title: How to store extracted text from images in structured format in txt/doc file
body: <p>As I want to extract text from images(it a bank transaction statement), which I successfully did. But it's give me raw data. Not in structured Format as Shown in Image.</p>
  
  <p>I have tried to do it by playing with their Vertices. But I just found to get 'description' and 'vertices' value in list format. How I move further to save it in doc/txt file in well structured format? </p>
  
  <p>My Code:</p>
  
  <pre><code>os.environ["GOOGLE_APPLICATION_CREDENTIALS"]="C:\\Users\\...."
  client = ImageAnnotatorClient()
  list1=[]
  list2=[]
  def detect_text(Image_path):
      with io.open(Image_path, 'rb') as image_file:
          content = image_file.read()
  
      image = vision.types.Image(content=content)
      response = client.text_detection(image=image)
      web_content = response.web_detection
      web_content.best_guess_labels
  
      texts = response.text_annotations
  
      for text in texts:
          #print (text)
          for vertex in text.bounding_poly.vertices:
  
              list1.append(vertex)
  
          b=[text.description for text in texts]
  
      list2=b[1:]
      print(list2)
      print(list1)
  detect_text(Image_path)
  </code></pre>
  
  <p>I got output like this:</p>
  
  <pre><code>['IDBI', 'BANK', 'Customer', 'ID'......]
  [x: 229
  y: 241
  , x: 2331
  y: 241
  , x: 2331
  y: 3350
  , x: 229
  ...
  ...
  ]
  </code></pre>
  
  <p>But Expected : to get output as bank statement look alike.i.e in Structured format. Which I can smoothly save and display in txt/doc file</p>