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Read and Generate Image Captcha using Python

Monday, April 28, 2025

 

Step 1: Install Required Libraries

You will need captcha for generating CAPTCHA images, and pytesseract (OCR tool) to read the text from the images.

Install them via pip:


pip install captcha pytesseract pillow

Step 2: Generate CAPTCHA Image Using ImageCaptcha

First, let's see how to generate a simple CAPTCHA image using the captcha library.

Example Code to Generate CAPTCHA:

from captcha.image import ImageCaptcha

# Create an ImageCaptcha object
image_captcha = ImageCaptcha()

# Define the text that you want in the CAPTCHA image
captcha_text = 'ABCD'

# Generate the CAPTCHA image
captcha_image = image_captcha.generate_image(captcha_text)

# Save the image to a file
captcha_image.save('captcha_image.png')

# Optionally, display the image
captcha_image.show()
#This script will create a simple CAPTC

This script will create a simple CAPTCHA image with the text 'ABCD' and save it as captcha_image.png.

Step 3: Read CAPTCHA Image Using OCR (pytesseract)

Now that you've generated a CAPTCHA image, you can use pytesseract to read the text from the image.

Example Code to Read CAPTCHA:

from PIL import Image
import pytesseract

# Path to the tesseract executable (you may need to adjust this depending on your OS)
pytesseract.pytesseract.tesseract_cmd = r'C:\Program Files\Tesseract-OCR\tesseract.exe'  # Windows path

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

# Use pytesseract to extract text from the image
captcha_text = pytesseract.image_to_string(captcha_image)

# Print the extracted text
print("Extracted CAPTCHA Text:", captcha_text.strip())

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  • Read and Generate Image Captcha using Python

{ 4 comments... read them below or Comment }

  1. AnonymousNovember 18, 2025 at 12:22 AM

    This post offers helpful details and fresh perspectives. I appreciate the effort put into creating such meaningful content. Hope to read more from you soon.

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    ReplyDelete
  2. pgMay 21, 2026 at 12:03 AM

    Creating and reading CAPTCHA images (Image Processing Projects For Final Year) in Python involves two parts:

    Generating CAPTCHA images
    Reading (decoding) CAPTCHA using OCR

    CAPTCHA is designed to prevent automation, so decoding accuracy may be low.
    Preprocessing (grayscale, thresholding) improves results.
    Advanced CAPTCHAs require Deep Learning models. (Deep Learning Projects for Final Year)

    Simple Workflow

    Generate Image → Add Noise → Save → Apply OCR → Extract Text

    ReplyDelete
  3. for.September 17, 2026 at 9:35 PM

    The article provides a practical example of combining image generation and OCR in Python. Using ImageCaptcha to create the CAPTCHA and then processing the resulting image with an OCR tool gives a clear demonstration of how Python can handle both image creation and text extraction.

    For learners experimenting with CAPTCHA generation and OCR, the example is a useful way to understand how external libraries can be combined in a small Python application. It also provides a practical exercise for applying concepts covered in Python Online Training, particularly when working with third-party packages.

    ReplyDelete
  4. for.September 17, 2026 at 9:36 PM

    The use of pytesseract alongside Pillow is particularly relevant because the workflow moves beyond simply generating an image and demonstrates how the generated content can be processed programmatically. This kind of hands-on implementation can complement concepts introduced through Python Online Course material.

    ReplyDelete

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