone. But naming unlocks the real magic: you can search by “Show me every photo with James” and instantly see every moment that person appears in your entire library.

Browsing by Face

The Faces view is your shortcut to rediscovering memories. See a list of all the people in your library (named or unnamed), ranked by how often they appear. Tap someone’s cluster to see their timeline - every moment they appear in your photos, sorted by date. It’s a beautiful way to see how someone has been part of your story.

Want to see photos of two people together? You can filter by multiple faces to find moments when both appear in the same shot.

Faces in Personal and Group Libraries

If you’re part of a Group in Orbyte, face detection works across all shared media. Everyone’s library in that Group contributes to the same face clusters. So the family photo album can have one cluster for “Grandpa” that includes photos from Mom’s, Dad’s, and Sibling’s collections all in one place.

Privacy and Your Face Data

Face data lives in your account and stays there. Orbyte doesn’t send it anywhere - not to external services, not to third parties, not to the cloud. Face clustering happens locally, and your face data is part of your private library. If you’re in a Group and a shared Capsule includes someone’s face, that grouping is visible to your Group members - but the underlying face detection data stays private to each person’s account.

Tips for Better Face Recognition

Upload a few clear, well-lit photos of someone to give the AI more to work with. A straight-on shot where the face is clear and visible is ideal - the more variety in angles and lighting, the stronger the clustering.

If Orbyte makes a mistake and groups two different people together, you can split them apart. If it misses someone, you can manually add photos to the right cluster.