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Hemdar is a simple Optical Character Recognition (OCR) tool that allows users to extract text from their images. It uses Tesseract.js library and works entirely in the web browser. Simply upload your image file and let Hemdar do the rest! The project is open source and available on Github.

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Hemdar

Hemdar is a simple OCR tool that extracts text from images using Tesseract.js. It works entirely in your web browser, so you don't need to install any software or upload your images to a third-party service. Simply select your image file, and Hemdar will do the rest.

Features

  • Extract text from JPEG, PNG, and GIF images
  • Fast and accurate OCR using Tesseract.js
  • Works entirely in your web browser
  • Easy to use interface

Getting Started

To use Hemdar, simply clone the repository or download the ZIP file, and then open the index.html file in your web browser. You will need an internet connection to load the Tesseract.js library.

Usage

  1. Click the "Choose an Image File" button and select an image file from your computer.
  2. Hemdar will display a progress bar while it processes your image file.
  3. Once the processing is complete, the text extracted from your image will be displayed in the "Image Text" area.
  4. You can copy the extracted text to your clipboard by clicking the "Copy" button.

Contributing

Contributions are welcome! If you find a bug or have an idea for a new feature, please submit an issue or pull request on GitHub.

Credits

Hemdar was created by Rishik Reddy in December 2022. It is powered by Tesseract.js.

License

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

About

Hemdar is a simple Optical Character Recognition (OCR) tool that allows users to extract text from their images. It uses Tesseract.js library and works entirely in the web browser. Simply upload your image file and let Hemdar do the rest! The project is open source and available on Github.

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