This article presents methods for the sonification of photographic ocean data (turning the visual properties of the ocean into sound). Ocean sonification is typically based on underwater acoustic data (Hendrickx et al., 2024) or other quantitative measurements, whereas this article presents an approach using qualitative data: taking images of marine environments and applying different computational algorithms that convert the visual data from the image into an audio wave. This work compares two methods of generating sound on the basis of their efficacy and practicality as methods for exploring, interpreting, and presenting ocean data. Practical applications could include expanding access for people with visual impairments, proposing an alternative and intuitive way to sense and interpret the ocean. Since data is often presented in a visual form (as images, tables, or graphs), people with low or no vision have limited access to information crucial for conservation and reconstruction debates (Santoro et al., 2017; Smith et al., 2023). Being able to interpret ocean conditions from the surface alone, and translating the surface geometry into sound, could prove a useful tool in environmental analysis. Sonification has already been used to understand complex environmental data, including climate change indicators, biodiversity loss, air pollution, weather patterns, and geophysical processes, allowing researchers to detect anomalies and patterns in data which may otherwise have been invisible when presented in other forms. This article contributes to existing research by introducing a novel approach to ocean sonification methods, exploring its potential for enhancing accessibility and environmental analysis.