Compare Image Text OCR Python

Processing and analyzing textual information is a common requirement in various fields. However, dealing with text on images presents a unique challenge. Fortunately, Aspose.OCR for Python via .NET offers powerful libraries and tools to tackle this task efficiently. In this blog post, you will explore how to compare text on images in Python using Optical Character Recognition (OCR) techniques as well as checking the similarity or differences in the text on images.

Compare Image Text with OCR – Python API Installation

OCR is a technology that enables the extraction of text from images, scanned documents, or handwritten materials. It uses computer vision algorithms to identify characters and convert them into machine-readable text. OCR plays a crucial role in automating tasks involving textual analysis of images, such as comparing text or getting the differences or similarities. You can easily configure Aspose.OCR for Python via .NET by accessing it from the New Releases section or install it from PyPi using the following installation command:

pip install aspose-ocr-python-net

Compare Text on Images with OCR in Python

You can compare text on different images and find if they are similar or not. The output is generated in the Boolean format as a True or False value where True means the text is similar and the False value means that the text is not similar. You need to follow the steps below to compare text on images with OCR in Python:

  1. Create an object of AsposeOcr class.
  2. Get the input images for comparison.
  3. Compare the text in the images and print the result.

The following code snippet demonstrates how to compare text in images with OCR in Python:

import aspose.ocr as ocr

# Instantiate Aspose.OCR API
api = ocr.AsposeOcr()

# Initialize RecognitionSettings
settings = ocr.RecognitionSettings()

input1 = "image1.jpg"
input2 = "image1.jpg"

# Recognize the image
result = api.compare_image_texts(input1, input2, settings, True)

# Print recognition result
print(result)
print("Images Compared Successfully")

Get Text Similarity in Images with OCR in Python

You can get text similarities or differences in the images in Python by following the steps below:

  1. Initialize an instance of AsposeOcr class.
  2. Instantiate the [RecognitionSettings][5] class object.
  3. Calculate the difference in text in the images.
  4. Print the output result.

The code snippet below explains how to get similarities or differences in the text in images in Python:

import aspose.ocr as ocr

# Instantiate Aspose.OCR API
api = ocr.AsposeOcr()

# Initialize RecognitionSettings
settings = ocr.RecognitionSettings()

input1 = "image1.jpg"
input2 = "image1.jpg"
input3 = "image2.jpg"

# Check difference
result = api.image_text_diff(input1, input2, settings, True)

# Print 1 - equal, 0 - maximum difference
print("Image Texts are " + str(result*100) + "% similar")


# Check difference
result = api.image_text_diff(input1, input3, settings, True)

# Print 1 - equal, 0 - maximum difference
print(result)
print("Image Texts are " + str(result*100) + "% similar")

Get a Free Evaluation License

You can request a free temporary license for testing all the features of the API in their full capacity.

Summing Up

Comparing text on images using OCR techniques in Python opens up a wide range of possibilities in various domains. You can easily extract text from images, compare it, and get the differences or similarities. Whether you’re working on document analysis, content verification, or plagiarism detection, this approach will streamline your text comparison workflow. In case of any concerns, please feel free to contact us via the free support forum.

See Also