Add Driver's License OCR to Your v0 App in 5 Minutes
v0 scaffolds your React UI. StructOCR reads the plastic cards. Here's the exact prompt and API call to wire them together for instant driver onboarding.

Why v0 + StructOCR is a natural fit for Mobility Apps
v0 generates beautiful, accessible React interfaces using Tailwind CSS and shadcn/ui directly from plain English. It handles the frontend components perfectly — but securely extracting vehicle classes, addresses, and expiry dates from a driver's license is something you have to wire up yourself. StructOCR fills exactly that gap: one API call, structured JSON back. Tell v0 what you want, paste in the fetch code below, and your driver onboarding flow is ready.
The problem: Standard AI fails on holograms and state layouts
Tools like v0 are remarkable at generating UIs instantly — but they stop at the file boundary. You can build a beautiful booking interface in minutes, yet the actual extraction of names, addresses, and vehicle classes from hundreds of different state and regional card layouts requires a dedicated Driver's License OCR API. Standard vision models routinely misread micro-print, hallucinate over security holograms, or fail to locate the right fields across chaotic layouts.
The solution: 50-state & global parsing, instantly
StructOCR's /v1/driver-license endpoint accepts a photo and returns a clean JSON object with the validated driver details. It automatically handles the chaotic variations of state IDs, decodes dates, and structures the address. Because it speaks plain HTTP, v0 can wire it up from a single fetch call.
Integrate StructOCR in v0 (3 Steps)
Create a v0 project and describe your app
Open v0.dev and start a new prompt. Describe the mobility or verification tool you want to build — be specific about the fields you need.
Try this prompt: "Build a mobile-friendly car rental onboarding UI using shadcn. Users can upload a photo of their driver's license, and the app will display the extracted full name, license number, address, and vehicle class in a clean card."Tell v0 to call the StructOCR API
Once v0 scaffolds the UI, paste the follow-up prompt below. v0 will update the React code to handle the file upload and wire the API response to your UI components.
Follow-up prompt: "When a user uploads an image, send it as a multipart/form-data POST to https://api.structocr.com/v1/driver-license with an Authorization header containing my API key. Display the returned JSON fields in the results panel."// v0 generates something like this in your React component const response = await fetch('https://api.structocr.com/v1/driver-license', { method: 'POST', headers: { Authorization: `Bearer ${process.env.NEXT_PUBLIC_STRUCTOCR_KEY}` }, body: formData, });Add your StructOCR API key
When you export your v0 project to a Next.js codebase or deploy to Vercel, simply add your StructOCR key to your .env.local file or Vercel Environment Variables.
Variable name: NEXT_PUBLIC_STRUCTOCR_KEY — get your free key at structocr.com/dashboardNEXT_PUBLIC_STRUCTOCR_KEY=sk_live_xxxxxxxxxxxxxxxx
What you can build in v0 with this integration
- Car rental & sharing (Mobility): Let users snap a photo of their license to instantly populate booking forms and verify driving privileges. A core feature for mobility apps.
- Delivery driver onboarding: Build a mobile portal where gig-economy contractors upload their licenses for instant identity verification and vehicle class checking.
- Auto insurance quoting: Create a tool that scans a user's license to auto-fill their name, address, and DOB into a quoting engine, drastically reducing form abandonment.
- Age verification for delivery: Add a quick scan step for drivers delivering alcohol or restricted goods to verify the recipient's age automatically based on the extracted `date_of_birth`.
The prompt and the code
Copy the follow-up prompt into your v0 chat to generate the integration. The code block shows what v0 typically produces — useful if you want to verify or customize it.
Prerequisite: A free StructOCR account — get your API key at structocr.com/dashboard (no credit card required)
I need to add Driver's License OCR to this app.
When a user uploads an image:
1. Send it as multipart/form-data to: POST https://api.structocr.com/v1/driver-license
2. Include the header: Authorization: Bearer ${process.env.NEXT_PUBLIC_STRUCTOCR_KEY}
3. The response is JSON with fields: data.document_number, data.surname, data.given_names, data.address, data.vehicle_class, data.date_of_expiry
4. Display the extracted driver data in a clear, formatted profile card
5. Show a loading spinner while the request is in flight
6. Show an error message if the upload fails
Use the environment variable NEXT_PUBLIC_STRUCTOCR_KEY for the API key.What the API returns
A comprehensive JSON object containing the parsed license fields. Your v0 React components can bind this directly to the UI.
{
"success": true,
"data": {
"type": "drivers_license",
"country_code": "USA",
"region": "CA",
"document_number": "E3802489",
"personal_number": null,
"surname": "IDNOOB",
"given_names": "MING",
"date_of_birth": "1988-06-06",
"date_of_expiry": "2020-06-06",
"date_of_issue": "2015-07-22",
"sex": "F",
"address": "750 GONZALEZ DR APT 6B, SAN FRANCISCO, CA 94512",
"vehicle_class": "C",
"extra_details": {
"fathers_name": null,
"mothers_name": null,
"rg_number": null,
"card_security_number": "06/09/2014599A5/DOFD/19"
}
}
}Technical Specs
- Formats accepted: PNG, JPG, WEBP — optimized for smartphone and webcam photos
- Response time: typically 1–2 seconds per license
- Condition handling: robust against lamination glare, holographic overlays, and worn-out plastic
- Data Privacy: Zero data retention architecture; images are processed in memory and immediately discarded
- Coverage: Supports all 50 US States, Canada, UK, Australia, EU, and dozens of international layouts
Key Features
- Address Structuring: automatically parses complex multi-line addresses into clean, readable strings
- Format validation: automatically verifies document numbers and dates against regional logic
- Multi-angle support: reads licenses held at skewed angles or taken in busy backgrounds
- Vertical ID support: accurately reads both standard horizontal licenses and vertical under-21 layouts
Live Demo: Passport scanner
No registration required. Upload a file to test the extraction.
Drop files here or click to browse
JPG · PNG · WebP · up to 500 files · max 4.5 MB each
Frequently Asked Questions
Does StructOCR work inside a v0 app?
Where should I store the API key for mobility apps?
Does StructOCR store the driver's license photos?
Can it read licenses from all 50 US States?
How can I test the accuracy before building?
Is there a free tier to test with?
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