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A Django-powered web application for quick and easy text transformations. Features include punctuation removal, UPPERCASE conversion, line break elimination, extra space cleanup, and letter frequency analysis.

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🌟 TextUtils 🌟

A powerful and simple text transformation web application built with Django.


✨ Features

🎯 Text Transformations:

  • Remove Punctuations: Easily clean your text by removing punctuation marks.
  • Convert to UPPERCASE: Transform your text into uppercase effortlessly.
  • Remove New Lines: Eliminate unwanted line breaks for a cleaner layout.
  • Remove Extra Spaces: Say goodbye to redundant whitespaces.
  • Count Frequency of Letters: Analyze the frequency of each letter in your text.

🚀 Getting Started

Follow these simple steps to set up TextUtils on your local machine.

  1. Clone the Repository

    Start by cloning the project to your local machine:

    git clone https://github.com/USMAN-FAIZYAB-KHAN/TextUtils.git
    cd TextUtils
  2. Install Django

    Use pip to install Django if not already installed:

    pip install django
  3. Run the Development Server

    Start the application with the following command:

    python manage.py runserver
  4. Access the Application

    Open your browser and navigate to:

    http://127.0.0.1:8000
    

📦 Dependencies

The project is built with the following dependency:

  • Django: Backend framework.

📸 Screenshots

Home Page Screenshot

🔤 UPPERCASE Transformation

Easily transform your text to UPPERCASE.

  • Input Text:

    UPPERCASE Result Screenshot

  • Result:

    UPPERCASE Input Screenshot


💡 Usage

  1. Enter your text into the input field on the homepage.
  2. Select the transformation options you want to apply:
    • Remove Punctuations
    • Convert to UPPERCASE
    • Remove New Lines
    • Remove Extra Spaces
    • Count Frequency of Letters
  3. Click Analyze to see the results instantly!

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A Django-powered web application for quick and easy text transformations. Features include punctuation removal, UPPERCASE conversion, line break elimination, extra space cleanup, and letter frequency analysis.

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