The gallery recognises faces and shows every guest only their own photos – no app, no scrolling through hundreds of pictures.
No scrolling through hundreds of pictures: the gallery recognises faces and shows every guest only their own photos.
Opt-in for guests · stored as numbers (vectors), not face images · never shared with third parties
This is the real demo wedding: 218 photos, three recognised people. One tap and only the photos of that person are left.
After the party, everyone hunts for themselves
One-time payment — No subscription
Starting from 119 € / one-time
AI Face Recognition is available from the Deluxe plan up.
Unlock once, no subscription – then every guest finds their own photos.
Face recognition involves biometric data, which requires the highest level of data protection. Here is exactly what Photogala stores, how long, and what controls exist:
For matching, Photogala uses face vectors — 512-dimensional series of numbers such as [0.023, -0.147, 0.089, ...] that describe facial geometry mathematically. They are used only to compare faces for similarity. So that admins and guests can pick a person, each recognized person also gets a preview image — a crop from a photo that is already in the gallery.
Face search is voluntary for guests: they have to actively take a selfie to search for themselves. The selfie is stored in their event profile so the search works again later. Guests can delete it at any time; a new selfie replaces the old one.
Guests delete their selfie themselves. As an admin, you remove individual detected faces from a photo or hide people from the selection. Anyone who wants their face data deleted can contact you or Photogala support.
Face data — vectors, groupings, names and preview images — belongs to the gallery and is deleted with it. You can remove individual detected faces from a photo at any time.
Face data is biometric data within the meaning of Art. 9 GDPR. Photogala processes it on its own servers in the EU and does not pass it on. As the organiser, it is best to tell your guests in advance — for example in the invitation — that the gallery has a face search.
Face data is not passed on to advertisers, social networks or data brokers. The AI model runs on Photogala's own infrastructure, not through external services such as AWS Rekognition or Google Vision.
AI face recognition allows event guests to find every photo they appear in across the entire event gallery — by simply taking a selfie. When a guest opens the face search feature, their phone camera captures a selfie, and the AI analyzes the facial features to generate a mathematical representation (a face embedding vector). This vector is compared against all detected faces in the event gallery, and within seconds, the guest sees a personal gallery containing every photo where they appear — whether they're in the foreground, the background, or part of a group shot.
For events with hundreds or thousands of photos — large weddings, corporate conferences, multi-day festivals — manually scrolling through the gallery to find your own photos is impractical. Face recognition solves this problem completely. A guest at a 200-person wedding with 2,000 photos in the gallery can find all 47 photos they appear in within 3 seconds. Without face recognition, that same guest would need to manually review every photo, which could take 30-60 minutes.
Photogala's face recognition system processes all uploaded photos automatically in the background. When a new photo is uploaded, the AI detects every face in the image, generates embedding vectors, and clusters them with matching faces. This means the face search is instant for guests — the heavy processing happens server-side during upload, not when the guest takes their selfie. The system also provides admin tools for managing face clusters: merging duplicates, labeling people by name, hiding clusters, and making manual corrections.
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