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Parse Indian bank PDF statements (HDFC, SBI, Yes Bank, RBL, IndusInd, One, Standard Chartered) into structured transaction data.

Project description

Bank Statement Parser

A web application that parses Indian bank statement PDFs into structured Excel sheets.

Deploy to Render (One Click)

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Supported Banks

  • SBI Bank & Credit Card
  • HDFC Bank & Credit Card
  • Yes Bank & Credit Card
  • IndusInd Credit Card
  • RBL Bank & Credit Card
  • Standard Chartered Bank
  • One Card Credit Card

Features

  • Upload PDF bank statements (with optional password for protected files)
  • Auto-detects bank type using IFSC codes and keywords
  • Extracts all transactions with: Serial Number, Date, Description, Debit, Credit, Running Balance, Ledger
  • Download parsed data as styled Excel (.xlsx) files
  • Smart ledger categorization (Transfer, Food & Dining, Utilities, etc.)

Quick Start

# Clone the repo
git clone https://github.com/YOUR_USERNAME/bank-statement-parser.git
cd bank-statement-parser

# Create virtual environment
python -m venv .venv
.venv\Scripts\activate  # Windows
# source .venv/bin/activate  # Linux/Mac

# Install dependencies
pip install -r requirements.txt

# Run the app
python app.py

Then open http://127.0.0.1:5000 in your browser.

How It Works

  1. Upload a bank statement PDF
  2. The app auto-detects the bank type
  3. Transactions are extracted and displayed in a table
  4. Click "Download Excel" to get a styled spreadsheet

Tech Stack

  • Backend: Python, Flask, pdfplumber
  • Frontend: HTML/CSS/JavaScript
  • Excel Export: openpyxl

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