How to install and configure the Python package of pytesserapt

How to install and configure the Python package of pytesserapt Pytesseract is a Python package for OCR (optical character recognition), which can be used to identify text in the image.In this article, the Python package of how to install and configure Pytesseract. 1. Install Tesseract OCR engine: Pytesseract depends on the TSSERACT OCR engine. First of all, you need to install this engine.On the Windows system, you can download and install the package from the following location: https://github.com/UB-Mannheim/tesseract/wiki After the installation is complete, add the TESSERACT installation directory to the environment variable. 2. Install Pytesseract: Run the following commands in the command line or terminal to install Pytesseract: pip install pytesseract 3. Import pytesseract: Introduce the Pytesseract package in Python script: python import pytesseract 4. Configure the OCR engine path of Pytesseract: Before using Pytesseract, you need to tell it the installation path of Tesseract.This can be completed by setting TESSERACT_CMD variables: python pytesseract.pytesseract.tesseract_cmd = r'C:\Program Files\Tesseract-OCR\tesseract.exe' Make sure the path is changed to your TesserAct installation directory. 5. Use Pytesseract for OCR: You can now use PytesSseract for OCR.For example, the following code demonstrates how to extract the text in the image: python from PIL import Image # 打 image = Image.open('image.png') # Use Pytesseract to identify text text = pytesseract.image_to_string(image, lang='eng') # Print the text extracted print(text) Make sure to change 'Image.png' to the path of the actual image.In addition, the LANG parameter can be changed to other support languages as needed. This is the step of installation and configuration of Pytesseract Python package.The steps of configuration using the Tesseract OCR engine path are very important, so that Pytesseract can work normally.Using other functions and methods of Pytesseract can find more detailed explanations in the official documentation.