PixelHue is a simple Streamlit web app that extracts a color palette from any uploaded image using K-Means clustering.
It helps designers, developers, and anyone interested in color to quickly generate a set of colors from their images.

• Upload images in various formats (JPG, PNG, JPEG, BMP, GIF, WEBP).
• Extract a customizable number of colors.
• Visualize the palette as color swatches with hex codes.
• Uses K-Means clustering for accurate color extraction.

1. Clone the repository:

   git clone https://github.com/j-ncel/PixelHue.git
   cd pixel-hue

2. Install dependencies:

   pip install requirements.txt

   or

   pip install streamlit pillow scikit-learn numpy

streamlit run main.py

Open the provided local URL in your browser to use PixelHue.

1. Click Browse files or drag a picture to select an image file.
2. View the extracted palette and copy the hex codes as needed.
3. Adjust the "Number of Colors" if you want to set how many colors you want in your palette.

pixel-hue/
├── main.py
├── palette_extractor.py
├── koala.png
├── requirements.txt
├── README.md

• main.py — Streamlit app UI and logic.
• palette_extractor.py — Color extraction logic.
• koala.png — Default image

Pixel Hue on Playstore. The idea was remade to Android Flutter app. You can try it here:

• Koala sample picture (Image by André Santana Design André Santana from Pixabay)
• Built with Streamlit.