Add VIN OCR to Your App using Cursor in 5 Minutes

The problem: AI coding assistants can't read through windshield glare

Tools like Cursor are remarkable at writing code — but they stop at the boundary of complex vision tasks. You can instruct Cursor to build a beautiful fleet management interface in minutes, yet the actual extraction of a 17-character VIN from a reflective windshield or a scuffed door sticker requires a dedicated VIN OCR API. Standard vision models routinely confuse '8' with 'B' or '0' with 'O', which breaks downstream database lookups.

The solution: 17-character precision, instantly

StructOCR's /v1/vin endpoint accepts a photo and returns a clean JSON object with the validated VIN — bypassing glare, shadows, and bad angles. Because it speaks plain HTTP, Cursor can easily generate the client or server-side fetch logic to wire it up.

Integrate StructOCR using Cursor (3 Steps)

1. 1

   Open your project in Cursor and use Composer

   Open your web or mobile automotive project in cursor.com. Hit Cmd+I (or Ctrl+I) to open the Composer. Describe the automotive UI you want to build.

   💬Try this prompt: "Build a mobile-friendly VIN scanner UI component using shadcn. Users can upload a photo of a car dashboard or door jamb, and the app will display the extracted 17-character VIN and confidence score in a clean card."
2. 2

   Tell Cursor to call the StructOCR API

   Once Cursor scaffolds the component, paste the follow-up prompt below. Cursor will write the fetch call, handle the form data, and wire the response to your state variables.

   💬Follow-up prompt: "When a user uploads an image, send it as a multipart/form-data POST to https://api.structocr.com/v1/vin with an Authorization header containing my API key. Display the returned JSON fields in the UI."

   // Cursor generates something like this in your frontend framework const response = await fetch('https://api.structocr.com/v1/vin', { method: 'POST', headers: { Authorization: `Bearer ${process.env.NEXT_PUBLIC_STRUCTOCR_KEY}` }, body: formData, });
3. 3

   Add your StructOCR API key to your .env file

   Open your local .env or .env.local file in Cursor and securely add your StructOCR key. Restart your development server to see the live scanner.

   💬Variable name: NEXT_PUBLIC_STRUCTOCR_KEY — get your free key at structocr.com/dashboard

   NEXT_PUBLIC_STRUCTOCR_KEY=sk_live_xxxxxxxxxxxxxxxx

What you can build in Cursor with this integration

• Dealership intake app: Let salespeople snap a photo of a car's dashboard to instantly populate trade-in appraisal forms without typing out 17 characters manually. A core feature of dealership automation.
• Fleet management tracker: Build a mobile app for drivers to scan their assigned vehicle's VIN at the start of a shift to log out the asset.
• Mobile mechanic diagnostics: Create a tool where mechanics scan a door jamb sticker to automatically fetch the vehicle's year, make, model, and engine specs.
• Auto insurance claims: Add an upload step to a self-service claims flow: extract the VIN automatically from the policyholder's photos to verify the insured vehicle.

The prompt and the code

Copy the follow-up prompt into Cursor's Composer (Cmd+I) to generate the integration. The code block shows the standard fetch logic Cursor will likely produce.

Prerequisite: A free StructOCR account — get your API key at structocr.com/dashboard (no credit card required)

I need to add VIN OCR to this app.

When a user uploads an image:
1. Send it as multipart/form-data to: POST https://api.structocr.com/v1/vin
2. Include the header: Authorization: Bearer ${NEXT_PUBLIC_STRUCTOCR_KEY}
3. The response is JSON with fields: data.vin, data.confidence, data.carrier_type
4. Display the extracted VIN in a large, clear font
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 lightweight, direct JSON response. Your UI built via Cursor can bind this directly to components.

{
  "success": true,
  "data": {
    "vin": "1M8GDM9A6KP042788",
    "confidence": "High",
    "carrier_type": "windshield"
  }
}