tesseract-ocrHow can I use tesseract OCR to process images?

Tesseract OCR is an open-source Optical Character Recognition (OCR) engine used to process images and extract text from them. To use Tesseract OCR to process images, you need to perform the following steps:

1. Pre-process the image: This includes resizing the image, adjusting the contrast, and converting it to a binary image.

2. Pass the image to Tesseract: This can be done using the pytesseract library in Python.

Example code

import pytesseract
from PIL import Image

# Load the image
image = Image.open('sample.png')

# Pre-process the image
image = image.resize((800, 800))
image = image.convert('L')
image = image.point(lambda x: 0 if x<200 else 255, '1')

# Pass the image to Tesseract
text = pytesseract.image_to_string(image)

print(text)

Output example

This is a sample text.

3. Post-process the extracted text: This includes removing any unwanted characters, applying spell-check, and converting the text into the desired format.

For further information, please refer to the official Tesseract OCR documentation:

• Tesseract OCR Documentation
• pytesseract Documentation

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