OCR Flask App

Table of Contents

• About the Project
• Features
• Technologies Used
• Getting Started
  • Prerequisites
  • Local Development Setup
• Deployment
• Uploading & Viewing Results
• Project Structure
• Lessons Learned
• Future Enhancements
• Contributing
• License
• Contact

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About the Project

Live Demo: https://ocr-flask-app-0la0.onrender.com

This web-based OCR application built with Flask allows users to upload images, processes them using OpenCV, performs OCR with Tesseract, and displays extracted text. Designed to handle deployment challenges for system-level dependencies in cloud environments.

LiveOCR Home

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Features

• Image Upload: JPG/PNG support with drag-and-drop
• Result Display: Side-by-side view of original image and extracted text
• Image Processing:
  • Grayscale conversion
  • Thresholding
  • Noise reduction
• OCR Results:
  • Clean text formatting
  • Direct image/text comparison
  • Copy-to-clipboard functionality

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Uploading & Viewing Results

Step-by-Step Process:

1. Upload Image:

   • Drag & drop into the designated zone
   • Or click "Browse Files" to select from device

     Upload File's

     

2. Image Processing:

   • Automatic conversion to optimal OCR format
   • Background processing using OpenCV

3. Result Display:

   • Original image shown in left panel
   • Extracted text displayed in right panel
   • Text appears in formatted <pre> block
   • Image stored temporarily at:

     static/uploads/{filename}

     LiveOCR Result

     

4. New Conversion:

   • Click "Convert Another Image" to restart

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Deployment

Live Deployment

Currently hosted on Render.com:
https://ocr-flask-app-0la0.onrender.com

Deployment Features:

• Auto-scaling: Handles traffic spikes
• Dockerized: Consistent environment
• Continuous Deployment: GitHub integration
• SSL: Secure HTTPS connection

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[Rest of the README remains unchanged...]