How To extract Text from a Video and image in pytesseract opencv in python

 How to extract text from image and video in OpenCV Python

Make sure you have install pytesseract before running this code

Note : this line of code define location of pytesseract app in my laptop so that we can use it while executing our command

pytesseract.pytesseract.tesseract_cmd ='C:\\Program Files\\Tesseract-OCR\\tesseract.exe'

Image as input 

First, we will see how to extract text from an image having English language

import cv2

import pytesseract

from PIL import Image

pytesseract.pytesseract.tesseract_cmd ='C:\\Program Files\\Tesseract-OCR\\tesseract.exe'

img = cv2.imread('scanned.png',cv2.COLOR_BGR2GRAY)

print(pytesseract.image_to_string(img))

cv2.imshow('Result',img)

cv2.waitKey(0)

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Extracting non-English text from image. In this case, I will extract Hindi text from an image

Before we start it you need to make sure you have installed the language which you want to extract in my case it is Hindi.Here you noticed something  (pytesseract.image_to_string(Image.open('erw.jpg'), lang='hin')) that i have type lang = 'hin' here lang means language and hin means hindi .But what about other language how you know what you need to type for your language for that just type this line print(pytesseract.get_languages(config='')) it will show you all the language you have installed make sure you have installed your desired language else this will not work

Image as input

import cv2

import pytesseract

from PIL import Image

pytesseract.pytesseract.tesseract_cmd ='C:\\Program Files\\Tesseract-OCR\\tesseract.exe'

img = cv2.imread('erw.jpg')

print(pytesseract.image_to_string(Image.open('erw.jpg'), lang='hin'))

cv2.imshow('Result',img)

cv2.waitKey(0)

Output : मकड़ियों की चौंकाने वाली तस्वीरें: ऑस्ट्रेलिया के बाढ़ग्रस्त

इलाके में मकड़ियों ने जाल की चादर डाली, पानी से बचने के

लिए दूर तक बड़ा और ट्रांसपेरेंट जाल बनाया

you can also extract a car no. plate details with this code easily here is example

Extracting text from a webcam :

#Warning if your system is weak you will see a laggy output from this

 

import cv2

import pytesseract

pytesseract.pytesseract.tesseract_cmd ='C:\\Program Files\\Tesseract-OCR\\tesseract.exe'

cap = cv2.VideoCapture(0)

while True:

    _,frame = cap.read()

    imgH ,imgW,_ = frame.shape

    x1,y1,w1,h1 = 0,0,imgH ,imgW

    imgchar = pytesseract.image_to_string(frame)

    imgboxes =  pytesseract.image_to_boxes(img)

    for boxes in imgboxes.splitlines():

        boxes = boxes.split(' ')

        x,y,w,h = int(boxes[1]),int(boxes[2]),int(boxes[3]),int(boxes[4])

        cv2.rectangle(frame,(x,imgH-y),(w,imgH-h),(0,0,255),3)

        cv2.putText(frame,imgchar,(x1 +int(w1/50),y1+int(h1/50)),cv2.FONT_HERSHEY_COMPLEX,0.7,(0,0,255),2) 

        

        cv2.imshow('text',frame)

        if cv2.waitKey(2) & 0xFF ==ord('q'):

            break

cap.release()

cv2.destroyAllWindows()

smaller version of this code :

import cv2

import pytesseract

from PIL import Image

pytesseract.pytesseract.tesseract_cmd ='C:\\Program Files\\Tesseract-OCR\\tesseract.exe'

img = cv2.imread('scanned.png',cv2.COLOR_BGR2GRAY)

print(pytesseract.image_to_string(img))

cv2.imshow('Result',img)

cv2.waitKey(0)