A rapid and nondestructive method for measuring internal browning of apple was put forward based on FT-NIR spectroscopy and the relationship between NIR spectroscopy nondestructive measurement and internal browning was developed. The NIR spectroscopies were acquired from 512 apples. Cluster analysis algorithm based on Euclidean distance was applied to selection of representative samples. The multivariable analysis concluding partial least squares (PLS) and multiple linear regression (MLR) were applied to build the regression models. The excellent model with high R2 (0.871) was obtained by PLS based on 3 wavelength ranges (950–1440 nm, 1480–1890 nm, 1960–2300 nm) and with multiplicative scatter correction (MSC) pretreatment. These suggest the model of apple internal browning was reliable with good predict ability and can meet the requirement to quick determination of internal browning of apples.