Color Space is a mathematical model that defines the range and organization of colours that can be represented within a digital imaging system. Different colour spaces are designed for different purposes, from capturing images to displaying them on screens to preparing them for print, and each has its own gamut, or range of colours that fall within its boundaries.

The most commonly encountered colour spaces in digital content creation include sRGB, which is the standard for web content and consumer displays; Adobe RGB, which has a wider gamut useful for professional photography and print preparation; Rec. 709, the broadcast standard for HD video; and DCI-P3, used in digital cinema and increasingly supported by modern displays. When content is converted between colour spaces without proper management, colours can shift, saturate incorrectly, or clip, meaning they fall outside the target gamut and are replaced with the nearest in-bounds colour. Understanding colour space is essential for ensuring that content looks consistent across devices and platforms.

In AI image and video generation workflows, colour space considerations become particularly important when exporting content for specific delivery platforms or when integrating AI-generated assets into professional pipelines where colour accuracy is critical. Knowing which colour space the generation tool produces content in, and which colour space the final output requires, helps creators avoid unexpected colour shifts during handoff.