1. A method, comprising: receiving or capturing digital image data; detecting an object depicted in a digital image represented by the digital image data, wherein detecting the object comprises defining a plurality of candidate edge points based on statistically significant differences between each respective candidate edge point and a background of the digital image; processing the digital image to improve an image quality of at least the object; determining an object classification based on the processed digital image; building or determining an extraction model based at least in part on the object classification; and extracting, using the extraction model, information from one or more regions of interest within the digital image; wherein each region of interest depicts one or more object features selected from: text characters, symbols, photographs, and image characteristics; and wherein the information comprises one or more of: an object feature color; an object feature size; an object feature dimensions; an object feature shape; an object feature texture; an object feature brightness; an object feature intensity in one or more color channels; a position of one or more object features depicted in the digital image; and a positional relationship between one or more object features depicted in the digital image.