Upload once. Every guest finds themselves.
Face recognition photo delivery built for the way events actually happen. The photographer uploads the gallery, every guest takes one selfie, and each one walks away with their own private set of frames. The matching runs on AI tuned for crowded rooms, mixed lighting, and matching wedding suits — and selfies delete the moment they've done their job.
AI matching · Selfies deleted after matching · GDPR audit trail
One upload. One selfie per guest. Every guest covered.
- 01
Photographer uploads the event
Drag the full gallery in — wedding day, race course, conference, prom. Faces are detected and embedded as the photos process. There's no per-photo tagging, no manual albums, no end-of-week reconciliation.
- 02
Guests take one selfie
From the shared gallery link, each guest takes a single selfie in the browser. The match runs in seconds, returning every frame they appear in across the whole event. Older relatives manage it on the first try.
- 03
Selfies delete, photos stay private
Once matching finishes, the selfie is deleted. Each guest's matched gallery stays private — only they can open it, only they can re-share their own photos. No one ever browses other people's frames.
AI matching that works in the rooms events actually happen in.
Tuned for the conditions matching usually fails in.
Dim wedding receptions, crowded marathon finish chutes, conference stage lighting, school prom dancefloors. The model is trained on event-photography data, not stock portrait sets — so it finds guests in the conditions they were actually photographed in.
GDPR-safe by default.
Selfies are deleted the moment matching completes. Embeddings can be deleted on request. Every guest can pull their face from a gallery with one tap. Audit trail is automatic — when a parent, client, or DPO asks, you have it.
No app. No account. No friction.
Guests use the camera that's already in their phone, in the browser. Nothing to install, nothing to sign up for. The match runs and the gallery loads — that's the whole interaction.
Studio brand, not platform brand.
The gallery, the delivery email, the URL — everything carries the studio's identity. White-label available on Studio and Venue plans. The guest never sees a generic platform name.
“I'd tried two other face recognition platforms before. Both worked on Lightroom-portrait test data and broke on a real wedding reception. This one matches the groomsmen out of three identical suits in low light. That's the only test that matters.”
- Average match rate per guest
- 0%
- Selfie retention after match
- 0
- Apps to install
- 0
AI matching for events, answered.
Where face recognition delivery shows up.
- Wedding photo delivery
How matching handles dim receptions, matching suits, and wedding-night lighting — and what couples ask about first.
Read on - Bib number photo search
Selfie matching paired with bib OCR for races. Two paths to the same gallery; matching covers what bibs miss.
Read on - School prom delivery
How matching is set up to be GDPR-safe for minors — selfie deletion, opt-out per family, audit trail.
Read on - Wedding guest photo app
End-to-end view of how matching is presented to wedding guests in the browser, no app to install.
Read on
Face recognition photo delivery on DeliverShot.
Stop fighting Lightroom-portrait demos that break on real events. Deliver your next event with face recognition tuned for crowded rooms, mixed lighting, and the GDPR audit your client will eventually ask for.
Questions first? Email hello@delivershot.com.