12. A computer-implemented method, comprising: capturing, by a camera in electronic communication with a computing system having one or more processors, a first image of an object comprising a text in a source language; receiving, at the computing system and from the camera, the first image; performing, by the computing system, optical character recognition (OCR) on the first image to obtain a set of possible OCR texts, wherein each possible OCR text has a corresponding OCR score indicative of a degree of likelihood that the possible OCR text is the text; selecting, by the computing system, the possible OCR text having a highest corresponding OCR score relative to the OCR scores of the other possible OCR texts to obtain an OCR text; and when the OCR score of the OCR text is less than an OCR score threshold indicative of an acceptable degree of likelihood: outputting, by the computing system, a user instruction to capture a set of second images of at least a portion of the object using the camera; adjusting, by the computing system, an intensity of a light source while capturing, by the camera, the second set of images to increase a likelihood that an OCR score of a modified OCR text corresponding to the text and obtained from at least one of the second set of images will achieve the OCR score threshold, the light source being in electronic communication with at least one of the camera and the computing system; receiving, at the computing system and from the camera, the set of second images; performing, by the computing system, OCR on the at least one of the set of second images to obtain the modified OCR text; and outputting, by the computing system, the modified OCR text.
16. The computer-implemented method of claim 12 , further comprising when the OCR score is less than the OCR score threshold, selecting, by the computing system, another one of the possible OCR texts to obtain the modified OCR text.