Add Invoice OCR to Your Replit App in 5 Minutes
Replit Agent scaffolds your full-stack application. StructOCR reads the invoices. Here's the exact prompt and API call to wire them together using Replit Secrets for instant accounts payable tracking.

Why Replit + StructOCR is a natural fit
Replit generates full-stack applications instantly from natural language using Replit Agent. It provisions the database, configures the server routes, and spins up frontend components seamlessly โ but extracting unstructured data from complex invoice layouts is something you need an explicit data pipeline to handle. StructOCR fills exactly that gap: one API call, structured JSON back. Tell Replit Agent what you want, paste in the fetch code below, and your cloud-hosted invoice parsing app is live.
The problem: AI builders don't read documents
Cloud-based AI environments like Replit are remarkable at writing boilerplates and orchestrating backend environments โ but they stop at the boundary of complex vision tasks. You can build a beautiful invoice upload interface in minutes, yet the actual extraction of vendor names, line items, totals, and dates still requires a dedicated Invoice OCR API. Most teams either skip this feature or spend days integrating a general-purpose vision model that returns unstructured text.
The solution: one API call, structured JSON
StructOCR's /v1/invoice endpoint accepts an image stream and returns a clean, fully typed JSON object with every field pre-labeled โ no prompting, no parsing, no post-processing. Because it runs as a pure REST API, your Replit container can talk to it effortlessly via a zero-dependency server-side request.
Integrate StructOCR in Replit (3 Steps)
Describe your app to Replit Agent
Open replit.com and start a new workspace using Replit Agent. Describe the accounts payable or billing tool you want to build โ be explicit about the scanning interface.
Try this prompt: "Build a mobile-friendly invoice upload application using React and Node.js. Users can upload an invoice image and see the vendor name, invoice date, due date, and total amount extracted automatically inside a clean dashboard workspace."Instruct the Agent to connect to the StructOCR endpoint
Once the foundational UI and backend scaffolding are ready, paste the follow-up prompt into the Agent chat panel. Replit Agent will generate the network logic, wire up file stream uploads, and pipe the extracted data safely to your view state.
Follow-up prompt: "When a user uploads an invoice image, create a backend endpoint that forwards it as a multipart/form-data POST request to https://api.structocr.com/v1/invoice. Authenticate using the bearer token stored in process.env.STRUCTOCR_KEY. Return the JSON payload back to the client UI."// Replit Agent wires this up inside your Express/Next server handler securely const response = await fetch('https://api.structocr.com/v1/invoice', { method: 'POST', headers: { Authorization: `Bearer ${process.env.STRUCTOCR_KEY}` }, body: formData, });Add your StructOCR API key to Replit Secrets
Navigate to the Tools โ Secrets menu in your Replit editor workspace sidebar. Add a new key named
STRUCTOCR_KEYand paste your private API token into the value field. The workspace environment automatically loads the variable.Variable name: STRUCTOCR_KEY โ get your free key at structocr.com/dashboardKey: STRUCTOCR_KEY Value: sk_live_xxxxxxxxxxxxxxxx
What you can build in Replit with this integration
- Accounts payable dashboard: Let your team upload supplier invoices and automatically populate a tracker with vendor, amount, and due date โ no manual data entry. Perfect for building custom accounts payable automation workflows hosted entirely in cloud containers.
- Freelance invoice manager: Build a personal tool that reads your client invoices, calculates outstanding totals, and exports to CSV โ all engineered seamlessly inside Replit in under an hour.
- Expense approval workflow: Add an upload step to an approval flow: extract invoice details automatically and route for sign-off without any copy-pasting. This is the foundation of modern expense management automation.
- Multi-vendor price comparison: Parse invoices from multiple suppliers and compare line-item pricing side by side โ a task that previously required a developer and a parsing library.
The prompt and the code
Copy the follow-up prompt text into your Replit Agent chat interface to implement the bridge handler. The backend example indicates how Replit typically handles file proxying to protect production secrets.
Prerequisite: A free StructOCR account โ get your API key at structocr.com/dashboard (no credit card required)
I need to add invoice OCR to this application using a secure backend endpoint.
When a file is uploaded to our express app:
1. Forward it as multipart/form-data to: POST https://api.structocr.com/v1/invoice
2. Include the header: Authorization: Bearer ${process.env.STRUCTOCR_KEY}
3. The response is JSON with fields: vendor_name, invoice_date, due_date, total_amount, currency, line_items[]
4. Pass this object to the client so it can display each field in the results panel below the upload button
5. Show a loading spinner while the request is in flight and handle errors elegantly.
Read the API token using process.env.STRUCTOCR_KEY.What the API returns
Every field is labeled and typed. Your cloud application built via Replit Agent can bind this data structure directly to components without any transformation.
{
"invoice_number": "INV-2024-0891",
"vendor_name": "Acme Supplies Ltd.",
"vendor_address": "123 Commerce St, Austin TX 78701",
"invoice_date": "2024-11-14",
"due_date": "2024-12-14",
"currency": "USD",
"subtotal": 2400,
"tax": 192,
"total_amount": 2592,
"line_items": [
{
"description": "Widget Pro (12-pack)",
"quantity": 4,
"unit_price": 500,
"amount": 2000
},
{
"description": "Shipping & Handling",
"quantity": 1,
"unit_price": 400,
"amount": 400
}
],
"confidence": 0.97
}Technical Specs
- Formats accepted: PNG, JPG, WEBP โ including scanned and photographed invoices
- Response time: typically 1โ3 seconds per page
- Languages: English, Spanish, French, German, Chinese, Japanese, and 40+ more
- Max file size: 20 MB per request
- Confidence scores: each field includes an extraction confidence value
Key Features
- Structured output: every field is named and typed โ no regex, no parsing
- Line items: products, quantities, unit prices, and subtotals extracted as an array
- Tax and discount: VAT, GST, and discount rows are detected and labeled separately
- Multi-page support: invoices spanning multiple pages are handled in a single call
- Works with photos: blurry or skewed smartphone photos are corrected automatically
Live Demo: Invoice extractor
No registration required. Upload a file to test the extraction.
Drop files here or click to browse
JPG ยท PNG ยท WebP ย ยทย up to 500 files ยท max 4.5 MB each
Frequently Asked Questions
Does StructOCR work inside a Replit environment?
Where should I store the StructOCR API key within Replit?
Can I integrate this directly into full-stack frameworks with Replit?
What invoice formats does StructOCR support?
How accurate is the invoice extraction?
Is there a free tier to test with?
Can I use this template format for other platforms?
What if my invoice is not in English?
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Precise Data Extraction and Seamless
Integration with AI-powered OCR API.
Empower your solutions with automated data extraction by
integrating best-in class StructOCR via API seamlessly.
No credit card required โข Full API access included