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Invoice Parser.py
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Invoice Parser.py
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import os, PyPDF2, re
from PyPDF2 import PdfFileReader
from os import listdir
import os.path
from os.path import isfile, join
import warnings
#import tempfile
import PIL.Image
from wand.image import Image
from wand.color import Color
import requests
import glob
import skimage
import pytesseract
import cv2
import numpy
import string
import shutil
from word2number import w2n
import PythonMagick
from openpyxl import Workbook
#import base64
import openpyxl
#Prerequesite: Ghostscript - 'pip install ghostscript' and https://www.ghostscript.com/download/gsdnld.html
# Imagemagick - https://imagemagick.org/script/download.php
# Tesseract-OCR - https://github.com/UB-Mannheim/tesseract/wiki
def get_url():
#ENTER URL IN QUOTATIONS BELOW
URL = 'https://ptsv2.com/t/z4f72-1561445479/post'
return URL
def check_connection():
url=get_url()
timeout=5
try:
_ = requests.get(url, timeout=timeout)
return True
except requests.ConnectionError:
return False
def ocr(filename):
text = pytesseract.image_to_string(PIL.Image.open(filename))
return text
def split_pdf_pages(root_directory, extract_to_folder):
for root, dirs, files in os.walk(root_directory):
for filename in files:
basename, extension = os.path.splitext(filename)
if extension == ".pdf":
fullpath = root + "\\" + basename + extension
opened_pdf = PyPDF2.PdfFileReader(open(fullpath,"rb"),False, None, True)
for i in range(opened_pdf.numPages):
output = PyPDF2.PdfFileWriter()
output.addPage(opened_pdf.getPage(i))
with open(extract_to_folder + "\\" + basename + "-%s.pdf" % i, "wb") as output_pdf:
output.write(output_pdf)
def convert_pdf(filename, output_path, resolution):
all_pages = Image(filename=filename, resolution=resolution)
for i, page in enumerate(all_pages.sequence):
with Image(page) as img:
img.format = 'jpg'
img.background_color = Color('white')
img.alpha_channel = 'remove'
image_filename = os.path.splitext(os.path.basename(filename))[0]
image_filename = '{}-{}.jpg'.format(image_filename, i)
image_filename = os.path.join(output_path, image_filename)
img.save(filename=image_filename)
def files_list(directory):
xlist = [f for f in listdir(directory) if isfile(join(directory, f))]
return xlist
def img_rot(x, name):
for i in range(x):
img_name = name[i]
img_path = 'CREATE TEMPLATE/img/' + img_name
im = skimage.io.imread(img_path)
newdata = pytesseract.image_to_osd(im, nice=1)
rotation=(re.search('(?<=Rotate: )\d+', newdata).group(0))
rotation = int(rotation)
if(rotation !=0):
unrotated_img = img_path
imgx = cv2.imread(unrotated_img)
(rows, cols) = imgx.shape[:2]
M = cv2.getRotationMatrix2D((cols / 2, rows / 2), rotation, 1)
res = cv2.warpAffine(imgx, M, (cols, rows))
rot_img_path = 'CREATE TEMPLATE/rimg/' + img_name
cv2.imwrite(rot_img_path, res)
else:
rot_img_path = 'CREATE TEMPLATE/rimg/' + img_name
shutil.copy(img_path,rot_img_path)
def remove_underlines(path):
img = cv2.imread(path, 0)
img = cv2.bitwise_not(img)
kernel_clean = numpy.ones((2,2),numpy.uint8)
cleaned = cv2.erode(img, kernel_clean, iterations=1)
kernel_line = numpy.ones((1, 5), numpy.uint8)
clean_lines = cv2.erode(cleaned, kernel_line, iterations=6)
clean_lines = cv2.dilate(clean_lines, kernel_line, iterations=6)
cleaned_img_without_lines = cleaned - clean_lines
cleaned_img_without_lines = cv2.bitwise_not(cleaned_img_without_lines)
cv2.imwrite(path, cleaned_img_without_lines)
def check_duplicate(listx, directory):
img_sig = []
for f in listx:
file_dir = directory + f
imgg = PythonMagick.Image(file_dir)
sig = imgg.signature()
if(sig not in img_sig[:]):
img_sig.append(sig)
else:
os.remove(file_dir)
def max_v(sheetx):
a=0
for row in sheetx.iter_rows(min_row=6,min_col=2, max_col=2, max_row=1000006):
for cell in row:
if(cell.value !=None):
a+=1
else:
return a
def matching(list1, str1):
match = [m for m in list1 if m in str1]
if(match):
return str(match[0])
else:
return None
def pn(value):
if(value>0):
return value-1
else:
return value
def extract(raw_excel_str1,ocr_string):
ocr_str = ocr_string.split('\n')
if((raw_excel_str1.count(';') == 0) and (raw_excel_str1.count(':') == 0)):
a1 = raw_excel_str1.split(',')
row = pn(int(a1[0]))
#print(row)
col = pn(int(a1[1]))
#print(col)
raw1 = ocr_str[row]
#print(raw1)
raw2 = raw1.split()
#print(raw2)
raw3 = str(raw2[col])
return raw3
elif(raw_excel_str1.count(';')>0):
item = raw_excel_str1.split(';')
raw4 = ''
for i in range(len(item)):
a1 = item.split(',')
row = pn(int(a1[i]))
col = pn(int(a1[i+1]))
raw1 = ocr_str[row]
raw2 = raw1.split()
raw3 = str(raw2[col])
raw4+=raw3
return raw4
elif(raw_excel_str1.count(':')== 1):
item = raw_excel_str1.split(':')
a1 = item[0]
#print(a1)
a2 = item[1]
#print(a2)
a1x = a1.split(',')
#print(a1x)
a2x = a2.split(',')
#print(a2x)
if(a1x[0] == a2x[0]):
ocr_lines = ocr_str
#print(ocr_lines)
ocr_row_str = ocr_lines[pn(int(a1x[0]))]
ocr_row = ocr_row_str.split()
raw = ocr_row[pn(int(a1x[1])):pn(int(a2x[1]))]
raw.append(str(ocr_row[pn(int(a2x[1]))]))
rawx = ' '.join(raw)
return rawx
else:
raw = "None"
return raw
def amount_words_extract(raw_excel_str,ocr_str):
ocr_lines = ocr_str.split('\n')
row_col = raw_excel_str.split(',')
row = pn(int(row_col[0]))
col = pn(int(row_col[1]))
amount_line = ocr_lines[row]
amount_line = amount_line[col:]
if('only' in amount_line.lower()):
amount = amount_line[:amount_line.lower().index('only')-1]
return amount
else:
amount = "None"
return amount
def amount_space_extract(raw_excel_str,ocr_str):
ocr_lines = ocr_str.split('\n')
row_col = raw_excel_str.split(',')
row = pn(int(row_col[0]))
col = pn(int(row_col[1]))
amount_l = ocr_lines[row]
amount_line = amount_l.split()
amount_line = amount_line[col:]
amount = ''.join(amount_line)
return amount
def names():
wb = openpyxl.load_workbook('CREATE TEMPLATE\Templates.xlsx')
sheet = wb.get_sheet_by_name('sheet1')
name_list = []
for row in sheet.iter_rows(min_row = 6, min_col = 2, max_row=max_v(sheet)+5, max_col = 2):
for cell in row:
name_list.append(cell.value)
return name_list
def inv_decode(rot_img_name,vname,ocr_full_img):
path_of_image = 'CREATE TEMPLATE/rimg/' + rot_img_name
path_of_template = 'CREATE TEMPLATE\Template storage\\' + vname + ' ts.jpg'
with open(path_of_image, "rb") as im:
with open(path_of_template, "rb") as tm:
wb = openpyxl.load_workbook('CREATE TEMPLATE\Templates.xlsx')
sheet = wb.get_sheet_by_name('sheet1')
name_list = []
for row in sheet.iter_rows(min_row = 6, min_col = 2, max_row=max_v(sheet)+5, max_col = 2):
for cell in row:
name_list.append(cell.value)
for i in range(len(name_list)):
name_list[i] = name_list[i].lower()
name = matching(name_list, ocr_full_img)
name_index = int(name_list.index(name)+6)
x=int(name_index)
inv = cv2.imread(path_of_image)
template = cv2.imread(path_of_template)
ht = inv.shape[0]
wt = inv.shape[1]
d = (wt,ht)
template_resize = cv2.resize(template, d, interpolation = cv2.INTER_AREA)
out = cv2.add(template_resize,inv)
out = cv2.blur(out,(4,4))
cv2.imwrite('CREATE TEMPLATE\cache 2\\output.jpg', out)
fimg = 'CREATE TEMPLATE\cache 2\\output.jpg'
if(sheet.cell(row = x, column = 15).value == 1):
remove_underlines(fimg)
ocr_inv = ocr(fimg)
un_list = ["'",'"', ':', ',', ';', '?', '/','<','.','>','|','[',']','{','}','(',')','*','^','!','&','%','$','#','@']
ocr_lines = ocr_inv.split('\n')
for i in range(len(ocr_lines)):
line = ocr_lines[i].strip()
if(len(line) == 1):
if(line[0] in un_list):
line = line.replace(line[0],"",1).strip()
if(len(line)>1):
if(line[0] in un_list):
line = line.replace(line[0],"",1).strip()
if(line[-1] in un_list):
line = line[:-1].strip()
ocr_lines[i] = line
ocr_lines = [line for line in ocr_lines if line.strip() != '']
ocr_inv = '\n'.join(ocr_lines)
#print(ocr_inv)
if(sheet.cell(row = name_index, column = 1).value == (name_index-6)):
code = x-6
v_name = sheet.cell(row = x, column = 2).value
if(sheet.cell(row = x, column = 5).value == 1):
raw_inv_no = sheet.cell(row = x, column = 3).value
inv_no = extract(raw_inv_no,ocr_inv)
raw_inv_date = sheet.cell(row = x, column = 4).value
inv_date = extract(raw_inv_date,ocr_inv)
elif(sheet.cell(row = x, column = 5).value == 0):
raw_data = sheet.cell(row = x, column = 3).value
inv_no = extract(raw_data,ocr_inv)
inv_date = "None"
else:
raw_data = sheet.cell(row = x, column = 3).value
separator = sheet.cell(row = x, column = 5).value
raw_data_ = extract(raw_data,ocr_inv)
inv_no = raw_data_.split(separator,1)[0]
inv_date = raw_data_.split(separator,1)[1]
if(sheet.cell(row = x, column = 9).value == 1):
if(sheet.cell(row = x, column = 6).value == 0):
if(sheet.cell(row = x, column = 8).value == 1):
raw_amount = sheet.cell(row = x, column = 7).value
inv_amount = amount_space_extract(raw_amount,ocr_inv)
elif(sheet.cell(row = x, column = 8).value == 0):
raw_amount = sheet.cell(row = x, column = 7).value
inv_amount = extract(raw_amount,ocr_inv)
elif(sheet.cell(row = x, column = 6).value == 1):
raw_amount = sheet.cell(row = x, column = 7).value
amount = amount_words_extract(raw_amount,ocr_inv)
inv_amount = w2n.word_to_num(amount)
if(amount == None):
inv_amount = "None"
else:
pass
else:
print("Wrong data in Templates.xlsx , row =" , x , "col = 6")
ux = input()
raw_cur = sheet.cell(row = x, column = 10).value
inv_currency = extract(raw_cur,ocr_inv)
elif(sheet.cell(row = x,column = 9).value == 0):
if(sheet.cell(row = x, column = 6).value == 0):
if(sheet.cell(row = x, column = 8).value == 1):
raw_amount = sheet.cell(row = x, column = 7).value
inv_am = amount_space_extract(raw_amount,ocr_inv)
inv_amount = inv_am[3:]
inv_currency = inv_am[:3]
elif(sheet.cell(row = x, column = 8).value == 0):
raw_amount = sheet.cell(row = x, column = 7).value
inv_am = extract(raw_amount,ocr_inv)
inv_amount = inv_am[3:]
inv_currency = inv_am[:3]
elif(sheet.cell(row = x, column = 6).value == 1):
raw_amount = sheet.cell(row = x, column = 7).value
inv_am = amount_words_extract(raw_amount,ocr_inv)
#print(inv_am)
amount = inv_am[3:]
inv_currency = inv_am[:3]
#print(amount)
inv_amount = w2n.word_to_num(amount)
if(amount == None):
inv_amount = "None"
else:
pass
else:
print("Wrong data in Templates.xlsx [row =" , x , "col = 6]")
ux = input()
else:
sep = sheet.cell(row = x,column = 9).value
raw_datax = sheet.cell(row = x, column = 7).value
raw_datax_ = extract(raw_datax,ocr_inv)
cur = raw_datax.split(sep,1)[0]
amount = raw_datax.split(sep,1)[1]
if(sheet.cell(row = x, column = 6).value == 0):
if(' ' in amount):
amount = amount.replace(' ','')
inv_amount = amount
inv_currency = cur
elif(sheet.cell(row = x, column = 6).value == 1):
amount_line = amount
if('only' in amount_line.lower()):
amount = amount_line[:amount_line.lower().index('only')-1]
inv_amount = w2n.word_to_num(amount)
inv_currency = cur
else:
print("Wrong data in Templates.xlsx [row =" , x , "col = 6]")
ux = input()
if(sheet.cell(row = x, column = 11).value == 1):
if(sheet.cell(row = x, column = 12).value == 1):
raw_rs = sheet.cell(row = x, column = 13).value
inv_rs = extract(raw_rs, ocr_inv)
raw_rs_date = sheet.cell(row = x,column = 14).value
inv_rs_date = extract(raw_rs_date,ocr_inv)
elif(sheet.cell(row = x, column = 12).value == 0):
inv_rs = "None"
inv_rs_date = "None"
else:
raw_rs = sheet.cell(row = x, column = 13).value
sep_rs = sheet.cell(row = x, column = 12).value
raw_rs_ = extract(raw_rs,ocr_inv)
inv_rs = raw_rs_.split(sep_rs,1)[0]
inv_rs_date = raw_rs.split(sep_rs,1)[1]
else:
inv_rs = "None"
inv_rs_date = "None"
else:
print("\nERROR: code!=list index")
ux = input()
return code,v_name,inv_no,inv_date,inv_amount,inv_currency,inv_rs,inv_rs_date
if __name__ == "__main__":
pytesseract.pytesseract.tesseract_cmd = r"C:\Program Files\Tesseract-OCR\\tesseract.exe"
warnings.filterwarnings("ignore")
useless_2 = glob.glob('CREATE TEMPLATE/cache/*')
for f in useless_2:
os.remove(f)
useless_3 = glob.glob('CREATE TEMPLATE/img/*')
for f in useless_3:
os.remove(f)
useless_4 = glob.glob('CREATE TEMPLATE/spdf/*')
for f in useless_4:
os.remove(f)
useless_5 = glob.glob('CREATE TEMPLATE/rimg/*')
for f in useless_5:
os.remove(f)
# parameter variables
root_dir = r"____INVOICE____(PDF)"
extract_to = r"CREATE TEMPLATE/spdf"
split_pdf_pages(root_dir, extract_to)
split_list = files_list('CREATE TEMPLATE\spdf')
for i in range(len(split_list)):
F = split_list[i]
Fname = 'CREATE TEMPLATE\spdf\\' + F
convert_pdf(Fname, 'CREATE TEMPLATE\img' ,300)
img_list = files_list('CREATE TEMPLATE\img')
img_rot(len(img_list),img_list)
rot_img_list = files_list('CREATE TEMPLATE/rimg')
check_duplicate(rot_img_list, 'CREATE TEMPLATE/rimg/')
rot_img_list = files_list('CREATE TEMPLATE/rimg')
ocr_out = []
for i in range(len(rot_img_list)):
F_OCR = rot_img_list[i]
FILE_OCR = 'CREATE TEMPLATE/rimg/' + F_OCR
output_of_ocr = ocr(FILE_OCR)
ocr_out.append(output_of_ocr)
#print(ocr_out[i])
v_name_list = names()
for i in range(len(v_name_list)):
if(v_name_list[i] != None):
v_name_list[i] = v_name_list[i].lower()
#print(v_name_list)
inv_count = 0
vendor_excel_refno = []
invoice_number = []
invoice_date = []
invoice_amount = []
invoice_currency = []
vendor_name = []
invoice_rs_no = []
invoice_rs_date = []
po_vcode = []
po_invparty = []
po_off_vess = []
po_place_port = []
po_eta = []
po_number = []
po_date = []
po_country = []
po_etd = []
po_currency = []
po_file = []
po_shipno = []
n= "None"
for i in range(len(rot_img_list)):
info = ocr_out[i]
length = len(info)
if((('sci contact person' in info.lower()) == True)):
po_file.append(rot_img_list[i])
po_line = []
for line in info.split('\n'):
po_line.append(line)
po_counter = 0
data = []
no_of_lines = len(po_line)
po = re.search(r"(\d{9,10}/\d{2}/\d{2}/\d{4})", info)
if(po == None):
po_name = '' + rot_img_list[i]
img = cv2.imread(po_name,0)
img = cv2.bitwise_not(img)
kernel_clean = numpy.ones((2,2),numpy.uint8)
cleaned = cv2.erode(img, kernel_clean, iterations=1)
kernel_line = numpy.ones((1, 5), numpy.uint8)
clean_lines = cv2.erode(cleaned, kernel_line, iterations=6)
clean_lines = cv2.dilate(clean_lines, kernel_line, iterations=6)
cleaned_img_without_lines = cleaned - clean_lines
cleaned_img_without_lines = cv2.bitwise_not(cleaned_img_without_lines)
clean_po = 'CREATE TEMPLATE\clean img cache\\' +rot_img_list[i]
cv2.imwrite(clean_po,cleaned_img_without_lines)
po_ocr = ocr(clean_po)
po_x = re.search(r"(\d{9,10}/\d{2}/\d{2}/\d{4})", po_ocr)
data = po_x.group(1).split('/')
po_number.append(data[0])
name = ''
name=name + data[1]+'/'+ data[2] + '/' + data [3]
po_date.append(name)
useless_files_x = glob.glob('CREATE TEMPLATE\clean img cache\*')
for f in useless_files_x:
os.remove(f)
else:
data = po.group(1).split('/')
po_number.append(data[0])
name = ''
name=name + data[1]+'/'+ data[2] + '/' + data [3]
po_date.append(name)
if(('vendor code' in info.lower()) != True):
po_vcode.append(n)
if(('invoicing party' in info.lower()) != True):
po_invparty.append(n)
if(('sci office/vessel' in info.lower()) != True):
po_off_vess.append(n)
if(('place/port' in info.lower()) != True):
po_place_port.append(n)
if(('eta :' in info.lower()) != True):
po_eta.append(n)
if(('country' in info.lower()) != True):
po_country.append(n)
if((('etd :' in info.lower()) != True) and (('etd:' in info.lower()) != True)):
po_etd.append(n)
if(('pr no ' in info.lower()) != True):
po_currency.append(n)
if('danaos pr no:-' not in info.lower()):
po_shipno.append(n)
for d in range(no_of_lines):
item = po_line[d]
if(('vendor code' in item.lower()) == True):
data=item.split()
po_vcode.append(data[3])
if(('invoicing party' in item.lower()) == True):
data = item.split()
po_invparty.append(data[-1])
if(('sci office/vessel' in item.lower()) == True):
if('country' not in item.lower()):
data=item[item.index(':')+2:]
else:
data = item[item.index(':')+2:item.lower().index('country')-1]
po_off_vess.append(data)
if(('place/port' in item.lower()) == True):
data = item.split()
flag1 = []
portname = ''
countryname = ''
for kk in range(len(data)):
if(data[kk] == ":"):
flag1.append(kk)
elif(data[kk].lower() == "country"):
flag2 = kk
elif(data[kk].lower() == "business"):
flag2 = kk
if((("country" in item.lower()) !=True) and ('business' not in item.lower())):
flag2 = len(data)
for kk in range((flag1[0]+1),flag2):
portname=portname + data[kk]+" "
po_place_port.append(portname)
if(('eta :' in item.lower()) == True):
data=item.split()
etaflag = []
for kk in range(len(data)):
if(data[kk] == ":"):
etaflag.append(kk)
po_eta.append(data[etaflag[0]+1])
if(('country :' in item.lower()) == True):
if(item.count(":") == 1):
data=item[item.index(':')+2:]
elif(item.count(":") == 2):
data = item[item.lower().index('country')+10:]
po_country.append(data)
if((('etd :' in item.lower()) == True) or (('etd:' in item.lower()) == True)):
data = item.split()
po_etd.append(data[-1])
if(('pr no ' in item.lower()) == True):
data = item.split()
po_currency.append(data[-1])
if('danaos pr no:-' in item.lower()):
raw = item.split()
data = raw[2]
po_shipno.append(data[4:8])
po_counter+=1
elif(("sci contact person" not in info.lower()) and (("invoice" in info.lower()) or ("bill" in info.lower()))):
info = info.lower()
v_name = matching(v_name_list,info)
a,b,c,d,e,f,g,h = inv_decode(rot_img_list[i],v_name,info)
vendor_excel_refno.append(a)
vendor_name.append(b)
invoice_number.append(c)
invoice_date.append(d)
invoice_amount.append(e)
invoice_currency.append(f)
invoice_rs_no.append(g)
invoice_rs_date.append(h)
inv_count+=1
for i in range(len(po_file)):
if(po_currency[i]== "None"):
file_name = po_file[i]
file_n = "____INVOICE____(PDF)\\" + file_name[:-8] + ".pdf"
pgnum = PdfFileReader(open(file_n, "rb")).getNumPages()
image_name = po_file[i]
for j in range(pgnum):
image_name = image_name[:-7] + str(j) + "-0.jpg"
index = rot_img_list.index(image_name)
data = ocr_out[index]
if(('including tax in' in data.lower()) == True):
datax = data[data.lower().index("including tax in")+17: data.lower().index("including tax in")+20]
else:
continue
po_currency[i] = datax
if(po_shipno[i] == "None"):
for d in range(len(po_line)):
item = po_line[d]
if('no:-' in item.lower()):
raw = item[item.lower().index('no:-')+4:8]
po_shipno[i] = raw
if(inv_count>0):
for i in range(inv_count):
print("\nVENDOR NAME:\t", vendor_name[i], "\nINVOICE NO:\t", invoice_number[i], "\nINVOICE DATE:\t", invoice_date[i], "\nAMOUNT: \t", invoice_amount[i])
print("CURRENCY:\t", invoice_currency[i], "\nRS NUMBER:\t", invoice_rs_no[i], "\nRS DATE: \t", invoice_rs_date[i])
if(len(po_file)>0):
print("\n\n\nPO\n")
for i in range(len(po_file)):
print("\n\n\nPO FILE:",po_file[i],"\n\nPO number:\t",po_number[i],"\nPO date:\t",po_date[i],"\nVendor Code:\t", po_vcode[i],"\nInvoice Party:\t", po_invparty[i],"\nVessel Code:\t", po_shipno[i], "\nVessel Name:\t",po_off_vess[i],"\nPort:\t\t",po_place_port[i],"\nETA:\t\t",po_eta[i],"\nPO country:\t",po_country[i],"\nPO etd:\t\t",po_etd[i],"\nPO currency:\t",po_currency[i])
inv_info = []
po_info = []
if(inv_count>0):
for i in range(inv_count):
i_data = [vendor_name[i],invoice_number[i],invoice_date[i],invoice_amount[i],invoice_currency[i],invoice_rs_no[i],invoice_rs_date[i]]
inv_info.append(i_data)
if(len(po_file)>0):
for i in range(len(po_file)):
p_data = [po_number[i],po_date[i],po_vcode[i],po_invparty[i],po_off_vess[i],po_place_port[i],po_eta[i],po_country[i],po_etd[i],po_currency[i]]
po_info.append(p_data)
url = get_url()
internet = check_connection()
if(internet == True):
if(len(po_file) == 0):
if(inv_count == 1):
payload = inv_info[0]
r = requests.post(url, params = None,json = payload)
elif(inv_count>1):
payload = inv_info[0]
for i in range(1,inv_count):
payload = payload + inv_info[i]
r = requests.post(url,params = None, json = payload)
elif((len(po_file) == 1) and (inv_count == 1)):
payload = inv_info[0] + po_info[0]
r = requests.post(url, params = None,json = payload)
elif((len(po_file) == 1) and (inv_count == 0)):
payload = po_info[0]
r = requests.post(url, params = None,json = payload)
else:
print("\n\n\t.................ERROR: NO CONNECTION.................")
uxx = input()