The invention provides an automatic recognizing method and system for ultrasonic radiofrequency metadata. The method comprises the following steps: acquiring ultrasonic echo signals, and synthesizing the ultrasonic echo signals into ultrasonic radiofrequency metadata signals; directly carrying out Hilbert unwrapping on the ultrasonic radiofrequency metadata signals to generate demodulated signals; selecting an area-of-interest, extracting feature signals of the demodulated signals in the area-of-interest, and carrying out feature description; inputting the feature signals as input vectors to at least two different classifiers to obtain respective AUC results; selecting one of the classifiers through the AUC result; and setting the recognition result as the final recognition result. Extracted features cover strength, texture and fractal, and features of characterization images can be represented comprehensively; and furthermore, a plurality of classifiers are adopted, the optimal classifier is used, and therefore, the boundedness of the classifiers is overcome.