Fintech KYC Form Prefill from Driver License PDF417

The Data-Entry Problem in financial onboarding

Long identity forms increase abandonment, but silently trusting scanned fields can create compliance and data-quality problems. 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

Pre-fill normalized fields from the barcode, show them to the applicant for confirmation, and pass the result into the institution's independent KYC controls. StructOCR's driver license PDF417 API decodes the barcode and parses the AAMVA record without asking a generative model to reconstruct unreadable values. PDF417 parsing is not a complete KYC, sanctions, fraud, or identity-verification service.

Workflow Applications

Server-Side PDF417 Integration

Send the complete license-back image from a protected backend. This example selects fields relevant to financial onboarding 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("given_names:", data.get("given_names"))
    print("surname:", data.get("surname"))
    print("address:", data.get("address"))

{
  "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
  }
}