Vehicle Test-Drive License Scanning with PDF417

The Data-Entry Problem in automotive dealerships

Sales staff often photocopy or manually enter a visitor's license before a test drive, slowing the customer experience. Teams also need to distinguish a readable barcode from a verified person or authentic credential; combining those concepts creates compliance and product risk.

Deterministic Barcode Parsing with Human Confirmation

Decode the back barcode into a temporary test-drive form, let staff confirm the fields, and apply the dealership's retention policy after the visit. StructOCR's driver license PDF417 API decodes the barcode and parses the AAMVA record without asking a generative model to reconstruct unreadable values. Minimize retention and access to license data; decoding is not a fraud or authenticity assessment.

Workflow Applications

Server-Side PDF417 Integration

Send the complete license-back image from a protected backend. This example selects fields relevant to automotive dealerships and handles HTTP 422 as a retake or review state.

import base64
import os
import requests

with open("license-back.jpg", "rb") as image_file:
    image = base64.b64encode(image_file.read()).decode("ascii")

response = requests.post(
    "https://api.structocr.com/v1/driver-license-pdf417",
    headers={"x-api-key": os.environ["STRUCTOCR_API_KEY"]},
    json={"img": image},
    timeout=30,
)

if response.status_code == 422:
    print("Retake or review:", response.json().get("error"))
else:
    response.raise_for_status()
    data = response.json()["data"]
    print("document_number:", data.get("document_number"))
    print("given_names:", data.get("given_names"))
    print("surname:", data.get("surname"))

{
  "success": true,
  "data": {
    "type": "drivers_license",
    "source": "pdf417",
    "country_code": "USA",
    "region": "CA",
    "document_number": "SAMPLE1234",
    "surname": "SAMPLE",
    "given_names": "ALEX MORGAN",
    "first_name": "ALEX",
    "middle_name": "MORGAN",
    "sex": "X",
    "date_of_birth": "1990-01-15",
    "date_of_issue": "2025-01-15",
    "date_of_expiry": "2030-01-15",
    "address": "100 EXAMPLE AVE",
    "city": "SAMPLE CITY",
    "postal_code": "00000",
    "vehicle_class": "C",
    "restrictions": null,
    "endorsements": null,
    "document_discriminator": "SAMPLE-DISCRIMINATOR",
    "issuer_identification_number": null,
    "aamva_version": 10,
    "jurisdiction_version": 0
  }
}