Replit Tutorial5 min setupDeveloper friendly

Add National ID OCR to Your Replit App in 5 Minutes

Replit Agent scaffolds your full-stack application. StructOCR reads the identity cards. Here's the exact prompt and API call to wire them together using Replit Secrets for instant KYC.

Diagram showing a National ID card photo uploaded into an app running on Replit, sent to the StructOCR API, and returned as structured JSON containing the parsed name, DOB, and MRZ data.
Upload β†’ parse β†’ display: the full flow takes a single API call.

Why Replit + StructOCR is a natural fit for Identity Verification

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 β€” but securely extracting names, birth dates, and MRZ codes from a laminated ID card photo 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 driver verification system is live.

The problem: Standard AI hallucinates PII and fails on holograms

Cloud-based AI environments like Replit are remarkable at writing boilerplates and orchestrating backend environments β€” but they stop at the boundary of specialized document parsing. You can build a beautiful KYC upload interface in minutes, yet the actual extraction of names, document numbers, and MRZ lines from a laminated ID card requires a dedicated National ID OCR API. Standard vision models routinely misread security fonts, hallucinate personal data, or fail entirely on holographic overlays and glare.

The solution: Global ID parsing, instantly

StructOCR's /v1/national-id endpoint accepts an image stream and returns a clean, fully typed JSON object with the validated identity fields. It automatically decodes Machine Readable Zones (MRZ) and handles complex, localized ID layouts. 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)

  1. Describe your app to Replit Agent

    Open replit.com and start a new workspace using Replit Agent. Describe the identity verification tool you want to build β€” be explicit about the identity fields you need to collect.

    Try this prompt: "Build a mobile-friendly KYC onboarding application using React and Node.js. Users can upload a photo of their National ID card, and the app will display the extracted full name, document number, date of birth, and address in a clean dashboard workflow."
  2. 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 identity image, create a backend endpoint that forwards it as a multipart/form-data POST request to https://api.structocr.com/v1/national-id. 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/national-id', { method: 'POST', headers: { Authorization: `Bearer ${process.env.STRUCTOCR_KEY}` }, body: formData, });
  3. Add your StructOCR API key to Replit Secrets

    Navigate to the Tools β†’ Secrets menu in your Replit editor workspace sidebar. Add a new key named STRUCTOCR_KEY and paste your private API token into the value field. The workspace environment automatically loads the variable.

    Variable name: STRUCTOCR_KEY β€” get your free key at structocr.com/dashboard
    Key: STRUCTOCR_KEY Value: sk_live_xxxxxxxxxxxxxxxx

What you can build in Replit with this integration

  • Fintech onboarding (KYC): Let users snap a photo of their ID to instantly populate sign-up forms without manual typing, drastically reducing drop-off rates in financial onboarding flows hosted in cloud environments.
  • Gig economy driver signup: Build a cloud-hosted portal where contractors upload their ID cards for instant identity verification, a crucial step for mobility and delivery apps.
  • Age verification gates: Create a tool that scans a user's ID, calculates their age based on the extracted `date_of_birth`, and conditionally grants access to age-restricted goods or services.
  • Visitor management systems: Add an upload step to a corporate check-in flow: extract visitor details automatically from their national ID to print temporary badges in seconds.

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 β€” get your API key at structocr.com/dashboard (no credit card required)

I need to add National ID 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/national-id
2. Include the header: Authorization: Bearer ${process.env.STRUCTOCR_KEY}
3. The response is JSON with fields: data.surname, data.given_names, data.document_number, data.date_of_birth, data.address
4. Pass this object to the client so it can display the identity records in a clean profile card layout
5. Implement loading sequences and file upload error traps.

Read the API token using process.env.STRUCTOCR_KEY.

What the API returns

A comprehensive JSON object containing both primary identity fields and specialized MRZ strings. Your application can bind this directly to database records or your frontend components.

{
  "success": true,
  "data": {
    "type": "national_id",
    "country_code": "ROU",
    "nationality": "ROMANA",
    "document_number": "123456",
    "card_series": "KS",
    "personal_number": "1920319123456",
    "surname": "POPESCU",
    "given_names": "ANDREI",
    "sex": "M",
    "date_of_birth": "1992-03-19",
    "place_of_birth": "Jud. CS Mun. ReΘ™iΘ›a",
    "address": "Jud. CS OrΘ™. BocΘ™a Str. Nucilor Nr. 15",
    "date_of_issue": "2020-05-10",
    "date_of_expiry": "2030-05-10",
    "issuing_authority": "SPCLEP BocΘ™a",
    "additional_fields": {
      "phone_number": null,
      "tramite_number": null,
      "ejemplar": null,
      "mrz_line_1": "IDROU123456<0<<<<<<<<<<<<<<<<",
      "mrz_line_2": "9203195M3005108ROU19203191234562",
      "mrz_line_3": null
    }
  }
}

Technical Specs

  • Formats accepted: PNG, JPG, WEBP β€” optimized for smartphone and webcam photos
  • Response time: typically 1–2 seconds per ID
  • Condition handling: robust against lamination glare, holographic overlays, and poor lighting
  • Data Privacy: Zero data retention architecture; images are processed in memory and immediately discarded
  • Global coverage: supports 150+ countries and thousands of localized card templates

Key Features

  • MRZ Decoding: automatically extracts and validates data from the Machine Readable Zone (MRZ) if present
  • Format validation: automatically verifies document numbers and personal identity numbers against regional checksum rules
  • Multi-angle support: reads IDs held at skewed angles or taken in busy backgrounds
  • Cross-referencing: compares the visual inspection zone (VIZ) against the MRZ for fraud detection

Live Demo: ID card scanner

No registration required. Upload a file to test the extraction.

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Frequently Asked Questions

Does StructOCR work inside a Replit environment?

Yes. StructOCR exposes standard, cloud-agnostic REST endpoints. Replit Agent can easily generate backend Express handlers or client-side fetches to communicate with it.

Where should I store the API key within Replit?

Always use the built-in Secrets tool window (available under the tools tab in the workspace). Never hardcode your API tokens into files like `index.js` or save them inside standard text config blocks, to prevent accidental public exposures on shared forks.

Does StructOCR store the ID photos?

No. StructOCR operates on a strict zero-data-retention policy. Images are processed in memory to extract the JSON data and are instantly discarded, ensuring GDPR and SOC2 compliance.

Can it read IDs with holograms and heavy glare?

Yes. Our models are specifically trained to read through lamination glare, security holograms, and poor webcam lighting conditions common in end-user onboarding flows.

How can I test the accuracy before building?

You can verify the model live using our free ID card scanner tool.

Is there a free tier to test with?

Yes. StructOCR's free plan includes 10 scans per month with no credit card required. Check out our pricing page for full details.

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