DOCUMENT DATA · VALIDATION GUIDE

Driver’s license validation API

Design driver’s license checks around the issuing context and the evidence you actually have. Keep parsing, source comparison, and holder verification distinct.

A clearer look at license data.

structurepass
issuer_recordnot_checked
holder_identitynot_checked

ILLUSTRATIVE SIGNALS · NOT A LIVE RESULT

WHAT TO MAKE EXPLICIT

Design around the evidence.

A result becomes useful when its method, limits, and next action are visible together.

01 / SIGNAL DESIGN

Document context

Country, region, and document type. Make the method and any unresolved context visible to the consumer.

02 / SIGNAL DESIGN

Field consistency

Dates and captured-field comparisons. Make the method and any unresolved context visible to the consumer.

03 / SIGNAL DESIGN

Source comparison

A separate, authorized capability. Make the method and any unresolved context visible to the consumer.

What this does not establish

A correctly formatted license number does not establish document authenticity, current driving entitlement, or the identity of its holder.

Reference: AAMVA’s DLDV service overview. Reference links explain the underlying distinction; they do not imply a partnership or an enabled source connection.

A CONTRACT YOU CAN DISCUSS

Read the example.
Review the assumptions.

Switch between the fictional request and response. The example records structure separately and leaves real-world verification unperformed.

Proposed route: POST /v1/validate/drivers-license. This is a design example, not an available network endpoint.

license.response.json
{
  "demo": true,
  "request_id": "sample_license_001",
  "status": "needs_review",
  "checks": {
    "structure": "pass",
    "issuer_record": "not_checked",
    "holder_identity": "not_checked"
  },
  "reasons": [
    {
      "code": "example_only",
      "message": "Fictional fixture; no real-world validation performed."
    }
  ],
  "next_action": "review_requirements"
}
LOCAL EXAMPLE · NO NETWORK REQUESTJSON / UTF-8

Driver’s license: fictional response example. These predefined signals illustrate a proposed contract, not a check of real data. View service scope.

PLAN THE NEXT STEP

Keep the workflow human.

Ask for correction.

Point to the missing context or affected field. Preserve the person’s intended value until a meaningful change is reviewed.

Make review explicit.

Separate incomplete evidence from negative findings. Assign ownership and provide a real path for resolving uncertainty.

Prepare for unavailability.

A dependency problem needs an operational route. Do not ask users to keep editing information that was never checked.

Explore another data family.

YOUR NEXT INTEGRATION

Make your next check
more meaningful.

Start with the right question. Build toward a clearer answer.