Ride-Share Driver License Barcode Onboarding API

Upload the image to your backend, call the deterministic PDF417 endpoint, and return either normalized AAMVA fields or an explicit retake action. 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

Ride-Share Driver License Barcode Onboarding API workflow using a fictional US driver license back and structured AAMVA JSON

The Data-Entry Problem in ride-share onboarding

A mobile onboarding flow must collect license details without exposing an API key or accepting plausible values from an unreadable image. 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

Upload the image to your backend, call the deterministic PDF417 endpoint, and return either normalized AAMVA fields or an explicit retake action. StructOCR's driver license PDF417 API decodes the barcode and parses the AAMVA record without asking a generative model to reconstruct unreadable values. Combine the extracted data with the platform's required background, eligibility, and identity checks.

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

Driver applications

Pre-fill document_number, date_of_expiry, region and require confirmation before committing the record.

Credential renewal

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

Review queues

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: Combine the extracted data with the platform's required background, eligibility, and identity checks.

Server-Side PDF417 Integration

Send the complete license-back image from a protected backend. This example selects fields relevant to ride-share onboarding 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("document_number:", data.get("document_number"))
    print("date_of_expiry:", data.get("date_of_expiry"))
    print("region:", data.get("region"))

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 ride-share onboarding?

Common fields include document_number, date_of_expiry, region. 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. Combine the extracted data with the platform's required background, eligibility, and identity checks.

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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