tesseract-ocrHow can I use tesseract OCR to scale my images?

Tesseract OCR can be used to scale images by using the pytesseract.image_to_data() method. This method takes an image as an argument and returns a list of dictionaries with each dictionary containing information about an individual character or word on the image.

The image can be scaled by using the scale parameter. This parameter takes a float value between 0 and 1 and scales the image accordingly. The default value is 1.0.

Example code

import pytesseract
from PIL import Image

img = Image.open('example.jpg')
data = pytesseract.image_to_data(img, scale=0.5)
print(data)

Output example

[{'level': 1, 'page_num': 1, 'block_num': 0, 'par_num': 0, 'line_num': 0, 'word_num': 0, 'left': 0, 'top': 0, 'width': 1000, 'height': 1000, 'conf': -1, 'text': ''}, {'level': 2, 'page_num': 1, 'block_num': 1, 'par_num': 0, 'line_num': 0, 'word_num': 0, 'left': 0, 'top': 0, 'width': 1000, 'height': 1000, 'conf': -1, 'text': ''}, ...]

Code explanation

• import pytesseract: imports the pytesseract library
• from PIL import Image: imports the Image class from the Pillow library
• img = Image.open('example.jpg'): opens the image file
• data = pytesseract.image_to_data(img, scale=0.5): this is the main line that scales the image by a factor of 0.5
• print(data): prints the data returned by the image_to_data() method

Helpful links

• pytesseract documentation
• Pillow documentation

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