The system uses a Convolution Neural Network (CNN) to transfer a grayscale image and user cues (chosen colors) to an output colorization.The main goal of this study is to colorize historic photos that are solely in black and white utilizing convolutional neural network concepts in a photo.txt file to build our desired model. Colorization is a time-consuming, sluggish, and expensive procedure that demands significant user participation. An effective deep learning-based image colorization method was provided in the paper. So, in this research, we constructed a model to automatically colorize grayscale photos using the CNN technique in Deep Learning. The objective of picture colorization is to add color to a monochromatic input picture to produce a colorful outcome, which is a classic and essential topic in computer graphics. We discuss the methodology of colorization, colorization previous work, and literature surveyin this review paper.