This paper introduces the concept of input visualization, which refers to visual representations designed to collect and modify new data rather than encode preexisting datasets. Unlike traditional visualization, which focuses on revealing insights from existing data, input visualization emphasizes data input and modification. The authors analyze 50 examples of input visualizations from various domains, including research, journalism, art, personal projects, and commercial products. These examples are analyzed with respect to their visual representation, data, artifact, context, and input. The analysis reveals seven input modalities and seven input visualization purposes. The authors also identify design considerations for input visualizations, including visibility of prior input, scalability, readability, and data processing. The paper discusses the relationship between input visualization and traditional visualization design and suggests opportunities for future research to better understand these visual representations and their potential. The authors also highlight the potential of input visualizations as sensemaking tools and new design methods. The paper concludes with a discussion of the implications of input visualization for the information visualization community.This paper introduces the concept of input visualization, which refers to visual representations designed to collect and modify new data rather than encode preexisting datasets. Unlike traditional visualization, which focuses on revealing insights from existing data, input visualization emphasizes data input and modification. The authors analyze 50 examples of input visualizations from various domains, including research, journalism, art, personal projects, and commercial products. These examples are analyzed with respect to their visual representation, data, artifact, context, and input. The analysis reveals seven input modalities and seven input visualization purposes. The authors also identify design considerations for input visualizations, including visibility of prior input, scalability, readability, and data processing. The paper discusses the relationship between input visualization and traditional visualization design and suggests opportunities for future research to better understand these visual representations and their potential. The authors also highlight the potential of input visualizations as sensemaking tools and new design methods. The paper concludes with a discussion of the implications of input visualization for the information visualization community.