Systems and methods are disclosed herein for generating and modifying a workflow comprising a series of webpages based on an online document. A document management system accesses an online document selected by a user and classifies each field of the online document into one of a set of categories. For each category, the system generates a form webpage comprising questions corresponding to each field classified as the category and combines the generated webpages to create a workflow. The system may modify the workflow by generating and adding one or more additional form webpages based on one or more answers provided by an entity completing the webform page. In response to the entity completing the modified generated workflow, the system generates a completed document based on the online document and the answers provided by the entity.

Embodiments are disclosed for automatic enhancement of paragraph justification. A method includes receiving a selection of at least one paragraph, determining a plurality of penalty values for at least one typographic feature by varying a typographic feature value, the penalty values indicating a deviation from an optimal layout of the at least one paragraph, determining at least one optimal penalty value for the at least one typographic feature, the at least one optimal penalty value corresponding to at least one optimal typographic feature value of the at least one typographic feature, determining a priority for each of the at least one typographic feature based on a plurality of justification rules and the at least one optimal penalty value, and updating the at least one typographic feature of the at least one paragraph based on the priority and the at least one optimal typographic feature value.

Embodiments are disclosed for automatic enhancement of paragraph justification. A method includes receiving a selection of at least one paragraph, determining a plurality of penalty values for at least one typographic feature by varying a typographic feature value, the penalty values indicating a deviation from an optimal layout of the at least one paragraph, determining at least one optimal penalty value for the at least one typographic feature, the at least one optimal penalty value corresponding to at least one optimal typographic feature value of the at least one typographic feature, determining a priority for each of the at least one typographic feature based on a plurality of justification rules and the at least one optimal penalty value, and updating the at least one typographic feature of the at least one paragraph based on the priority and the at least one optimal typographic feature value.

A method for machine learning based document editing is provided. The method may include receiving, from a client, one or more inputs associated with a document. A recommendation to include and/or exclude a clause, a term, and/or a line item from the document may be generated by at least processing the one or more inputs with a machine learning model. The recommendation to include and/or exclude the clause, the term, and/or the line item from the document may be provided to the client. Related systems and articles of manufacture, including computer program products, are also provided.

A method for machine learning based document editing is provided. The method may include receiving, from a client, one or more inputs associated with a document. A recommendation to include and/or exclude a clause, a term, and/or a line item from the document may be generated by at least processing the one or more inputs with a machine learning model. The recommendation to include and/or exclude the clause, the term, and/or the line item from the document may be provided to the client. Related systems and articles of manufacture, including computer program products, are also provided.

Embodiments are disclosed for removing typographic rivers from electronic documents. The method may include receiving an electronic document including a plurality of words for automatic typographic correction. A typographic river is identified in the electronic document, the typographic river including a plurality of nodes, each node including an empty glyph. A candidate adjustment that removes the first node of the plurality of nodes is identified and the candidate adjustment is applied to the electronic document.

Systems and methods are disclosed herein for generating and modifying a workflow comprising a series of webpages based on an online document. A document management system accesses an online document selected by a user and classifies each field of the online document into one of a set of categories. For each category, the system generates a form webpage comprising questions corresponding to each field classified as the category and combines the generated webpages to create a workflow. The system may modify the workflow by generating and adding one or more additional form webpages based on one or more answers provided by an entity completing the webform page. In response to the entity completing the modified generated workflow, the system generates a completed document based on the online document and the answers provided by the entity.

Systems and methods are disclosed herein for generating and modifying a workflow comprising a series of webpages based on an online document. A document management system accesses an online document selected by a user and classifies each field of the online document into one of a set of categories. For each category, the system generates a form webpage comprising questions corresponding to each field classified as the category and combines the generated webpages to create a workflow. The system may modify the workflow by generating and adding one or more additional form webpages based on one or more answers provided by an entity completing the webform page. In response to the entity completing the modified generated workflow, the system generates a completed document based on the online document and the answers provided by the entity.

Embodiments are disclosed for removing typographic rivers from electronic documents. The method may include receiving an electronic document including a plurality of words for automatic typographic correction. A typographic river is identified in the electronic document, the typographic river including a plurality of nodes, each node including an empty glyph. A candidate adjustment that removes the first node of the plurality of nodes is identified and the candidate adjustment is applied to the electronic document.

A method for machine learning based document editing is provided. The method may include receiving, from a client, one or more inputs associated with a document. A recommendation to include and/or exclude a clause, a term, and/or a line item from the document may be generated by at least processing the one or more inputs with a machine learning model. The recommendation to include and/or exclude the clause, the term, and/or the line item from the document may be provided to the client. Related systems and articles of manufacture, including computer program products, are also provided.