π¨ Color Channel Separator
Split images into Red (R), Green (G), Blue (B) independent channels. Supports grayscale and color display.
Click to upload image or drag and drop
Supports PNG, JPG, WebP, GIF, BMP
π Color Channel Separator
What are RGB color channels?
The RGB color model uses Red, Green, and Blue channels to represent colors. Each pixel color is determined by three channel values (0-255). For example, pure red is R=255,G=0,B=0, white is R=255,G=255,B=255, and black is R=0,G=0,B=0.
Core features of Color Channel Separator
- π΄ Red channel independent preview and download
- π’ Green channel independent preview and download
- π΅ Blue channel independent preview and download
- π¨ Color Mode: keep only the channel color, other channels are set to zero
- β¬ Grayscale Mode: show channel intensity as grayscale
- β¬οΈ Batch download all channel images
Color Channel Separator in 3 steps
- Upload image (click or drag)
- Select display mode (color/grayscale)
- View channel preview effects
- Download single channel or all channels
When to use Color Channel Separator
- π¨ Image analysis and debugging: understand each channel contribution
- πΌοΈ Image processing: adjust individual channels independently
- β¨ Effect creation: Glitch Art effects
- π§ Color correction: identify color cast issues
- π Teaching demo: understand RGB color model
π FAQ
What are RGB color channels?
The RGB color model uses Red, Green, and Blue channels to represent colors. Each pixel color is determined by three channel values (0-255). For example, pure red is R=255,G=0,B=0, white is R=255,G=255,B=255, and black is R=0,G=0,B=0.
What is the difference between Grayscale Mode and Color Mode?
In Grayscale Mode, each channel displays as a grayscale image where brightness represents channel intensity. In the red channel grayscale, bright areas indicate high red values, and dark areas indicate low red values. In Color Mode, each channel only retains its corresponding color with other channels set to 0, visually showing the color distribution in the image.
What are channel separation use cases?
Channel separation is commonly used for: 1) Image analysis and debugging to understand each channel contribution; 2) Image processing for independent channel adjustments; 3) Effect creation like Glitch Art; 4) Color correction to identify color cast; 5) Teaching demos to understand the RGB color model.
What image formats are supported?
Supports all browser-displayable image formats including PNG, JPG/JPEG, WebP, GIF, BMP, SVG, etc. Images are processed via the Canvas API in the browser and are never uploaded to a server.
Will my image be uploaded to a server?
No. All image processing is done locally in your browser using the Canvas API. Image data never leaves your device. You can download each channel image after processing.