Fieldframe automatically detects jersey numbers in sports photos and organizes them into a searchable public gallery — by jersey number, and by player name once a roster is linked. Upload from the web or publish directly from Lightroom Classic.
A startup from Latvia that is founded by Davis Lejasmeiers.
This page is designed to help you find out whether Fieldframe is good and if it is the right choice for you.
Fieldframe automatically detects jersey numbers in sports photos and organizes them into a public gallery, searchable by number or player name. Upload from the web, or publish directly from Lightroom Classic using the Fieldframe plugin, with existing keywords and metadata preserved automatically.
Team rosters can be uploaded by CSV or Excel so detected numbers get matched to real player names. Multiple events can live under one persistent club page, and every downloaded photo gets IPTC metadata embedded automatically (player name, number, byline) so credit stays attached wherever the file ends up.
Free tier available. Paid plans start at €9/month.
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Jersey Number Detection
Automatically detects and tags jersey numbers in uploaded photos
Lightroom Integration
Publish directly from Lightroom Classic via the Fieldframe plugin
Roster Matching
Upload a CSV/Excel roster to match detected numbers to player names
IPTC Metadata Embedding
Player name, number, and byline embedded automatically in every downloaded photo
BK Ventspils (basketball club, Ventspils, Latvia)
Fieldframe combines automatic jersey number detection with a one-click Lightroom Classic publishing plugin, something not offered as an equivalent workflow by other sports photography platforms reviewed. Photos tagged with keywords in Lightroom skip the review queue entirely and arrive already confirmed. Every downloaded photo also gets AP/Getty-style caption metadata (player name, number, byline) embedded automatically.
Fieldframe's Starter plan (€9/month) costs less than half of comparable competitors' entry-level pricing for a similar feature set. It also has a notably simpler configuration surface: no confidence-threshold sliders, role-based access tiers, or nested sub-collections to manage. Club-level galleries let a photographer or club aggregate every event under one persistent, searchable link rather than sending a new one for every game.
Independent sports photographers who shoot team sports where athletes wear numbers (basketball, football, water polo, and similar), and sports clubs or leagues that want a single ongoing photo gallery across a season rather than one-off links per event.
Fieldframe was built by Davis Lejasmeiers, a working sports photographer who shoots games for BK Ventspils, a basketball club in Latvia. He built the tool to solve his own problem: sorting hundreds of game photos by jersey number and getting them to the right people quickly. It's tested every season on his own real game photos before anyone else uses it.
A Python/FastAPI backend, a React frontend, PostgreSQL for data storage, and computer vision for automatic number detection, with cloud object storage for photo hosting.
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