Differential privacy (DP) has emerged as a promising approach for protecting users’ data in the era of big data and machine learning. Despite its deployment by governments and organizations, the concept of DP remains difficult for non-technical users to comprehend. Visual aids, such as infographics, have the potential to bridge this knowledge gap and enable users to make informed data-sharing decisions. In this paper, we propose to use carefully designed infographics to explain differential privacy and compare their effectiveness with traditional text descriptions. We conducted a vignette survey study with 367 participants on Prolific and found that our static and dynamic infographic designs improved participants’ understanding of DP, including its mechanism and implication compared with text descriptions. Our infographics also enhance users’ understanding of DP and assist them in sharing their highly sensitive information whether the privacy budget ϵ is exposed. This research contributes to the growing body of literature on designing effective differential privacy descriptions to communicate DP to laypeople to facilitate their data-sharing decisions.