Translation of multiple images or documents into editable text, that can be decomposed is termed as OCR. Different automated machine learning tools have been used in the literature that segregate the data into characters. This automatic segregation helps to convert the copies into electronic format. This paper deals with multiple feature extraction techniques and also the data labeling tools that have been used extensively for character recognition. This paper presents the present state of art techniques to provide further direction of research for the researchers.