I want to create a system that translates sentences into images. Every sentence has a different structure, so I want to build a visual coding system that transforms different characteristics of a sentence into shapes, colors, sizes, transparency, and lines. In this way, each sentence generates a different image while following the same set of coding rules.
When different variables change, the generated images change accordingly. Word length and number affect the size and quantity of the shapes, thereby influencing the image’s proportions, density, and visual complexity. The proportion of vowels controls the transparency of the shapes, affecting the overall visual depth; meanwhile, the first letter of each word determines the shape’s color, allowing different words to be visually distinguished. I believe word length, the number of words, and the first letter are the more important variables because they determine the image’s primary visual characteristics, whereas transparency and line style are relatively secondary. Although different sentences produce completely different images, the encoding rules remain constant, so the overall visual system remains recognizable.