The invention discloses a method for rapidly predicting content of soil organic matters based on eleven spectrum wavelet coefficients. The method is characterized by comprising the following steps: (1) collecting a soil diffuse reflectance value (R) with the spectrum range of 400-2450nm at the wavelength interval of 1nm; (2) converting the soil diffuse reflectance value into a soil absorbance value through a formula of A=-log(R); (3) performing discrete wavelet transform on the soil absorbance value by selecting a sym7(Symlets7) wavelet base function, extracting scale-5 low-frequency wavelet coefficients, and obtaining 75 low-frequency wavelet coefficients; (4) compressing the 75 low-frequency wavelet coefficients by utilizing a successive projections algorithm, and extracting the 9th, 11th, 22nd, 27th, 35th, 39th, 48th, 61st, 64th, 65th and 67th characteristic wavelet coefficients, totaling eleven wavelet coefficients; and (5) substituting the eleven characteristic wavelet coefficients into a multiple linear regression calculation formula, and calculating to obtain the content of soil organic matters. The method can rapidly predict the content of soil organic matters and is suitable for development and utilization of portable test instruments.