Handwritten character recognition is a process of recognizing text from a handwritten image. This process is getting more and more attentive due to its wide range of applications. There are numerous Optical Character Recognition (OCR) instruments that identify and extract writing from pictures. These tools are utilized within the introductory steps of the investigation of scanned pictures to recognize and naturally prepare the data that the images contain. There are many OCR tools that are used for various purposes. Some of them are Google OCR, Azure OCR, Amazon Textract, and an open-source tool called Tesseract OCR. In this paper, our attempt is to compare Amazon Textract and Tesseract OCR with handwritten images as input, and we analyze the performance, accuracy, and execution time of various handwritten image datasets.