Hearing Space-Time is an experimental art application that explores how artificial intelligence perceives space and transforms it into sound. Using machine vision, the app analyzes images to infer spatial depth and structure. These inferred spatial relationships are translated into sound, allowing users to interact with and listen to a non-human model of space. By touching different areas of an image, users activate sonic responses shaped by the machine’s interpretation rather than by visual representation alone. The app treats the mobile device as a perceptual instrument rather than a passive screen. Sound becomes a medium through which machine vision’s internal logic is revealed, inviting reflection on the relationship between human perception, algorithmic interpretation, and spatial understanding. Hearing Space-Time is designed as an artistic and exploratory experience. It does not aim to simulate reality, but to expose how artificial intelligence reconstructs and reorganizes the world through inference. AI-based image analysis using machine vision Interactive sound generation based on inferred spatial depth Touch-based exploration of image-derived sonic space A minimal, contemplative interface designed for artistic engagement