Automatically generating labeled synthetic documents

A system comprising:

• one or more memory devices storing a neural network;
• and
• at least one server configured to cause the system to:
• determine layout parameters;
• generate, utilizing the neural network, a plurality of new image layouts comprising images of documents indicating structures of page elements within the documents conforming to the layout parameters;
• generate a plurality of digital documents corresponding to the plurality of new image layouts, each digital document of the plurality of digital documents comprising page elements corresponding to the structures of page elements in a corresponding new image layout;
• determine content parameters for synthetic content corresponding to the page elements;
• generate the synthetic content corresponding to the page elements, wherein the synthetic content conforms to the content parameters;
• and
• generate a plurality of synthetic documents by inserting the synthetic content into the corresponding page elements of the plurality of digital documents.

In a digital medium environment for training machine learning models using training documents, a computer-implemented method for generating synthetic documents with element labels comprising:

• performing a step for generating a plurality of new image layouts conforming to layout parameters;
• performing a step for generating synthetic content conforming to content parameters;
• and
• generating a plurality of synthetic documents comprising the plurality of new image layouts comprising the synthetic content.