Convert an Image of Text into a Binarized (Light & Dark) View in Python

pip install cloudmersive-ocr-api-clientfrom __future__ import print_function
import time
import cloudmersive_ocr_api_client
from cloudmersive_ocr_api_client.rest import ApiException
from pprint import pprint
# Configure API key authorization: Apikey
configuration = cloudmersive_ocr_api_client.Configuration()
configuration.api_key['Apikey'] = 'YOUR_API_KEY'
# create an instance of the API class
api_instance = cloudmersive_ocr_api_client.PreprocessingApi(cloudmersive_ocr_api_client.ApiClient(configuration))
image_file = '/path/to/inputfile' # file | Image file to perform OCR on. Common file formats such as PNG, JPEG are supported.
try:
# Convert an image of text into a binarized (light and dark) view
api_response = api_instance.preprocessing_binarize(image_file)
pprint(api_response)
except ApiException as e:
print("Exception when calling PreprocessingApi->preprocessing_binarize: %s\n" % e)

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