nikhilweee · June 11, 2024 10:23 · pushkaryadav · Apr 7, 2021 · nikhilweee · Apr 7, 2021
diff --git a/statement-to-excel.py b/statement-to-excel.py
 # This script is designed to convert bank statements from pdf to excel.
 #
 # It has been tweaked on HDFC Bank Credit Card statements,
 # but in theory you can use it on any PDF document.
 #
 # The script depends on camelot-py,
 # which can be installed using pip
 #
 # pip install "camelot-py[cv]"


 import os
 import argparse
 import camelot
 import pandas as pd
 from collections import defaultdict


 def extract_df(path, password=None):
    # The default values from pdfminer are M = 2.0, W = 0.1 and L = 0.5
    laparams = {'char_margin': 2.0, 'word_margin': 0.2, 'line_margin': 1.0}

    # Extract all tables using the lattice algorithm
    lattice_tables = camelot.read_pdf(path, password=password, 
        pages='all', flavor='lattice', line_scale=50, layout_kwargs=laparams)

    # Extract bounding boxes
    regions = defaultdict(list)
    for table in lattice_tables:
        bbox = [table._bbox[i] for i in [0, 3, 2, 1]]
        regions[table.page].append(bbox)

    df = pd.DataFrame()

    # Extract tables using the stream algorithm
    for page, boxes in regions.items():
        areas = [','.join([str(int(x)) for x in box]) for box in boxes]
        stream_tables = camelot.read_pdf(path, password=password, pages=str(page),
            flavor='stream', table_areas=areas, row_tol=5, layout_kwargs=laparams)
        dataframes = [table.df for table in stream_tables]
        dataframes = pd.concat(dataframes)
        df = df.append(dataframes)
    
    return df


 def main(args):
    for file_name in os.listdir(args.in_dir):
        root, ext = os.path.splitext(file_name)
        if ext.lower() != '.pdf':
            continue
        pdf_path = os.path.join(args.in_dir, file_name)
        print(f'Processing: {pdf_path}')
        df = extract_df(pdf_path, args.password)
        excel_name = root + '.xlsx'
        excel_path = os.path.join(args.out_dir, excel_name)
        df.to_excel(excel_path)
        print(f'Processed : {excel_path}')
        

 if __name__ == '__main__':
    parser = argparse.ArgumentParser()
    parser.add_argument('--in-dir', type=str, required=True, help='directory to read statement PDFs from.')
    parser.add_argument('--out-dir', type=str, required=True, help='directory to store statement XLSX to.')
    parser.add_argument('--password', type=str, default=None, help='password for the statement PDF.')
    args = parser.parse_args()

    main(args)
	# This script is designed to convert bank statements from pdf to excel.
	#
	# It has been tweaked on HDFC Bank Credit Card statements,
	# but in theory you can use it on any PDF document.
	#
	# The script depends on camelot-py,
	# which can be installed using pip
	#
	# pip install "camelot-py[cv]"


	import os
	import argparse
	import camelot
	import pandas as pd
	from collections import defaultdict


	def extract_df(path, password=None):
	# The default values from pdfminer are M = 2.0, W = 0.1 and L = 0.5
	laparams = {'char_margin': 2.0, 'word_margin': 0.2, 'line_margin': 1.0}

	# Extract all tables using the lattice algorithm
	lattice_tables = camelot.read_pdf(path, password=password,
	pages='all', flavor='lattice', line_scale=50, layout_kwargs=laparams)

	# Extract bounding boxes
	regions = defaultdict(list)
	for table in lattice_tables:
	bbox = [table._bbox[i] for i in [0, 3, 2, 1]]
	regions[table.page].append(bbox)

	df = pd.DataFrame()

	# Extract tables using the stream algorithm
	for page, boxes in regions.items():
	areas = [','.join([str(int(x)) for x in box]) for box in boxes]
	stream_tables = camelot.read_pdf(path, password=password, pages=str(page),
	flavor='stream', table_areas=areas, row_tol=5, layout_kwargs=laparams)
	dataframes = [table.df for table in stream_tables]
	dataframes = pd.concat(dataframes)
	df = df.append(dataframes)

	return df


	def main(args):
	for file_name in os.listdir(args.in_dir):
	root, ext = os.path.splitext(file_name)
	if ext.lower() != '.pdf':
	continue
	pdf_path = os.path.join(args.in_dir, file_name)
	print(f'Processing: {pdf_path}')
	df = extract_df(pdf_path, args.password)
	excel_name = root + '.xlsx'
	excel_path = os.path.join(args.out_dir, excel_name)
	df.to_excel(excel_path)
	print(f'Processed : {excel_path}')


	if __name__ == '__main__':
	parser = argparse.ArgumentParser()
	parser.add_argument('--in-dir', type=str, required=True, help='directory to read statement PDFs from.')
	parser.add_argument('--out-dir', type=str, required=True, help='directory to store statement XLSX to.')
	parser.add_argument('--password', type=str, default=None, help='password for the statement PDF.')
	args = parser.parse_args()

	main(args)