Glossary

Photo Verification API

A photo verification API is a service that accepts an image plus a policy and returns a structured verdict — typically pass/fail with the reasons and a category — confirming that the photo shows a real-world condition or that it meets a defined rule.

Unlike a generic image-recognition API that just labels what is in a picture ("car", "package", "sidewalk"), a photo verification API answers a decision: does this photo satisfy the rule you care about? You send the image and reference a saved policy, and the response comes back as a structured result you can act on programmatically — a category, a per-criterion pass/fail breakdown, and the reasons behind the verdict.

The category matters: this is condition and compliance verification, not identity verification. Identity tools confirm a person is who they claim to be or detect a manipulated face. A photo verification API for condition instead confirms things like "the scooter is parked correctly," "the vehicle has no new damage," or "the package was placed at the door." Both are called "verification," but they solve different problems.

Because the decision is encoded as policy-as-code, the same API powers many workflows: end-of-ride parking compliance, vehicle damage grading, and proof of delivery all run through one endpoint with different policies. VerifyAI runs the model on-device with sub-200ms latency where supported, so checks complete even offline, and pricing is per verification (from about $0.008/image) rather than per seat.

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