Lowercase Text Formatter

You know that meme about guys that type in all lowercase? Well this Python application does just that. It has a GUI for formatting text to lowercase while intelligently preserving capitalization for proper nouns, the pronoun "I", and other contextually appropriate elements. Works in two modes: an advanced NLP mode powered by spaCy for enhanced entity recognition, or a basic mode using regular expressions for simpler processing. Built using CustomTkinter for a cool interface

Features

• Converts text to lowercase while maintaining capitalization for proper nouns, entities, and specific words like "I"
• Dual Processing Modes:
  • NLP Mode: Utilizes spaCy for accurate part-of-speech tagging and entity detection (requires spaCy installation)
  • Basic Mode: Falls back to rule-based processing with regular expressions if spaCy is unavailable
• Retains leading whitespace and line structures from the input text
• Displays word and character counts for the formatted output
• Allows easy copying of the processed text to the clipboard

Requirements

• Python 3.8 or higher
• Required libraries:
  • customtkinter: For the GUI framework
  • re: Standard library for regular expressions (included in Python)
• Optional libraries:
  • spacy: For NLP mode. Install the English model with python -m spacy download en_core_web_sm
• No additional internet access or API keys are required

Installation

1. Clone the repository:

   git clone https://github.com/foilem0/lowercase-text-formatter.git
   cd lowercase-text-formatter
   

2. Install the required dependencies:

   pip install customtkinter
   

3. (Optional) For NLP mode, install spaCy and the language model:

   pip install spacy
   python -m spacy download en_core_web_sm
   

Usage

Run the application:

   lowercase text formatter.py

The status indicator in the header will show "NLP ACTIVE" if spaCy is available, or "BASIC MODE" otherwise

Limitations

• NLP mode requires additional installation and may increase processing time for large texts
• Basic mode may not handle complex entity recognition as accurately as NLP mode
• The application is designed for English text; support for other languages would require spaCy model adjustments

Acknowledgments

• Built with CustomTkinter for the GUI
• Powered by spaCy for natural language processing (optional)