1. A computer-implemented method for identifying information in an electronic document, comprising: obtaining a set of training documents for each template of a plurality of templates for the electronic document; extracting a first set of spatial attributes for at least a first label region and at least a first corresponding value region from the set, the first set of spatial attributes representing a position of at least the first label region and at least the first value region within the electronic document; training a classifier model based on the extracted first set of spatial attributes to generate a trained classifier model; segmenting, an image of the electronic document to obtain a second set of spatial attributes of candidate regions in the image, each of the candidate regions corresponding to a label or a value; identifying at least one candidate region from the candidate regions as a label to generate an identified label based on the obtained second set of spatial attributes using the trained classifier model without performing Optical Character Recognition (OCR); designating at least one of the candidate regions that is not identified as a label, as a designated value region; and performing OCR only on the designated value region to obtain at least one value corresponding to the identified label.
6. The method of claim 1 , wherein the spatial attributes comprises at least one of dimensions of each of the at least one label region and the at least one corresponding value region, position of each of the at least one label region and the at least one corresponding value region within the electronic document, or position of the at least one label region and the at least one corresponding value region relative to other regions in the electronic document.