def regex_MADISON(language_tag):
text = pdf_scanner_ocr.OCR('PDF_TEST.jpg',language_tag)
#convert to lowercase
text = text.lower()
#remove \n (new lines)
text = text.replace('\n','')
#replace space with commas
text = text.replace(' ',',')
text = text.replace(',,,,', ',')
text = text.replace(',,,', ',')
text = text.replace(':,', ',')
text = text.replace(',.', ',')
text = text.replace('.,', ',')
text = text.replace(',,', ',')
text_VAT = re.search(r'vat,de(.*?)unterschrift,', text).group(1)
text_VAT = text_VAT.replace(',','')
company = 'MADISON'
payment = re.search(r'eur,total,(.*?)total,', text).group(1)
payment = pd.unique(payment.split(','))[0]
has_to_be_paid_until = '60' + ' days' + ' from ' + re.search(r'datum,(.*?),abreise', text).group(1)
results_list = [text_VAT,company,payment,has_to_be_paid_until]
return results_list
def regex_OTE():
text = pdf_scanner_ocr.OCR('PDF_TEST.jpg','ell') #ell for OTE
#convert to lowercase
text = text.lower()
#remove \n (new lines)
text = text.replace('\n','')
#replace space with commas
text=text.replace(' ',',')
text = text.replace(',,,,', ',')
text = text.replace(',,,', ',')
text = text.replace(':,', ',')
text = text.replace(',.', ',')
text = text.replace('.,', ',')
text = text.replace(',,', ',')
text_VAT = re.search(r'αφμ,(.*?),δου,', text).group(1)
text_VAT = text_VAT[0:9]
company = 'OTE'
payment = re.search(r',λογαριασμού,\(µε,φπα\),(.*?)εποσό,πληρωμής,', text).group(1)
payment = payment.replace(',','.')
payment = str(np.round(float(payment),decimals=2))
has_to_be_paid_until = re.search(r'ις,-30,0970ε(.*?)σας,ευχαριστούμεσύνολο,', text).group(1)
results_list = [text_VAT,company,payment,has_to_be_paid_until]
return results_list
def regex_HELLOWORLD(language_tag):
text = pdf_scanner_ocr.OCR('PDF_TEST.jpg',language_tag)
#convert to lowercase
text = text.lower()
#remove \n (new lines)
text = text.replace('\n','')
#replace space with commas
text=text.replace(' ',',')
text = text.replace(',,,,', ',')
text = text.replace(',,,', ',')
text = text.replace(':,', ',')
text = text.replace(',.', ',')
text = text.replace('.,', ',')
text = text.replace(',,', ',')
text_VAT = re.search(r'road,po,(.*?)\(123\),456,', text).group(1)
company = 'HELLO WORLD'
payment = re.search(r'00total,(.*?)many,thanks,for,', text).group(1)
has_to_be_paid_until = re.search(r'to,be,received,within,(.*?),days.powered,by', text).group(1) + ' days' + ' from ' + re.search(r'hello,world,invoice123,southwest,(.*?)silicon,valley,', text).group(1)
results_list = [text_VAT,company,payment,has_to_be_paid_until]
return results_list
def get_clean_text_Technicomer():
text = pdf_scanner_ocr.OCR('PDF_TEST.jpg', 'ell')
# convert to lowercase
text = text.lower()
# remove \n (new lines)
text = text.replace('\n', '')
# replace space with commas
text = text.replace(' ', ',')
text = text.replace(',,,,', ',')
text = text.replace(',,,', ',')
text = text.replace(':,', ',')
text = text.replace(',.', ',')
text = text.replace('.,', ',')
text = text.replace(',,', ',')
return text
def regex_technicomer():
text = pdf_scanner_ocr.OCR('PDF_TEST.jpg','Greek')
#convert to lowercase
text = text.lower()
#remove \n (new lines)
text = text.replace('\n','')
#replace space with commas
text=text.replace(' ',',')
text = text.replace(',,,,', ',')
text = text.replace(',,,', ',')
text = text.replace(':,', ',')
text = text.replace(',.', ',')
text = text.replace('.,', ',')
text = text.replace(',,', ',')
text_VAT = re.search(r'αφμ,(.*?)7δ\.ο\.υ,', text).group(1) # in Greece VAT number is 9 digits
company = 'Technicomer'
payment = re.search(r'επληρώτεο,(.*?),ε,πληρωτεο,την,', text).group(1)
has_to_be_paid_until = re.search(r'πληρωτεο,την,(.*?),αρ.λογαριασμων,/', text).group(1)
results_list = [text_VAT,company,payment,has_to_be_paid_until]
return results_list