Channel Splitter - Free Online | ToolXHub

After uploading an image, the tool automatically separates the three gray images of the red channel, green channel, and blue channel from the Alpha channel (if the original image has transparency). Each channel plot displays the brightness distribution for that color component, with white indicating the high value for that channel and black indicating the low value for that channel.

Channel separation reads pixel data through Canvas 'getImage Data, then extracts four components of R, G, B and A respectively, and converts each component into a grayscale image. Processing is done completely locally in the browser and no files are uploaded.

Suitable for image analysis, channel mixing special effects production, or understanding the composition principle of digital images. It is also used for color separation and plate making in the printing industry.

The Picture Channel Separation tool separates the three color channels of an image (Ruby, green, and blue) into separate images, and can also view the Alpha transparency channel.