Abstract: The embodiments disclosed herein relate to identifying phrases in an electronic document, where each token is one or more characters. Phrases are formed from the tokens, based on a position of each token relative to other tokens in the document. If the horizontal space between two tokens is less than a threshold, the two tokens are identified as a phrase. Information identifying phrases and tokens can be stored in a marked-up document. Value phrases can be identified by the content of the phrase. Thereafter, a label phrase can be identified based on proximity to the value phrase and/or the presence of an association symbol in the phrase. The label phrase and value phrase can be identified as a label-value pair, where the label identifies the type of content in the value phrase. A reading order of the document can be determined through the use of a binary tree.

Abstract: The embodiments disclosed herein relate to extracting table data from an electronic document. Tables are detected based on identification of the column headers, of the table, that correspond to known fields. Once a table is detected, values corresponding to the column headers are extracted and stored in association with the known fields.

Abstract: The embodiments disclosed herein relate to extracting table data from an electronic document. Tables are detected based on identification of the column headers, of the table, that correspond to known fields. Once a table is detected, values corresponding to the column headers are extracted and stored in association with the known fields.

Abstract: The embodiments disclosed herein relate to identifying phrases in an electronic document, where each token is one or more characters. Phrases are formed from the tokens, based on a position of each token relative to other tokens in the document. If the horizontal space between two tokens is less than a threshold, the two tokens are identified as a phrase. Information identifying phrases and tokens can be stored in a marked-up document. Value phrases can be identified by the content of the phrase. Thereafter, a label phrase can be identified based on proximity to the value phrase and/or the presence of an association symbol in the phrase. The label phrase and value phrase can be identified as a label-value pair, where the label identifies the type of content in the value phrase. A reading order of the document can be determined through the use of a binary tree.