Photo-to-Loadout Cataloger
Upload a range-bag dump photo, auto-identify each visible item, link matching products to the catalog, and flag missing range-readiness gear that should be in the bag.
Checking sign-in status…
No catalog pass yet
Results will appear here with catalog matches, visible gaps, and unmatched product candidates.
Photo Loadout Cataloger FAQ
What does the photo-to-loadout cataloger identify?
The cataloger identifies visible range-bag and loadout items such as firearms, optics, magazines, ammunition, plate carriers, armor plates, medical gear, hearing protection, eye protection, bags, tools, knives, and range accessories. It links strong matches to the Rifle Configurator catalog and keeps uncertain items marked as unmatched instead of forcing a bad match.
Does the tool know the exact model from any photo?
No. Exact brand and model recognition depends on visible text, logos, packaging, and distinctive product geometry. When the photo only supports a generic read, the result stays generic and explains the uncertainty.
What gaps does the loadout cataloger flag?
The tool flags visible readiness gaps such as plates or a carrier without trauma pads or medical support visible, firearms without ear or eye protection visible, electronics without batteries or tools visible, and products that do not have a strong catalog match.
Is the photo saved automatically?
No. The photo is sent to the AI analysis endpoint only when you run the catalog pass. Account saving is optional and creates a media asset plus a tool run that can be attached to a build, range day, or drill.
Which AI model powers the loadout cataloger?
The analyzer defaults to Gemini 3.5 Flash for photo detection and Gemini 3.1 Flash Lite for catalog match decisions through the Google provider in the Vercel AI SDK. The models can be overridden with GEMINI_LOADOUT_CATALOGER_MODEL and GEMINI_LOADOUT_CATALOGER_MATCH_MODEL.