pythonOCR.py

import pytesseract
from PIL import Image
import cv2
from gtts import gTTS
# from playsound import playsound


cap = cv2.VideoCapture(0)


if not cap.isOpened():
        print("Error opening video stream")

# Read until video is completed
while(cap.isOpened()):
    # Capture frame-by-frame
    ret, frame = cap.read()
    if ret == True:
        cv2.imwrite('LiveCam.jpg', frame)
        break


cap.release()


cv2.destroyAllWindows()

image_1 = cv2.imread('LiveCam.jpg')

height, width, _ = image_1.shape


# image_2 = cv2.imread('image_2.png')
# image_3 = cv2.imread('image_3.png')

cv2.imshow('Image 1', image_1)
# cv2.imshow('Image 2', image_2)
# cv2.imshow('Image 3', image_3)

print(pytesseract.image_to_string(image_1))

character_box = pytesseract.image_to_boxes(image_1)

data = pytesseract.image_to_data(image_1, output_type=pytesseract.Output.DICT)

with open('ocr_data.txt', 'w') as f:
    for key, value in data.items():
        f.write(f'{key}: {value}\n')

for a in character_box.splitlines():
    a = a.split(' ')
    print(a)
    x, y, w, h = int(a[1]), int(a[2]), int(a[3]), int(a[4])
    cv2.rectangle(image_1, (x, height-y), (w, height-h), (0, 0, 255), 1)
    
    # putting text
    cv2.putText(image_1, a[0], (x, y), cv2.FONT_HERSHEY_SIMPLEX, 0.7, (50, 50, 255), 2)
    
cv2.imshow('Image 1', image_1)

cv2.waitKey(0)