diff --git a/convert_to_csv_pandas.py b/convert_to_csv_pandas.py
new file mode 100644
index 0000000..f5f781b
--- /dev/null
+++ b/convert_to_csv_pandas.py
@@ -0,0 +1,146 @@
+import pandas as pd
+import os
+import logging
+import argparse
+from urllib.parse import urlparse, urlunparse
+
+class PwSafeProcessor:
+    def __init__(self, input_file_path, output_dir):
+        self.input_file_path = input_file_path
+        self.output_dir = output_dir
+        self.output_file_path = os.path.join(output_dir, 'output.csv')
+        self.output_table_file_path = os.path.join(output_dir, 'output_table.txt')
+        
+        # Initialize logging
+        logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
+        
+        if not os.path.exists(output_dir):
+            os.makedirs(output_dir)
+        
+        self.cleanup_output_files()
+        self.df = self.load_input_file()
+
+    def cleanup_output_files(self):
+        for file_path in [self.output_file_path, self.output_table_file_path]:
+            if os.path.exists(file_path):
+                os.remove(file_path)
+                logging.info(f"Deleted previous file: {file_path}")
+
+    def load_input_file(self):
+        try:
+            df = pd.read_csv(self.input_file_path, sep='\t', na_values=[""]).fillna("")
+            logging.info(f"Loaded input file: {self.input_file_path}")
+            return df
+        except Exception as e:
+            logging.error(f"Error loading input file: {e}")
+            raise
+
+    def process_data(self):
+        try:
+            # Drop unnecessary columns and rename 'Group/Title' to 'Title'
+            self.df = self.df.drop(columns=[
+                'Created Time', 'Password Modified Time', 'Record Modified Time', 
+                'Password Policy', 'Password Policy Name', 'History', 'Symbols'
+            ]).rename(columns={'Group/Title': 'Title'})
+
+            # Remove completely empty rows
+            self.df = self.df.dropna(how='all')
+
+            # Process each row for the necessary transformations
+            self.df = self.df.apply(self.process_row, axis=1)
+
+            # Remove invalid URLs and rows where both Username and Notes are empty
+            self.df = self.df[self.df['URL'].notna()]
+            self.df = self.df[~((self.df['Username'] == '') & (self.df['Notes'] == ''))]
+
+            logging.info("Data processing completed.")
+        except Exception as e:
+            logging.error(f"Error processing data: {e}")
+            raise
+
+    def process_row(self, row):
+        try:
+            # Update Title values
+            row['Title'] = row['Title'].split('.')[-1].strip()
+
+            # Replace missing Username with e-mail if e-mail is available
+            if row['Username'] == '' and row['e-mail'] != '':
+                row['Username'] = row['e-mail']
+
+            # Add e-mail to Notes if both Username and e-mail are present and e-mail is not in Username
+            if row['Username'] != row['e-mail'] and row['e-mail'] != '':
+                row['Notes'] = (row['Notes'] + ('; ' if row['Notes'] else '') + 'email - ' + row['e-mail']).strip()
+
+            # Create URL value using the Title followed by ".com"
+            if row['URL'] == '':
+                row['URL'] = row['Title'].replace(" ", "") + '.com'
+            else:
+                row['URL'] = row['URL'].replace(" ", "")
+
+            # Validate and fix URLs
+            row['URL'] = self.validate_url(row['URL'])
+
+            return row
+        except Exception as e:
+            logging.error(f"Error processing row: {e}")
+            return row
+
+    def validate_url(self, url):
+        try:
+            parsed_url = urlparse(url)
+            if not parsed_url.scheme:
+                parsed_url = parsed_url._replace(scheme="https")
+            if not parsed_url.netloc:
+                parsed_url = parsed_url._replace(netloc=parsed_url.path, path="")
+            valid_url = urlunparse(parsed_url).lower()
+
+            parsed_valid_url = urlparse(valid_url)
+            if parsed_valid_url.scheme and parsed_valid_url.netloc:
+                return valid_url
+            return None
+        except Exception as e:
+            logging.error(f"Error validating URL: {e}")
+            return None
+
+    def drop_email_column(self):
+        self.df = self.df.drop(columns=['e-mail'])
+        logging.info("Dropped e-mail column.")
+
+    def save_output_files(self):
+        try:
+            self.df.to_csv(self.output_file_path, index=False)
+            logging.info(f"File has been converted to CSV and saved as {self.output_file_path}")
+
+            with open(self.output_table_file_path, 'w') as file:
+                file.write(self.df.to_string(index=False))
+            logging.info(f"Main CSV file table has been saved as {self.output_table_file_path}")
+        except Exception as e:
+            logging.error(f"Error saving output files: {e}")
+            raise
+
+    def run(self):
+        try:
+            self.process_data()
+            self.drop_email_column()
+            self.save_output_files()
+        except Exception as e:
+            logging.error(f"Error in run: {e}")
+            raise
+
+def main():
+    parser = argparse.ArgumentParser(description="Process pwsafe data")
+    parser.add_argument("--input", type=str, default=os.path.join(os.getcwd(), 'pwsafe.txt'), help="Input file path")
+    parser.add_argument("--output", type=str, default=os.path.join(os.getcwd(), 'output'), help="Output directory path")
+    args = parser.parse_args()
+
+    input_file_path = args.input
+    output_dir = args.output
+
+    if not os.path.exists(output_dir):
+        os.makedirs(output_dir)
+
+    processor = PwSafeProcessor(input_file_path, output_dir)
+    processor.run()
+
+if __name__ == "__main__":
+    main()
\ No newline at end of file
diff --git a/requirements.txt b/requirements.txt
new file mode 100644
index 0000000..9599340
--- /dev/null
+++ b/requirements.txt
@@ -0,0 +1,2 @@
+pandas==1.5.3
+numpy==1.24.3
\ No newline at end of file