Analysis of text recognition technologies from image

The article analyzes various technologies for recognizing text from an image. Within the framework of the article, the steps of the algorithm for recognizing text from an image are considered. The main methods of the character recognition algorithm (OCR) are described, their advantages and disadvantages are given. Based on the results of the comparison, it was found that the neural network recognition method is the most promising. An analysis is made of libraries that actively use this neural network method within themselves. In conclusion, a conclusion is made about the expediency of using the considered libraries, depending on the conditions and specifics of the tasks.