I have preprocessed image by converting it to grayscale, applied otsu thresholding. I may not mention the project’s root directory name in the subsequent sections, but I will assume that I am creating files with respect to the project’s root directory. I want to build an OCR for an image using machine learning in python. Project DirectoryĬreate a project root directory called python-extract-text-from-image as per your chosen location. Next install tesseract using the command pip install pytesseract. In Windows system the exe file path would be like the C:\Program Files\Tesseract-OCR\tesseract. Python 3.9.5 – 3.9.7, Tesseract Installerĭownload Tesseract and install in your system. Additionally, if used as a script, Python-tesseract will print the recognized text instead of writing it to a file. It is also useful as a stand-alone invocation script to tesseract, as it can read all image types supported by the Pillow and Leptonica imaging libraries, including jpeg, png, gif, bmp, tiff, and others. Python-tesseract is a wrapper for Google’s Tesseract-OCR Engine. Let’s start working on this interesting Python project. That is, it will recognize and “read” the text embedded in images. Extract Text from Image with Python
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