Visitor Management with Driver License PDF417 Data

Decode only the fields needed for the visit, show the result for confirmation, and apply a short, documented retention schedule. The workflow captures structured data for confirmation without treating a barcode decode as proof of identity or authenticity.

200 free credits = 100 Driver License scans, no credit card. Then from $5 for 500 credits, pay as you go. See pricing

Visitor Management with Driver License PDF417 Data workflow using a fictional US driver license back and structured AAMVA JSON

The Data-Entry Problem in visitor registration

Reception teams need fast, consistent visitor data without keeping unmanaged photocopies or retyping every field. 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 only the fields needed for the visit, show the result for confirmation, and apply a short, documented retention schedule. StructOCR's driver license PDF417 API decodes the barcode and parses the AAMVA record without asking a generative model to reconstruct unreadable values. The API does not make access-control decisions or validate the person's entitlement to enter.

Live Demo: US Driver License PDF417 Scanner

No registration required. Upload a file to test the extraction.

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JPG · PNG · WebP  ·  up to 500 files · max 4.5 MB each

Photograph the barcode on the back, not the whole card. Let it fill the frame and tap on it to focus.

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Need more testing? Create a free account to get 200 free credits (equals 100 Driver License scans).

Workflow Applications

Office reception

Pre-fill given_names, surname, document_number and require confirmation before committing the record.

Contractor check-in

Return explicit retake instructions when the barcode is cropped, blurred, or affected by glare.

Facility access intake

Keep the data-capture result separate from approval, eligibility, fraud, and compliance decisions.

Technical Specs

  • Endpoint: POST https://api.structocr.com/v1/driver-license-pdf417
  • Inputs: JPG, PNG, or WebP; Base64 JSON or multipart upload; maximum 4.5 MB
  • Output: Normalized AAMVA identity, address, credential, class, restriction, and endorsement fields when encoded
  • Errors: Explicit PDF417_NOT_DECODED and AAMVA_NOT_VALID responses support retake and review flows
  • Cost: 2 credits for a successful decode; processing failures are refunded
  • Decision boundary: The API extracts data and does not make identity, authenticity, eligibility, or legal-compliance decisions

Key Features

  • Server-side credentials: Keep the StructOCR API key out of browsers, kiosks, and mobile application bundles.
  • Data minimization: Persist only the fields the documented workflow actually requires.
  • User confirmation: Present extracted fields for correction before they enter a system of record.
  • Recoverable capture: Ask for a clearer image instead of guessing from a failed barcode.
  • Independent decisioning: The API does not make access-control decisions or validate the person's entitlement to enter.

Server-Side PDF417 Integration

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

PYTHON EXAMPLE
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("given_names:", data.get("given_names"))
    print("surname:", data.get("surname"))
    print("document_number:", data.get("document_number"))

Illustrative AAMVA Data

This wholly fictional response demonstrates the API shape for product design and testing. It is not a real person's credential data.

{
  "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
  }
}

Frequently Asked Questions

Which fields are useful for visitor registration?

Common fields include given_names, surname, document_number. Optional values can be null when they are not encoded in the submitted record.

Does a successful PDF417 response verify identity or document authenticity?

No. The API does not make access-control decisions or validate the person's entitlement to enter.

How should unreadable barcode images be handled?

Use the 422 error code to request a glare-free photo of the complete license back. Do not automatically retry the same image or guess missing values.

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Technical Comparisons & Integrations

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