Photo Identification for Sports
Face recognition and jersey OCR match names to your photos. Names embed in the file. Deliver however the client wants.
See the pricing →What it is
Upload a gallery. MatchID matches your roster to the photos using face recognition and jersey OCR. Names attach inside the platform for search and review, then embed in XMP metadata when you download. Deliver via share link, ZIP, FTP, or API export. Sports photographers and athletic departments use it for the same reason: tagging by hand isn't paid work.
Face recognition and jersey OCR run together. Each backs the other up when faces are partially blocked by hats or helmets.
Tags embed in XMP metadata on download. Lightroom, Photo Mechanic, Capture One, SmugMug, and Flickr all pick them up. The names travel with the photo, not locked inside a platform.
Share link. ZIP download. Manual or automatic FTP. API exports into your existing workflow.
Sell downloads and keep 100% of the revenue. Other platforms take 8 to 15% on each transaction.
Add the team once. Reuse it season after season. Keep overlapping rosters from misidentifying players across sports.
Add the name to your roster once. The right spelling lands on each photo of that player automatically.
No more IMG_#### archives. Filenames carry the player name, date, sport, and photographer credit when you want them.
Rosters and photos stay scoped to your account. We don't share them, sell them, or use them to train models.
No per-seat charge. Bring on a second camera for one game or add the comms team for the season. Pricing stays put.
Process 100 photos or 100,000. All features included at any storage tier. The bill only changes when you store more.
How it works
Upload your photos. MatchID matches the names. Your archive stays searchable, whether the game was last week or five years ago.
Select or create a gallery and drag in your photos. Hundreds or thousands at once.
GalleryID does this
MatchID reads jersey numbers. Compares faces to your roster. Names attach to photos automatically.
Share named galleries with teams, or download with names embedded in the file. Export via FTP. The names travel with the photo.
Our story
Flagship cameras get built for sports. Canon's R1. Sony's A1. Nikon's Z9. The sideline drives the engineering. Fastest autofocus. Biggest buffer. Hardest deadlines. Then wedding photographers buy them. Wildlife photographers buy them. Anyone who needs the best.
GalleryID was built by sports photographers tired of the late-night hours tagging hundreds of players across thousands of photos while clients waited for the gallery. Speed, pressure, and volume drove the engineering.
Use MatchID inside a fast cloud archive, or push photos through to your existing tools. Either way, the work that used to be unpaid labor is now automated.
Built to support sports photographers. Designed to serve everyone.
Where it works
What we don't charge for
Watch the difference
The meter is the only difference.
Pricing
One number changes. Nothing else does.
14-day free trial • Cancel anytime
Stop tagging at midnight. Deliver before you leave the parking lot.
Common Questions
GalleryID identifies the players in your sports photos and stores them in a searchable archive. MatchID matches your roster to the photos using face recognition and jersey OCR. Names attach inside the platform for search and review, then embed in XMP metadata when you download.
Other platforms make you buy credits to identify photos. 1 to 3 cents each. We don't run that meter. MatchID is included no matter what storage you pick. You pay for storage. That's it.
Yes. Face recognition reads the visible faces. Jersey OCR reads the helmets. Football, lacrosse, hockey, baseball — same workflow.
Yes. There's no per-seat pricing. Hire a second camera for one game and your plan stays the same.
Names attach inside the platform immediately so you can search and review by player. On download, MatchID embeds them as XMP metadata. Photo Mechanic, Lightroom, and Capture One pick them up on import. The names travel with the photo, not locked inside a platform.