Welcome to the Text Extractor from Image, an innovative web application that brings the power of Optical Character Recognition directly to your browser. This cutting-edge tool transforms images containing text into editable digital content with remarkable accuracy and speed. Whether you're working with scanned documents, photographs of signs, screenshots of important information, or any other image-based text, our application provides a seamless solution for digitizing your content without compromising your privacy.

Built with modern web technologies including HTML5, CSS3, and JavaScript, this application leverages the powerful Tesseract.js OCR engine to deliver professional-grade text extraction capabilities entirely client-side. The intuitive interface features drag-and-drop functionality, real-time progress tracking, and support for multiple languages, making it accessible to users across various domains and technical backgrounds. Your documents remain secure on your device throughout the entire process, ensuring complete data privacy while providing the convenience of instant text conversion at your fingertips.

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Key Features:

• Modern glassmorphism UI design with gradient backgrounds and smooth animations

• Responsive layout that adapts to desktop, tablet, and mobile devices

• Drag-and-drop upload support with instant preview

• Real-time OCR progress tracking with loading indicator

• Multi-language text recognition support

• Extracted text displayed in a clean, editable textarea

• Copy-to-clipboard functionality for quick usage

• Download extracted text as a .txt file

• Works entirely client-side for complete privacy

Technologies Used:

• HTML5 for semantic structure and layout

• CSS3 with modern features including Flexbox, gradients, and animations

• JavaScript ES6+ for OCR logic and interactivity

• Tesseract.js for Optical Character Recognition

• CSS Grid and Flexbox for responsive layout design

• CSS custom properties for dynamic styling

• CSS transitions and keyframe animations for smooth interactions

• Event handling for user interactions and process control

How to Use:

1. Open the HTML file in any modern web browser.

2. Upload an image by dragging and dropping it into the upload area or using the browse button.

3. Wait for the OCR engine to process the image (progress will be displayed).

4. View the extracted text in the output panel.

5. Copy the text directly or download it as a .txt file for later use.

Sample Screenshots of the Project

Landing Page

Sample Extract

How to Run?

• Download the provided source code zip file.
• Extract the downloaded zip file.
• Open the html file and you are now ready to go!

Video Demonstration for Installation/Setup:

Conclusion:

In conclusion, this Text Extractor from Image demonstrates how modern web technologies can deliver a powerful yet simple solution for digitizing text from images. By combining elegant design with efficient OCR capabilities, it provides users with a fast, private, and user-friendly way to convert image-based text into editable content.

That's it! I hope this "Text Extractor from Image Using HTML, CSS and JavaScript" will assist you on your  programming journey, providing value to your current and upcoming project