Add Receipt OCR to Your v0 App in 5 Minutes

The problem: AI builders don't read crumpled receipts

Tools like v0 are remarkable at generating UIs instantly — but they stop at the file boundary. You can build a beautiful expense upload interface in minutes, yet the actual extraction of merchant names, purchased items, taxes, and totals from faded thermal paper requires a dedicated Receipt OCR API. Most teams either skip this feature or spend days trying to force a general-purpose vision model to format line items correctly.

The solution: one API call, structured JSON

StructOCR's /v1/receipt endpoint accepts a photo and returns a clean JSON object with every field pre-labeled — no prompting, no parsing, no post-processing. Because it speaks plain HTTP, v0 can wire it up from a single fetch call without heavy backend dependencies.

Integrate StructOCR in v0 (3 Steps)

1. 1

   Create a v0 project and describe your app

   Open v0.dev and start a new prompt. Describe the app you want to build — be specific about the receipt fields you need.

   💬Try this prompt: "Build a receipt scanner UI using shadcn. Users can upload a photo of a receipt and see the merchant name, date, time, and total amount extracted automatically in a clean card."
2. 2

   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, Base64-encode it and send JSON { img: base64Image } to POST https://api.structocr.com/v1/receipt. Set x-api-key to my API key and Content-Type to application/json. Make the call from a server route so the API key is never exposed, then display the current response fields in the results panel."

   const base64Image = await fileToBase64(file); const response = await fetch('https://api.structocr.com/v1/receipt', { method: 'POST', headers: { 'x-api-key': process.env.STRUCTOCR_KEY, 'Content-Type': 'application/json', }, body: JSON.stringify({ img: base64Image }), });
3. 3

   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: STRUCTOCR_KEY — keep it server-side and get your free key at structocr.com/dashboard

   STRUCTOCR_KEY=sk_live_xxxxxxxxxxxxxxxx

What you can build in v0 with this integration

• Corporate expense tracker: Let employees snap photos of their lunch or travel receipts and automatically populate a reimbursement tracker. Perfect for building custom expense management automation workflows.
• Loyalty & rewards scanning: Build a consumer app where users upload grocery receipts to prove purchase of specific brands and earn reward points automatically.
• Personal budgeting dashboard: Create a financial tool that reads your daily coffee and retail receipts, categorizes the spending, and calculates monthly totals — all inside v0.
• Tax preparation assistant: Parse hundreds of receipts to separate tax amounts and deductible expenses without manual data entry.

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 tweak it. The Receipt API has been upgraded and the endpoint remains unchanged; standard mode costs 1 credit, and `?accuracy=enhanced` costs 2 credits. Run this integration in a server route or server action so the API key is not shipped to the browser.

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

I need to add receipt OCR to this app.

When a user uploads an image:
1. Convert the image to a Base64 string.
2. Send JSON { img: base64Image } to: POST https://api.structocr.com/v1/receipt
3. Include x-api-key: ${STRUCTOCR_KEY} and Content-Type: application/json.
4. Read the current response fields: response_version, merchant_name, date, time, total_amount, tax_amount, currency, items[], status, issues, confidence, is_valid, and validation_error.
5. Display the fields, show a loading state, and handle non-2xx errors.

Make the API call from a server route or server action and keep the API key in the server-side STRUCTOCR_KEY environment variable. Standard mode costs 1 credit; use ?accuracy=enhanced for enhanced processing at 2 credits.

What the API returns

Every field is labeled and typed. Your v0 React components can bind this directly to the UI without any transformation.

{
  "success": true,
  "data": {
    "response_version": 2,
    "is_valid": true,
    "confidence": "high",
    "merchant_name": "Blue Bottle Coffee",
    "date": "2026-04-22",
    "time": "08:45 AM",
    "currency": "USD",
    "total_amount": 14.5,
    "tax_amount": 1.25,
    "items": [
      {
        "name": "Caffe Latte - Large",
        "quantity": 2,
        "price": "11.00"
      },
      {
        "name": "Butter Croissant",
        "quantity": 1,
        "price": "3.50"
      }
    ],
    "validation_error": null,
    "status": "complete",
    "issues": []
  }
}