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optical character recognition (ocr) is a process of extracting text from images or scanned documents. python offers various libraries and tools for ocr tasks, and one popular choice is tesseract ocr. tesseract is an open-source ocr engine developed by google.
in this tutorial, we'll explore how to perform ocr using tesseract ocr in python with the help of the pytesseract library. we'll also discuss how to set it up with github, allowing you to access tesseract ocr within your python projects.
before getting started, ensure you have the following installed:
you can install tesseract ocr and pytesseract using pip:
additionally, you'll need to install tesseract ocr. you can find installation instructions for various operating systems here.
create a new repository: if you haven't already, create a new repository on github where you'll store your python code for ocr tasks.
clone the repository: clone the repository to your local machine using git.
initialize a python environment: it's a good practice to create a virtual environment for your python projects. navigate to the cloned repository directory and create a virtual environment.
activate the virtual environment: activate the virtual environment to isolate your python dependencies.
on windows:
on macos/linux:
install pytesseract: inside the activated virtual environment, install the pytesseract library.
commit and push changes: commit the changes to your local repository and push them to github.
now, your github repository is set up with the pytesseract library, and you're ready to perform ocr tasks using tesseract ocr in your python code.
now that we've set up the environment, let's write a python script to perform ocr on an image.
make sure to replace "example_image.jpg" with the path to the image file you want to perform ocr on.
in this tutorial, you learned how to set up tesseract ocr with python using the pytesseract library and github. you can now leverage the power of ocr in your python projects to extract tex ...

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