Optical character recognition filtering

A non-transitory machine-readable medium having program code stored thereon, the program code comprising instructions to:

• determine labels for a plurality of training files comprising image data indicating whether image data for each of the plurality of training files comprises text based, at least in part, on corresponding feature values for optical recognition features;
• input the plurality of training files into a first component of a machine learning model;
• store representations of the plurality of training files output by the first component of the machine learning model in secure storage for training;
• discard the plurality of training files;
• and
• train a second component of the machine learning model on the stored representations of the plurality of training files and corresponding labels.

A method comprising:

• determining labels for a plurality of training files comprising image data indicating whether image data for each of the plurality of training files comprises text based, at least in part, on corresponding feature values for optical recognition features;
• inputting the plurality of training files into a first component of a machine learning model;
• storing representations of the plurality of training files output by the first component of the machine learning model in secure storage for training;
• discarding the plurality of training files;
• and
• training a second component of the machine learning model on the stored representations of the plurality of training files and corresponding labels.