🛡️ AI DeWatermarker

Real-time detection and removal of AI watermarks, invisible Unicode, and text obfuscation

Features • How It Works • Installation • Usage • Tech Stack • Contributing

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📋 Overview

AI DeWatermarker is a free, open-source tool that detects and removes hidden AI watermarks and text obfuscation from text content. All processing happens locally in your browser - ensuring complete privacy and security. Just visit to use: https://ai-de-watermarker.vercel.app/.

✨ Features

🔍 Comprehensive Detection

• Zero-Width Characters: Detects invisible tracking characters like Zero Width Space (U+200B), Zero Width Non-Joiner, and more
• Invisible Characters: Finds hidden Unicode like soft hyphens, combining grapheme joiners, and variation selectors
• Homoglyphs: Identifies look-alike characters from different scripts (Cyrillic, Greek, Latin)
• Bidirectional Marks: Detects direction control characters used for text obfuscation
• Suspicious Punctuation: Identifies non-standard quotes, dashes, and ellipsis
• Special Spaces: Finds non-breaking spaces, em spaces, and other unusual whitespace
• Mixed Scripts: Detects mixing of different writing systems
• Control Characters: Identifies C0/C1 control codes and tag characters

🎯 Advanced Analysis

• Noise Score: Calculates the percentage of suspicious characters in your text
• Real-time Highlighting: Visual indicators show exactly where issues are detected
• Line Density Analysis: Identifies heavily obfuscated sections
• Pattern Detection: Finds repeating invisible character sequences and unmatched bidi pairs
• Encoded Data Detection: Identifies potential Base64 or hex-encoded watermarks

🧹 Intelligent Cleaning

• Unicode Normalization: Converts text to NFC (Normal Form Composed)
• Homoglyph Replacement: Replaces look-alike characters with standard equivalents
• Whitespace Normalization: Collapses multiple spaces and standardizes line endings
• Control Character Removal: Strips out harmful control codes
• Punctuation Standardization: Converts fancy quotes and dashes to ASCII equivalents

🔒 Privacy-First

• 100% Client-Side: All processing happens in your browser
• No Data Collection: Your text never leaves your device
• No Server Calls: Works completely offline after initial load
• Open Source: Fully transparent and auditable code

🚀 How It Works

1. Paste or type your suspicious text into the input area
2. Real-time analysis detects all types of watermarks and obfuscation
3. Visual highlights show exactly where issues are found
4. Detailed report breaks down each type of detection
5. Clean output provides sanitized text ready to copy

💻 Installation

Prerequisites

• Node.js 18+ and npm/yarn/pnpm

Steps

# Clone the repository
git clone https://github.com/maruf009sultan/AI-DeWatermarker.git

# Navigate to the project directory
cd AI-DeWatermarker

# Install dependencies
npm install

# Start the development server
npm run dev

# Build for production
npm run build

🎮 Usage

Basic Usage

1. Open the application in your browser
2. Paste text into the "Suspicious Text" area
3. View the real-time detection report on the right
4. Copy the cleaned text from the "Cleaned Output" section

Understanding the Detection Report

• Noise Score: Higher percentages indicate more obfuscation

  • 0-5%: Clean or minimal obfuscation
  • 5-10%: Moderate watermark presence
  • 10%+: High suspicion of AI watermarking

• Color Coding:

  • 🔴 Red: Invisible characters and bidi marks
  • 🟡 Amber: Homoglyphs
  • 🔵 Blue: Suspicious punctuation
  • 🟣 Purple: Special spaces

🛠️ Tech Stack

• Frontend Framework: React 18.3.1 with TypeScript
• Build Tool: Vite 5.4.19
• UI Components: shadcn/ui (Radix UI primitives)
• Styling: Tailwind CSS with custom animations
• State Management: React Query (TanStack Query)
• Routing: React Router DOM
• Form Handling: React Hook Form with Zod validation
• Icons: Lucide React
• Notifications: Sonner

📁 Project Structure

AI-DeWatermarker/
├── src/
│   ├── components/      # Reusable UI components
│   ├── pages/          # Page components
│   ├── utils/          # Detection and cleaning utilities
│   ├── lib/            # Library configurations
│   └── hooks/          # Custom React hooks
├── public/             # Static assets
└── index.html          # Entry HTML file

🧪 Detection Examples

Zero-Width Characters

Invisible tracking characters embedded between words or letters to create unique fingerprints.

Homoglyphs

Using Cyrillic 'а' (U+0430) instead of Latin 'a' (U+0061) to create visually identical but technically different text.

Bidirectional Marks

RTL/LTR override characters that can hide or obfuscate text content.

🤝 Contributing

Contributions are welcome! Here's how you can help:

1. Fork the repository
2. Create a feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

Development Guidelines

• Follow the existing code style
• Write clear commit messages
• Add tests for new features
• Update documentation as needed

📜 License

This project is licensed under the GNU General Public License v3.0 - see the LICENSE file for details.

🌟 Why AI DeWatermarker?

• Educational: Learn about Unicode obfuscation techniques
• Practical: Clean text from AI-generated content
• Transparent: Open-source and community-driven
• Fast: Real-time processing with no server delays
• Comprehensive: Detects 14+ types of obfuscation patterns

🔗 Links

• Report a Bug
• Request a Feature
• Contribute

💖 Acknowledgments

Made with ❤️ for the open-source community. Special thanks to all contributors and users who make this project better.

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If you find this project useful, please consider giving it a ⭐ on GitHub!

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