Two-dimensional document processing

A system, comprising:

• a memory;
• and
• at least one processor coupled to the memory and configured to:
• perform optical character recognition on a document;
• generate a character grid using character information obtained from the optical character recognition, wherein the character grid is a two-dimensional down-sampled version of the document;
• apply a machine leaning algorithm to the character grid;
• in response to the applying, generate a segmentation mask depicting semantic data of the document;
• and
• wherein to generate the character grid, the at least one processor is further configured to:
• identify a character of the document;
• determine a pixel area for the character;
• assign an index value to represent the pixel area in the character grid;
• and
• down-sample the document by a factor equal to the pixel area covering a character of the document.

A non-transitory computer-readable device having instructions stored thereon that, when executed by at least one computing device, cause the at least one computing device to perform operations comprising:

• performing optical character recognition on a document;
• generating a character grid using character information obtained from the optical character recognition, wherein the character grid is a two-dimensional down-sampled version of the document;
• applying a machine learning algorithm to the character grid;
• in response to the applying, generating a segmentation mask depicting semantic data of the document;
• and
• wherein generating the character grid comprises:
• identifying a character of the document;
• determining a pixel area for the character;
• assigning an index value to represent the pixel area in the character grid;
• and
• down-sampling the document by a factor equal to the pixel area covering a character of the document.