Python best ocr librarry4/5/2023 ![]() ![]() pipeline = keras_() # Get a set of three example images images = ] # Each list of predictions in prediction_groups is a list of # (word, box) tuples. #Importing the library import matplotlib.pyplot as plt import keras_ocr # keras-ocr will automatically download pretrained # weights for the detector and recognizer. ![]() The below example shows how to use the pre-trained models. For higher accuracy and time-efficient processing is better to purchase SDK.įor install Keras-OCR in python. There more other OCR tools are available. OCR technology is used to convert virtually any kind of image containing written text (typed, handwritten, or printed) into machine-readable text data. ![]() Optical Character Recognition is a widespread technology to recognize text inside images, such as scanned documents and photos. To extract the text data from these documents using OCR. Some of the data were stored in different document formats like PDF, JPEG, PNG, etc. We have several data in the form of different file types. In this article, you will learn about Optical Character Recognition(OCR). ![]()
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