<p>Malabar Tamarind (<i>Garcinia cambogia</i>), Indian spice belonging to non-timber forest produce, finds an important place in many culinary dishes. But commercial exploration is lacking due to the unavailability of processing equipment. Mass modeling can help to understand spatial relationship between mass and physical characteristics of fruit for designing post-harvest processing equipment. Hence the study focuses on mass modeling and physical characterization of Malabar Tamarind. Around 200 fruits were harvested and analyzed for mass and physical properties. The mean mass of the fruit was found to be 103.93&#xa0;g with mean dimensional measurements of 61.71, 58.63, and 50.63&#xa0;mm as long, short, and transverse dimensional measurements correspondingly. Mean diameters (arithmetic, geometric and equivalent), surface area, criteria projected areas, volumes (probate, oblate, and spheroid volumes) were also determined. Based on the above properties, mass models were developed. With the lowest standard error of 0.02 and highest R² value of 0.99, the power model was determined to be the most significant model across all properties. The correlation coefficient was found to be between 0.99 and 1.00. It was concluded that power models provide the most optimal fit between mass and dimensional characteristics of the fruit and can be utilized to design post-harvest machinery.</p>