🎨 Image Color Palette Extractor

A simple web-based tool to extract the dominant colors from an uploaded image file. It analyzes the image using HTML Canvas and displays a palette of the most prominent colors found. ✨

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✨ Features

• 🖼️ Image Upload: Select JPG, PNG, GIF, etc., from your device.
• 👁️ Image Preview: See a small preview of your uploaded image.
• 🎨 Dominant Color Extraction: Analyzes pixels to find the most frequent color groups using a binning technique.
• 🌈 Palette Display: Shows extracted colors as visual swatches.
• #️⃣ HEX Code Display: Provides the hexadecimal code for each color.
• 🖱️ Click-to-Copy: Easily copy HEX codes by clicking the swatches.
• 📱 Responsive Design: Adapts to different screen sizes.
• ⏳ Loading Indicator: Shows visual feedback during processing.
• 💬 User Feedback: Displays success or error messages.

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🚀 How to Use

1. Clone this repository or download the files.
2. Open the index.html file in your web browser.
3. Click the "Choose Image File" button and select your image.
4. A preview and filename will appear.
5. Click the "Extract Colors" button.
6. Wait for the ⏳ analysis.
7. The dominant colors 🎨 will appear below.
8. Click any color swatch to copy its HEX code! ✨

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💻 Technology Stack

• HTML: Page structure.
• CSS (Tailwind CSS): Styling & layout (via CDN).
• JavaScript: File handling, image preview, canvas manipulation, color analysis, DOM updates, user interactions.
• HTML Canvas API: Used to draw the image and access pixel data.

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🤝 Contributing

Contributions are welcome! 🎉 Whether it's bug fixes, feature additions, or documentation improvements, please feel free to contribute.

How to Contribute:

1. Fork the Repository: Click the 'Fork' button at the top right of the repository page.
2. Clone Your Fork
3. Create a New Branch: Create a descriptive branch name for your changes.

   git checkout -b feature/your-awesome-feature
   # or
   git checkout -b fix/issue-description

4. Make Your Changes: Implement your feature or fix the bug.
5. Test Your Changes: Ensure your changes work as expected and don't break existing functionality.
6. Commit Your Changes: Write clear and concise commit messages.

   git add .
   git commit -m "feat: Add awesome new feature"
   # or
   git commit -m "fix: Resolve issue with color calculation"

   (Consider using Conventional Commits for commit messages).
7. Push to Your Fork:

   git push origin feature/your-awesome-feature

8. Open a Pull Request (PR): Go to the original repository on GitHub and open a Pull Request from your forked branch to the main branch of the original repository.
   • Provide a clear title and description for your PR.
   • Reference any related issues (e.g., "Closes #123").

Reporting Bugs:

• Use the GitHub Issues tab.
• Provide a clear title and description.
• Include steps to reproduce the bug.
• Mention your browser and operating system if relevant.

Suggesting Enhancements:

• Use the GitHub Issues tab.
• Provide a clear title and detailed description of the proposed enhancement and its potential benefits.

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💡 Potential Enhancements

• Advanced Algorithms: Implement k-means clustering or Median Cut for color quantization.
• Palette Size: Allow users to select the number of colors (e.g., 4, 8, 16).
• Color Formats: Add options to copy RGB or HSL values.
• Background Removal: Option to ignore large background areas.
• Drag & Drop: Implement drag-and-drop image uploads.
• Performance: Optimize JS, potentially using Web Workers.

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Happy Coding! 💻