Extract Text from Images Microsoft Computer Vision & Python

# -*- coding: utf-8 -*-
"""
Spyder Editor
INTRODUCTION
This is a script file to perform the following operations:

    1.Use Microsoft Azure Computer vision Cognitive service to extract text from images (OCR) stored on Blob storage or any link.
    2.Export the extracted text to an MS Excel file on your desktop for further analysis
  
    pip install --upgrade azure-cognitiveservices-vision-computervision
    pip install pillow
    pip install azure-storage-blob
"""

""" IMPORT LIBRARIES """
from azure.cognitiveservices.vision.computervision import ComputerVisionClient
from azure.cognitiveservices.vision.computervision.models import OperationStatusCodes
from azure.cognitiveservices.vision.computervision.models import VisualFeatureTypes
from msrest.authentication import CognitiveServicesCredentials

from array import array
import os
from PIL import Image
import sys
import time
import pandas as pd
from requests import get, post
import json

""" CREATE A PYTHON DATAFRAME TO STORE OUTPUT """
output=pd.DataFrame()

""" AUTHENTICATE TO COMPUTER VISION """

subscription_key = "<<REPLACE_subscription_key>>"
endpoint = "<<REPLACE_endpoint>>"

computervision_client = ComputerVisionClient(endpoint, CognitiveServicesCredentials(subscription_key))

""" CALL THE API AND GET RESULTS (TEXT IN AN IMAGE), THEN PRINT THE RESULTS LINE BY LINE """

print("===== Batch Read File - remote =====")

# Get an image with handwritten text, REPLACE image link as per your requirements
remote_image_handw_text_url = "https://jayantml1356189034.blob.core.windows.net/jayantcontainer/0001.jpg"

# Call API with URL and raw response (allows you to get the operation location)
recognize_handw_results = computervision_client.read(remote_image_handw_text_url,  raw=True)

# Get the operation location (URL with an ID at the end) from the response
operation_location_remote = recognize_handw_results.headers["Operation-Location"]

# Grab the ID from the URL
operation_id = operation_location_remote.split("/")[-1]

# Call the "GET" API and wait for it to retrieve the results 
while True:
    get_handw_text_results = computervision_client.get_read_result(operation_id)
    
    if get_handw_text_results.status not in ['notStarted', 'running']:
        break
    time.sleep(1)

# Print the detected text, line by line
if get_handw_text_results.status == OperationStatusCodes.succeeded:
    for text_result in get_handw_text_results.analyze_result.read_results:
        for line in text_result.lines:
            print(line.text)
            ser = pd.Series(line.text)
            output = output.append (ser,ignore_index=True)
            #print(line.bounding_box)
            
print()
# Export the Output to MS Excel with custom sheet name
output.to_excel("Words.xlsx", sheet_name="WordList")