Intelligent table suggestion and conversion for text

A method, comprising:

• receiving input text that includes at least three rows;
• ascertaining a plurality of characteristics of the input text, wherein each characteristic of the plurality of characteristics is associated with a consistency between the rows of the input text, and wherein the plurality of characteristics includes at least one characteristic that is associated with delimiter usage in the input text;
• via at least one processor, making a rules-based decision as to whether the input text is suitable for table conversion based on the plurality of characteristics;
• and
• responsive to making a positive rules-based decision that the input text is suitable for table conversion, enabling conversion of the input text to a table using a machine-learning model.

A processor-readable storage medium, having stored thereon processor-executable code that, upon execution by at least one processor, enables actions, comprising:

• evaluating a plurality of characteristics of input text, wherein the input text includes at least two rows, and wherein the plurality of characteristics includes a delimiter usage and further includes at least one parameter associated with row lengths;
• performing a prediction as to whether the input text is suitable for table conversion based on the plurality of characteristics;
• and
• providing at least one result that is associated with the prediction, including at least an indication as to whether the input text is suitable for table conversion based on the prediction.