AAMVA Driver’s License Parser – Extract ID Data from PDF417 Barcodes
Parse U.S. and Canadian driver’s license data from PDF417 barcodes instantly with barKoder’s AAMVA parser — fast, structured, standards-compliant.
Parse U.S. and Canadian driver’s license data from PDF417 barcodes instantly with barKoder’s AAMVA parser — fast, structured, standards-compliant.
barKoder’s AAMVA parser is designed to automatically extract structured identity data from PDF417 barcodes found on U.S. and Canadian driver’s licenses and ID cards, in compliance with the official AAMVA DL/ID Card Design Standard.
Whether you're verifying identity for onboarding, KYC, access control, or fleet management, barKoder instantly returns clean, labeled fields from a single scan.
barKoder's parser decodes and organizes the AAMVA data into structured fields which are then returned in a developer-friendly JSON format, with key-value pairs mapped to the AAMVA data elements, like so:
{
"first_name": "Alex",
"last_name": "Johnson",
"license_number": "D12345678",
"address": "123 Main St",
"city": "Austin",
"state": "TX",
"zip": "78701",
"dob": "1990-02-12",
"issue_date": "2022-01-01",
"expiry_date": "2030-01-01"
}
The American Association of Motor Vehicle Administrators (AAMVA) defines the standard for driver’s license barcode data across North America.
Most states and provinces use PDF417 barcodes on the back of ID cards to encode information according to the accepted AAMVA specifications such as:
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