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Photos → Job Documentation
Upload before/after job photos and get professional documentation — what's visible, work quality notes, and a customer-ready summary.
How it works
Upload up to 6 job photos — before/after works best.
The AI documents each photo: equipment, condition, work visible.
Get quality notes, a before/after comparison, and a customer-ready summary.
You just trialed the ai_photo_qa widget
One run here. Every job, inside Fieldproxy.
Here, you uploaded photos to a web page. Inside Fieldproxy, photos taken during the job document themselves.
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Techs shoot before/after inside the job form — photos attach to the job record automatically, no camera roll chaos.
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ai_photo_qa documents each shot and flags workmanship issues while the tech is still on site to fix them.
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ai_extract reads serial numbers and model plates straight into your asset records.
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The customer gets a clean before/after summary in their portal — nobody had to write it.
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Six months later when the warranty call comes, the documented history is sitting on the job record.
Frequently asked questions
What photos work best?
Clear, well-lit shots of the work area — before and after. Close-ups of specific components (connections, seals, damage) get more specific documentation.
Does it really look at the photos?
Yes — a vision model reads each image. It's instructed to describe only what's actually visible and to say when a photo is too unclear, rather than guess.
Is this the same AI as in Fieldproxy?
Same capability. Inside Fieldproxy, photos attach to the job record and the documentation files itself — plus ai_extract can pull serial numbers and model plates into your asset records.