/OCR-App

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OCR Mac App User Manual

Introduction

The OCR Mac App is an elegant application that allows users to extract text from images using Optical Character Recognition (OCR) technology. The app is designed to have a similar style to macOS and provides a feature-rich yet simple user experience. The design and code of the app have been influenced by existing code on GitHub.

Installation

To use the OCR Mac App, you need to install the necessary dependencies. Follow the steps below to install the required dependencies:

  1. Open a terminal window.

  2. Navigate to the directory where the app code is located.

  3. Run the following command to install the dependencies:

    pip install -r requirements.txt

    This command will install all the required dependencies specified in the requirements.txt file.

Using the OCR Mac App

Once you have installed the dependencies, you can start using the OCR Mac App. Follow the steps below to use the app:

  1. Open a terminal window.

  2. Navigate to the directory where the app code is located.

  3. Run the following command to start the app:

    python main.py

    This command will launch the OCR Mac App.

  4. The app window will appear with the title "OCR Mac App".

  5. Click the "Select Image" button to choose an image file for OCR.

  6. A file dialog will open, allowing you to browse and select an image file (supported formats: PNG, JPG, JPEG).

  7. After selecting the image file, the file path will be displayed below the "Select Image" button.

  8. Click the "OCR" button to perform OCR on the selected image.

  9. The app will process the image using OCR and extract the text.

  10. The extracted text will be displayed below the "OCR" button.

Conclusion

The OCR Mac App provides a convenient way to extract text from images using OCR technology. With its elegant design and feature-rich functionality, it offers a user-friendly experience. By following the installation and usage instructions provided in this manual, you can easily use the app to convert images into text files.