The present study aimed to investigate the drying models of salted silver jewfish in solar drying systems. A nonlinear regression method was used to fit different drying models, among which Page’s model showed a better fit compared with Newton’s and Henderson and Pabis’s models. Findings indicated that Page’s model is the best drying model for use in precisely predicting the drying behaviour of salted silver jewfish; ityielded the highest value of R2(0.9596) and the lowest mean bias error (0.0026) and root mean square error (0.0509). At the average drying temperature of 44 °C and relative air humidity of 28%, a 26 h drying time was required to reduce the moisture content of salted silver jewfish from 63.24% to 10%