Rolf Grrrolf

## README.md

      
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                dannguyen
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              May 17, 2024 02:07
            
              
                Using Python 3.x and Google Cloud Vision API to OCR scanned documents to extract structured data
              
          
    Using Python 3 + Google Cloud Vision API's OCR to extract text from photos and scanned documents

Just a quickie test in Python 3 (using Requests) to see if Google Cloud Vision can be used to effectively OCR a scanned data table and preserve its structure, in the way that products such as ABBYY FineReader can OCR an image and provide Excel-ready output.
The short answer: No. While Cloud Vision provides bounding polygon coordinates in its output, it doesn't provide it at the word or region level, which would be needed to then calculate the data delimiters.
On the other hand, the OCR quality is pretty good, if you just need to identify text anywhere in an image, without regards to its physical coordinates. I've included two examples:
####### 1. A low-resolution photo of road signs

  
## fancy_date_functions.py
def get_holidays(year=date.year):
    easter_sunday = easter.easter(year)
    holidays = [
        # These holidays have a fixed date
        date(year,1,1), # New Year
        date(year,5,1), # Labor Day
        date(year,6,5), # Constitution Day (Grundlovsdag)
        date(year,12,24), # Christmas  Night
        date(year,12,25), # 1st Christmas  Day
        date(year,12,26),# 2st Christmas  Day
	def get_holidays(year=date.year):
	easter_sunday = easter.easter(year)
	holidays = [
	# These holidays have a fixed date
	date(year,1,1), # New Year
	date(year,5,1), # Labor Day
	date(year,6,5), # Constitution Day (Grundlovsdag)
	date(year,12,24), # Christmas Night
	date(year,12,25), # 1st Christmas Day
	date(year,12,26),# 2st Christmas Day