A user-friendly text correction tool powered by AI (T5 transformer) that fixes grammar and spelling mistakes in real-time. Features an easy-to-use GUI interface with instant corrections and clipboard support.

🔤 Auto Correct Tool

AI-Powered Grammar Correction Tool | Python | Machine Learning

Auto Correct Tool Demo

Auto Correct Tool

A Python-based text correction tool with GUI interface that uses the T5 transformer model for grammar correction. This tool helps users correct grammar and spelling mistakes in real-time using advanced machine learning.

Features

Real-time text correction using T5 transformer model
User-friendly GUI interface built with tkinter
Copy to clipboard functionality
Clear text option
Proper sentence capitalization
Error handling and user feedback
Multi-sentence support

Requirements

Python 3.x
happytransformer
tkinter (usually comes with Python)

Installation

Clone the repository:

git clone https://github.com/iamrealvinnu/autocorrect-tool.git
cd autocorrect-tool

Install required packages:

pip install happytransformer

Usage

Run the script:

python autoCorrect_tool.py

Using the tool:
- Enter or paste your text in the top text area
- Click "Correct Text" to process
- The corrected version will appear in the bottom text area
- Use "Copy Corrected Text" to copy to clipboard
- "Clear Text" removes all content from both areas

How It Works

The tool uses the T5 (Text-to-Text Transfer Transformer) model specifically trained for grammar correction. It:

Processes input text through the model
Applies proper capitalization
Handles multiple sentences appropriately
Provides immediate feedback for any errors

Contributing

Feel free to:

Report bugs
Suggest features
Submit pull requests

Author

Vinay Gupta (https://github.com/iamrealvinnu)

License

This project is open source and available under the MIT License.

Technical Implementation

Implemented using Python and T5 Transformer model
Built GUI using Tkinter for cross-platform compatibility
Integrated advanced NLP capabilities using happytransformer
Implemented error handling and user feedback system
Used object-oriented programming principles

Future Enhancements

Support for multiple languages
Advanced text formatting options
Cloud-based processing
API integration capabilities

Connect With Me

LinkedIn: https://www.linkedin.com/in/guptavinayc/ Portfolio: https://www.gupta-vinay-portfolio.netlify.app Email: [email protected]

Development Setup

# Clone the repository
git clone https://github.com/iamrealvinnu/autocorrect-tool.git

# Navigate to project directory
cd autocorrect-tool

# Install dependencies
pip install -r requirements.txt

# Run the application
python autoCorrect_tool.py

autocorrect-tool