A fast and convenient soil analytical technique is needed for soil quality assessment and precision soil management. The main objective of this study was to evaluate the ability of Visible (Vis) and Near-infrared Reflectance Spectroscopy (NIRS) to predict paddy soil physical properties in a typical Malaysian paddy field. To assess the utility of spectroscopy for soil physical characteristics prediction, we used 118 soil samples for laboratory analysis and optical measurement in the Vis-NIR region using ASD FieldSpec spectroradiometer (350-2500 nm). Savitzky-Golay algorithm and Stepwise Multiple Linear Regression (SMLR) were then applied to preprocess, model and predict the properties on the basis of its spectral reflectance within the Vis-NIR range. One-third of the total samples (40 samples) from different places were withheld for validation purpose. The study revealed that the Vis and NIR spectroscopy calibration models for all the measured soil physical characteristics indicated that Vis and NIR (specifically NIR reflectance) can be considered as a good tool to assess soil physical characteristics in Malaysian paddy fields. NIRS also has the potential of the modelling and prediction of soil information. The results of this study could be a significant contribution to develop the site-specific management decision and sustainable agriculture.