Generative artificial intelligence-based framework for training a machine learning model

A method, comprising:

• obtaining, by a computer system, an image of a sample document;
• generating, by the computer system and based on analyzing a plurality of elements within the sample document, a mask that specifies a plurality of areas within the sample document that corresponds to the plurality of elements, wherein each element in the plurality of elements comprises a corresponding content;
• and
• generating, by the computer system and using a generative artificial intelligence (AI) model, a first modified document based on the sample document and the mask, wherein the generating the first modified document comprises instructing the generative AI model to (i) remove a first content associated with a first element in the plurality of elements from the sample document based on the mask and (ii) insert a first synthetic content into a first area within the sample document corresponding to the first element.

A non-transitory machine-readable medium having stored thereon machine-readable instructions executable to cause a machine to perform operations comprising:

• accessing an image of a sample document;
• generating, based on analyzing the sample document, a mask, based on a type of the sample document, that specifies a plurality of areas within the sample document that corresponds to the plurality of contents;
• and
• generating, using a generative artificial intelligence (AI) model, a first modified document based on the sample document and the mask, wherein the generating the first modified document comprises instructing the generative AI model to (i) remove a first content of the plurality of contents from the sample document based on the mask and (ii) insert a first synthetic content into a first area of the plurality of areas within the sample document corresponding to the first content.