FileMorph - File Conversion and OCR Tool

Live Demo: https://file-morph-six.vercel.app/
Repository: https://github.com/AbdulAHAD968/FILE-MORPH

FileMorph is a versatile web application that combines OCR (Optical Character Recognition) and file conversion capabilities in one convenient interface. Extract text from images or convert files between popular formats with ease.

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Features

OCR Functionality

• Extract text from uploaded images
• Support for cloud images via URL
• Paste images directly from clipboard
• Multi-language support:
  English, French, Spanish, German, Chinese, Hindi, Arabic
• Download or copy extracted text

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File Conversion

• Convert between popular document formats
• Supported formats:
  • Word (DOCX)
  • PowerPoint (PPTX)
  • PDF
  • Plain Text (TXT)
• Simple drag-and-drop interface

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Technologies Used

• Frontend: React.js
• OCR: Tesseract.js
• File Conversion: Mammoth.js, other conversion libraries
• UI: Font Awesome icons, custom CSS
• Build: Create React App (or preferred build tool)

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Installation

To run FileMorph locally:

git clone https://github.com/AbdulAHAD968/FILE-MORPH.git
cd filemorph
npm install
npm start

Then open your browser and visit:

http://localhost:3000

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Usage

OCR Tab

• Upload an image file or paste from clipboard
• Select the language of the text
• Click Extract Text
• Copy or download the extracted text

Convert Tab

• Upload the file you want to convert
• Select the target format
• Click Convert
• Download the converted file

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Project Structure

filemorph/
├── dist/
├── public/
├── src/
│   ├── components/
│   │   ├── FileConverter.jsx   # File conversion logic
│   │   ├── FileMorph.jsx       # Main application container
│   │   └── OCR.jsx             # OCR functionality
|   |   ├── OtherFiles
│   ├── App.js
│   ├── index.js
│   └── OCR.css                # Styles for the application
├── README.md
├── LICENSE
├── index.html

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Contributing

1. Contributions are welcome! Follow these steps:
2. Fork the project
3. Create your feature branch:

git checkout -b feature/AmazingFeature

4. Commit your changes:

git commit -m 'Add some amazing feature'

5. Push to the branch:

git push origin feature/AmazingFeature

6. Open a Pull Request

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Future Enhancements

1. Add more file conversion formats
2. Implement batch processing
3. Add image preprocessing for better OCR accuracy
4. Support for handwritten text recognition
5. Dark mode support

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License

This project is licensed under the MIT License. See the LICENSE file for details.

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Acknowledgments

• Tesseract.js – OCR engine
• Font Awesome – Icons
• React – Frontend framework
• iLovePDF – For file conversion inspiration and API_KEY as well.