Abstract: This paper gave a new method about detecting the theaflavin,thearubigins,tea brown contents of Congou black tea by near infrared spectroscopy.There were 240 test samples,180 samples of them were used to be a correction stage as the remaining 60 samples a prediction set.The best waves of the number of segments and best pretreatment method for model inguse of the model were optimized to establish the quantitative prediction model by OPUS 7.0 software.The Smooth points were 17 and dimension was 1.Combined with theaflavin,thearubigins,tea brown contents prediction model,the performance prediction model was analyzed and forecasted.The model predicted a high accuracy which can be used to predict thetheaflavin,thearubigins,tea brown contents of Congou black tea.The calibration correlation coefficient( Rc) was 91.41% ~ 99.73%,correcting root mean square error(RMSEC) was 0.0796~0.2320,predictive correlation coefficient( Rp) was 91.41% ~ 99.73%,and the RMSEP was0.0362 ~ 0.0762. Each model calibration set and prediction set had a higher degree of fit,the order of the effect of prediction performance model was TFs > TRs > TB.The combination of near-infrared spectra of each prediction model to predict the performance had an excellent organoleptic results which established for theaflavin,thearubigins,tea brown contents rapid nondestructive testing of Congou black tea.