Machine learning based automated electronic document processing system

A system for automatically processing electronic documents, comprising:

• one or more processors;
• and
• a memory comprising instructions that, when executed by the one or more processors, cause the system to:
• generate, using a generative machine learning model, a code representation of an electronic document based on an entity comprising a row of items or a column of items of the electronic document;
• generate an entity representation for the entity based on determining that the code representation corresponds to an incompatible format for an electronic document processing application, wherein the entity representation comprises an index indicator appended to an identifier for the entity;
• apply a transformation to the entity representation to produce an intermediate code representation of the electronic document, wherein the transformation comprises a format for entities or a format for code representations of entities;
• generate an updated code representation of the electronic document based on matching indexed item values from the electronic document to the transformed entity representation, wherein the updated code representation corresponds to a compatible format for the electronic document processing application;
• and
• upload the updated code representation to the electronic document processing application.

A non-transitory computer readable storage medium comprising instructions, that when executed by one or more processors of a computing system, cause the computing system to:

• generate, using a generative machine learning model, a code representation of an electronic document based on an entity comprising a row of items or a column of items of the electronic document;
• generate an entity representation for the entity based on determining that the code representation corresponds to an incompatible format for an electronic document processing application, wherein the entity representation comprises an index indicator appended to an identifier for the entity;
• apply a transformation to the entity representation to produce an intermediate code representation of the electronic document, wherein the transformation comprises a format for entities or a format for code representations of entities;
• generate an updated code representation of the electronic document based on matching indexed item values from the electronic document to the transformed entity representation, wherein the updated code representation corresponds to a compatible format for the electronic document processing application;
• and
• upload the updated code representation to the electronic document processing application.