OCR Web Application Final Year Project | Source Code
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OCR Web Application Final Year Project

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Complete final-year project source code with frontend, backend, database, and setup guide. Instant download after secure payment.

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Project Overview

Description, tech stack, and what is included

Full source Frontend + backend
Database .sql file
Setup guide README included

OCR Web Application is a full-stack MERN-based OCR project designed to capture screenshots of any website, allow users to crop a specific area, and extract text from the selected region using Optical Character Recognition. The project is useful for developers, students, and content teams who need to quickly extract text from webpage screenshots and visual content.

The application includes URL screenshot capture, an interactive crop tool, multi-pass OCR using Tesseract.js, English and Hindi language support, OCR confidence score, copy-to-clipboard option, PDF export, optional MongoDB persistence, workflow progress UI, responsive design, and Firebase Hosting support.

This project is suitable for B.Tech, M.Tech, BCA, MCA, BE, ME, BSc, and MSc students who need a practical final year project, major project, or minor project based on OCR, image processing, text extraction, screenshot capture, Tesseract.js, MERN stack development, MongoDB persistence, PDF export, and web automation utilities. FileMakr can provide this project with source code, project report, documentation, and setup support for academic submission.

Technical snapshot

Project
OCR Web Application Final Year Project
Stack
NODE-JS
Includes
Code, DB, README
License
Academic submission
Secure CCAvenue payment · Instant download · Need help? WhatsApp us

Admin Features

Modules and controls available to administrators

In this Project Only User Features Exists

User Features

What end users can do in this application

  • Enter website URL in this final year project
  • Capture full-page website screenshot
  • Use APIFlash screenshot capture
  • Open screenshot in crop modal
  • Select specific crop region
  • Crop image at full native resolution
  • Save cropped image as PNG
  • Preview cropped image
  • Select OCR language
  • Extract text in English
  • Extract text in Hindi
  • Extract text using English + Hindi mode
  • Run multi-pass OCR
  • View extracted text
  • View word count
  • View character count
  • View OCR confidence score
  • Copy extracted text to clipboard
  • Download extracted text as PDF
  • Clear extracted text
  • Delete cropped image
  • Reset complete workflow
  • View OCR progress ring
  • View error messages
  • Use responsive UI on desktop and mobile
  • Follow 4-step workflow: Enter URL → Crop → Extract → Export
  • Store OCR result in MongoDB through backend API where configured

The Result module supports language selection, text extraction, cropped preview, PDF download, copy button, confidence score, word/character count, progress ring, and backend save integration.

Other Features

Additional capabilities included in the project

  • Full-stack MERN architecture in this final year project
  • React 17 frontend
  • Node.js backend
  • Express.js REST API
  • MongoDB database
  • Mongoose schema modeling
  • APIFlash screenshot capture
  • Tesseract.js OCR engine
  • React Image Crop integration
  • jsPDF PDF generation
  • Material-UI components
  • Snackbar toast notification
  • Custom CSS design system
  • Responsive layout
  • OCR confidence scoring
  • Multi-language OCR mode
  • High-resolution screenshot cropping
  • Multi-pass OCR extraction
  • MongoDB result persistence
  • Firebase Hosting deployment support
  • Copy extracted text
  • Export extracted text as PDF
  • 4-step workflow progress UI

The technology stack includes React, Material-UI, Tesseract.js, React Image Crop, jsPDF, Node.js, Express.js, MongoDB, Mongoose, CORS, APIFlash, Firebase Hosting, Create React App, and npm.

Technology Used

Layer Technology
Frontend React 17
UI Components Material-UI v4
OCR Engine Tesseract.js v5
Image Crop React Image Crop v8
PDF Export jsPDF
Styling CSS3 Custom Design System
Font Inter Google Font
Backend Node.js, Express.js
Database MongoDB
ODM Mongoose
Middleware CORS
Screenshot API APIFlash
Hosting Firebase Hosting
Build Tool Create React App

How to Run

Step-by-step setup on your laptop or PC

Step 1: Open Folder

cd OCR-Web-App-master

Step 2: Install frontend dependencies


 

npm install

Step 3: Install backend dependencies


 

cd backend

npm install

cd ..

Step 4: Start MongoDB

For Windows:


 

net start MongoDB

For macOS:


 

brew services start mongodb-community

For Linux:


 

sudo systemctl start mongod

For MongoDB Atlas, update the MongoDB connection string in backend/server.js.

Step 5: Configure APIFlash API Key

Open:


 

src/App/App.js

Replace the API key:


 

const API_KEY = 'YOUR_APIFLASH_ACCESS_KEY';

The APIFlash key is required for website screenshot capture.

Step 6: Run backend server

Open Terminal 1:


 

cd backend

node server.js

Expected output:


 

✅ MongoDB Connected

🚀 Server running on http://localhost:5000

Step 7: Run frontend

Open Terminal 2:


 

npm start

Frontend opens at:


 

http://localhost:3000

The project requires two terminals: one for the backend and one for the React frontend.

Login Credentials

Default demo accounts for testing after setup

This application does not include a user login or authentication system. There are no username/password credentials for sign-in

License

Usage terms for academic and personal projects

Related Tags

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