What’s new in Version 1.1 This updated version introduces several significant improvements: A more accurate color analysis algorithm, aligned with the ColorChecker® Classic standard, enhancing the precision of colorimetric assessments. A reset function in the image processing module for easier data collection workflow. The Region of Interest (ROI) selector (circle or square) can now be freely moved across the entire image area. An improved and more user-friendly Instructions section, making it easier for users to learn and apply the app’s functionalities. DiColorimetry is a scientific Android application developed for performing digital image-based colorimetric analysis using smartphone cameras. It offers an accessible and cost-effective alternative to conventional spectrophotometric techniques by extracting and analysing color intensity values (e.g., RGB, HSV) to generate quantitative analytical data. The application was developed within the context of vegetable oil research, including the determination of total phenolic content, radical scavenging activity, color number, and fluorescence analysis. However, DiColorimetry is not limited to this field—it is also suitable for the analysis of a wide range of other sample matrices within the chemical, food, and environmental sciences. To support scientific exploration and the development of custom methodologies, the app includes a dedicated colorimetric camera mode, enabling users to obtain live digital color values (RGB or HSV) from selected image regions in real time. This functionality is particularly valuable for researchers involved in the design and validation of new experimental protocols. Key features include: Live camera-based RGB/HSV extraction Region of interest (ROI) selection using circular or square shapes Creation of calibration curves manually or from image-derived data Absorbance calculations based on the Beer–Lambert law Integrated linear regression analysis with slope, intercept, and R² value Export of analytical results in CSV format DiColorimetry serves as a versatile tool for chemists, food scientists, environmental researchers, and educators aiming to develop, validate, or teach digital image-based analytical techniques. If your research requires additional color system modules beyond the currently supported RGB and HSV formats, we encourage you to contact our research team. Custom extensions and collaborative opportunities are welcomed.