What is AI Image Colorization?
TL;DR
Technology in which AI adds plausible color to black-and-white photos and images by predicting likely colors from learned patterns.
AI Image Colorization: Definition & Explanation
AI image colorization is a technology in which a machine-learning model adds color to black-and-white or grayscale photographs by predicting which colors most plausibly belong to each region of the image. Trained on large datasets of color photographs paired with their grayscale versions, the model learns associations — skin tones, skies, foliage, common clothing colors — and applies them to a new monochrome input. Tools such as Palette.fm, MyHeritage, Hotpot, and many photo editors offer colorization, sometimes with controls to adjust the palette or style. It is widely used to bring old family photos and historical images to life, making them feel more immediate and relatable. The critical limitation is that the colors are estimates, not historical fact: the model guesses based on statistical patterns, so a dress, uniform, sign, or sky may be rendered in a color that is plausible but simply wrong. AI colorization should therefore never be treated as documentary evidence of how a subject actually appeared, and originals should always be preserved.