
Pixieset
SmugMug
Pic Time
Adobe Bridge
Adobe Photoshop Lightroom Classic
Google Photos
Flickr
Professional sales tools and stunning client galleries for photographers

Smart Albums AI by Waldo Photos
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.

Which is more popular?
Based on our record, ShootProof seems to be more popular. It has been mentioned 1 time since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | shootproof.com | fieldframe.app |
| Pricing | ||
| Platforms | — | |
| Company | — | Startup from Latvia · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of ShootProof yet.
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....
What each product offers, as listed by its team.


Possible disadvantages
Walkthroughs and reviews on video.
How & Why I Use ShootProof. Photo Delivery + A Lot More!
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing ShootProof and Fieldframe.
Fieldframe's answer:
BK Ventspils (basketball club, Ventspils, Latvia)
Fieldframe's answer:
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 answer:
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.
Fieldframe's answer:
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's answer:
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.
Fieldframe's answer:
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.
Share your experience with using ShootProof and Fieldframe. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


If nothing bad turns up, then just make sure you have a way of securing payment BEFORE you hand over the photos. There are a variety of websites that do this. Photoinvoice.com and shootproof.com are two I have used. Although if you... Source: over 3 years ago
Tracking Fieldframe since Sep 2026.
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