How it reads a bib
When you upload a batch of photos, each image is analysed for visible text — the same underlying text-detection technology used across a huge range of everyday scanning and recognition tools. It doesn't just look for numbers in isolation; it detects every piece of readable text in the frame, then PINNED works out which fragments are likely bib numbers.
This happens automatically in the background as photos come in — you're not waiting on a manual process, and it scales the same way whether you're uploading 50 photos or 5,000.
You review, not retype
AI suggestions aren't published blind. You confirm them in your event studio before anything goes live — a fast review pass rather than typing every bib number in by hand. Most organisers get through even a large upload in minutes, not hours.
If a bib is partially obscured, blurry, or at an awkward angle, the AI might miss it or get it wrong — that's exactly what the review step is for. You can manually correct or add a bib number to any photo at any time, even after it's published.
Why this matters for sales
Every correctly tagged photo becomes instantly findable — a participant types their bib number and sees every photo of them, without scrolling through hundreds of unrelated shots. That speed is what turns a browsing visitor into a buyer.
It also means you don't have to choose between uploading everything and tagging thoroughly — the AI does the first pass at scale, so full coverage of a large event stays realistic.
It takes minutes to apply.