Create extract.py

extract.py

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+import pdfplumber
+import pandas as pd
+import re
+
+def extract_upi_transactions(pdf_path):
+    transactions = []
+    
+    with pdfplumber.open(pdf_path) as pdf:
+        for page in pdf.pages:
+            text = page.extract_text()
+            if text:
+                lines = text.split("\n")
+                for line in lines:
+                    match = re.search(r'(\d{2}-\d{2}-\d{4})\s+([\w\s]+)\s+₹([\d,.]+)', line)
+                    if match:
+                        date, description, amount = match.groups()
+                        transactions.append({"Date": date, "Description": description, "Amount": float(amount.replace(",", ""))})
+    
+    return pd.DataFrame(transactions)