Installing —

Pillow (a newer version of PIL)

PyTesseract

Apart from this, a tesseract executable needs to be installed.

Code implementation

The following functions were mainly used in the code & # 8212 ;

pytesseract.image_to_string (image, lang = ** language **) – Takes the image and searches for words of the language in their text.

cv2.cvtColor (image, ** color conversion **) – Used to make the image monochrome (using cv2.COLOR_BGR2GRAY).

ImageGrab. grab (bbox = ** Coordinates of the area of ​​the screen to be captured **) – Used to repeatedly (using a loop) capture a specific part of the screen.

Objectives of the Code:

1. Use a loop to capture multiple times part of the screen.
2. To convert the captured image to grayscale.
3. Use PyTesseract to read the text in it.

Code: Python code for using ImageGrab and PyTesseract

# cv2.cvtColor takes numy ndarray as an argument import numpy as nm   import pytesseract    # OpenCV import import cv2   from PIL import ImageGra b     def imToString ():    # Path to the tesseract executable pytesseract.pytesseract.tesseract_cmd = `** Path to tesseract executable ** `   while ( True ):    # ImageGrab-To capture an image on the screen in a loop. # Bbox is used to capture the area. cap = ImageGrab.grab (bbox = ( 700 , 300 , 1400 , 900 ))   # Convert the image to monochrome so it`s easy # read the OCR and got the output string. tesstr = pytesseract.image_to_string ( cv2.cvtColor (nm.array (cap), cv2.COLOR_BGR2GRAY),  lang = ` eng` ) print (tesstr)   # Function call imToString ()

Exit

The above code can be used to grab a specific section screen and read its text content.

Read about other libraries used in the code