TextFlow AI-Text Humanizer

Link: https://textflow.streamlit.app

Transform AI-generated text into natural, human-like writing with Python (backend) and Streamlit (frontend).
This project uses NLP techniques to refine raw machine-written content, making it more authentic and reader-friendly.

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✨ Features

• ✅ Apply contractions, fillers, colloquialisms, and typo simulation
• 🎭 Multiple tone adjustments (casual, friendly, professional, academic, conversational)
• 📝 Custom word replacements for personalized transformation
• 📊 Real-time text transformation metrics (characters, words, sentences, transformations)
• ⬇️ Download the humanized text instantly

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🔧 Tech Stack

• Backend: Python, NLTK, Regex
• Frontend: Streamlit
• NLP: Sentence tokenization, word replacement, text transformation

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🎯 Use Cases

• Humanize AI-generated text for blogs, articles, and reports
• Enhance readability of machine-written content
• Automate content refinement for writers and developers
• Showcase Python, NLP, and Streamlit skills

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🚀 Installation

Install dependencies:

pip install -r requirements.txt

Run the app:

streamlit run main.py

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📂 Project Structure

TextFlow AI-text Humanizer/
│── app.py               # Main Streamlit application
│── requirements.txt     # Python dependencies
│── README.md            # Documentation

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🤝 Contributing

Contributions are welcome! Feel free to open issues or submit pull requests to improve the project.

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📜 License

This project is licensed under the MIT License – see the LICENSE file for details.

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Do you want me to also prepare the **`requirements.txt` file** content for your project so it’s ready to run when someone clones it?