District of Columbia Driver License & ID Card PDF417 API

Decode the PDF417 barcode on District of Columbia driver licenses and state ID cards into AAMVA JSON, with document_kind to tell licenses from ID cards.

Reading District of Columbia Card Barcodes in Real Workflows

Washington, DC has many residents who do not own a car, so non-driver ID cards are common at venues and building security desks. Lobby kiosks with fixed cameras struggle when a card is held at an angle. PDF417 error correction recovers some damage, but an application should never invent identity values when the barcode cannot be decoded.

One API for District of Columbia Licenses and ID Cards

District of Columbia cards are issued by the District of Columbia Department of Motor Vehicles. Licenses and identification cards carry the same AAMVA DL/ID PDF417 barcode on the back. Send the back image to the StructOCR PDF417 API: it decodes the barcode deterministically, normalizes the jurisdiction to DC, and returns document_kind as driver_license or id_card. Test a non-sensitive sample in the free PDF417 scanner. For the printed front of the card, use the Driver License OCR API.

Where This Workflow Fits

  • Office building visitor desks: Pre-fill names, dates, and address for office building visitor desks and keep final confirmation in your application.
  • Bar and venue entry: Accept both District of Columbia licenses and state ID cards, and use document_kind where only a license is acceptable.
  • Non-driver ID account setup: Send unreadable District of Columbia barcodes to a retake or manual review step instead of saving partial identity data.
Need more testing? Create a free account to get 200 free credits (equals 100 Driver License scans).

Decode a District of Columbia Card Back

Upload a JPG, PNG, or WebP image of the full card back. Move out of direct light or tilt the card slightly to remove glare, then upload the original camera photo.

Prerequisite: A server-side StructOCR API key and a clear image of the complete card back

curl -X POST https://api.structocr.com/v1/driver-license-pdf417 \
  -H "x-api-key: $STRUCTOCR_API_KEY" \
  -F "file=@district-of-columbia-card-back.jpg"

Technical Specs

  • •Endpoint: POST https://api.structocr.com/v1/driver-license-pdf417
  • •Document scope: Back of a District of Columbia driver license or state ID card with an AAMVA PDF417 record
  • •Inputs: JPG, PNG, or WebP; Base64 JSON or multipart upload; maximum 4.5 MB
  • •Cost: 2 credits for a successful decode; processing failures are refunded
  • •Region output: DC when encoded in a valid District of Columbia record; document_kind separates licenses from ID cards
  • •Important: Parsing barcode data does not by itself authenticate the credential or the person presenting it

Key Features

  • •Deterministic source: Returned identity fields come from the decoded barcode payload, not generative guessing.
  • •Retake-safe errors: PDF417_NOT_DECODED and AAMVA_NOT_VALID return explicit 422 responses, with an optional capture_issue hint.
  • •License or ID card: document_kind reports which record the barcode carries; ID cards return null license class, restrictions, and endorsements.
  • •Local demand: Built for building security desks, nightlife age checks, and car-free residents using ID cards.

Illustrative District of Columbia ID Card Response

This response uses wholly fictional data to show a DC identification card. A license returns document_kind driver_license and its class fields.

{
  "success": true,
  "data": {
    "type": "drivers_license",
    "document_kind": "id_card",
    "source": "pdf417",
    "country_code": "USA",
    "region": "DC",
    "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": null,
    "restrictions": null,
    "endorsements": null,
    "document_discriminator": "SAMPLE-DISCRIMINATOR",
    "issuer_identification_number": null,
    "aamva_version": 10,
    "jurisdiction_version": 0
  }
}

Frequently Asked Questions

Does the API read District of Columbia state ID cards as well as driver licenses?

Yes, when the back of the card carries a usable AAMVA record. The response sets document_kind to id_card for identification cards and driver_license for licenses.

Does a successful District of Columbia decode prove the card is genuine?

No. It proves a usable barcode payload was decoded and parsed. Authenticity, identity, eligibility, and fraud decisions require separate controls.

What should the app do after a 422 response?

Ask for a new photo of the full District of Columbia card back in even light, using the capture_issue hint when present. Do not fill missing fields from an uncertain barcode.

You May Also Like

Related tutorials, platform guides, and comparisons

Tutorial

Kentucky Driver License & ID Card PDF417 API

Decode the PDF417 barcode on Kentucky driver licenses and state ID cards into AAMVA JSON, with document_kind to tell licenses from ID cards.

Driver License
Tutorial

C# / .NET US Driver License PDF417 API Tutorial

Decode US driver license PDF417 barcodes with C# / .NET. Send a license-back image, parse AAMVA fields, and handle unreadable barcode errors safely.

C# · Driver License
Country Tutorial

UK Driver License OCR with Node.js SDK

Extract structured fields from a United Kingdom photocard driving licence with the StructOCR Node.js SDK and TypeScript + Express.

Node.js · Driver License
Tutorial

C# / .NET State ID Card PDF417 API Tutorial

Decode US state and Canadian provincial ID card PDF417 barcodes with C# / .NET. Parse AAMVA fields and tell ID cards from driver licenses.

C# · Driver License
Country Tutorial

New Jersey Driver License OCR: Extract Fields with Python

Extract visible fields from New Jersey driver license images into JSON. Map identifiers, names and dates, with a review workflow for incomplete results.

Python · Driver License
Country Tutorial

Brazil Driver License OCR with Node.js SDK

Extract structured fields from a Brazil Carteira Nacional de Habilitação (CNH) with the StructOCR Node.js SDK and TypeScript + Express.

Node.js · Driver License
Country Tutorial

Australia Driver License OCR with Node.js SDK

Extract structured fields from a Australia state or territory driver licence with the StructOCR Node.js SDK and TypeScript + Express.

Node.js · Driver License
Tutorial

Django PDF417 Driver License API

Build a Django form or REST backend that decodes US driver license PDF417 barcodes and returns normalized AAMVA JSON with safe retake handling.

Driver License
Country Tutorial

Brazil Driver License OCR with Python SDK

Extract structured fields from a Brazil Carteira Nacional de Habilitação (CNH) with the StructOCR Python SDK and FastAPI.

Python · Driver License
Country Tutorial

Australia Driver License OCR with Python SDK

Extract structured fields from a Australia state or territory driver licence with the StructOCR Python SDK and FastAPI.

Python · Driver License

Technical Comparisons & Integrations

Explore platform integrations and competitive analysis

From tutorial to production in 5 minutes.

You've seen the code. Now get your API key, grab your 200 free credits, and see it work with your own images. No credit card required.

Instant Access Cancel Anytime No Credit Card