Abstract: Therapeutic antibodies have become the integral component of the global biopharmaceutical industry. The selection or design of highly humanized antibodies from a vast pool of non-human antibodies to reduce their immunogenicity has emerged as the prominent research focus in the field of antibody drug development. This area of study, encompassing experience, experiments, and calculation methods, is collectively referred to as antibody humanization technology. It has been demonstrated that enhancing the human-like characteristics of an antibody can effectively diminish its immunogenicity while preserving its specificity, affinity, and stability. The computational approach for antibody humanization primarily involves designing humanized antibodies and calculating and evaluating their degree of humanness. Currently, numerous computational tools have been proved the effective for both antibody humanization and evaluation purposes. This review comprehensively summarizes the theoretical foundation underlying antibody humanization along with the development of associated computational methodologies while discussing recent advancements in this domain.