The surface damage and soluble solid content were detected simultaneously in online grading of yellow peach, and the damage level and soluble solid content are the important criteria for evaluating the quality of yellow peach. Hyperspectral imaging technology was used to detect the damage level and soluble solid content of yellow peach simultaneously. The principal component analysis was used to obtain the best PC image firstly. Then according to the contribution rate of characteristic wavelength to PC image, the best wavelength of the image (550 and 720 nm) was determined. In the last, the binaryzation, image masking, threshold segmentation and the related image processing technology were combined to qualitatively discriminate the spectral images corresponding to the best characteristic wavelength. Its accuracy was up to 92.9%. At the same time, partial least squares regression model was established to predict the SSC content of normal samples, and by the continuous optimization of the model, online simultaneous detection of yellow peach bruise and soluble solids based on the hyperspectral imaging technology was finally realized. The sorting accuracy of soluble solids was 79.2%. The experimental results show that the yellow peach bruise and SSC can be detected on-line simultaneously by using hyperspectral imaging technology. This research can provide references and basis for the online sorting.