expense-statement-parser 0.1.1

Parse financial statements (bank, credit card, UPI) to normalized Excel/CSV format

Statement Parser

A standalone library for parsing financial statements (bank, credit card, UPI) and converting them to normalized Excel/CSV formats.

Features

• Pattern-based parsing - Uses regex patterns, not AI (AI can be added as fallback)
• Multiple statement types - Supports bank statements, credit cards, and UPI payments
• Adaptive learning - Learns patterns from statements for better parsing
• Normalized output - Standardizes dates, amounts, and descriptions
• Multiple export formats - Excel (XLSX), CSV, and JSON

Installation

pip install statement-parser

Or from source:

git clone https://github.com/your-org/statement-parser.git
cd statement-parser
pip install -e .

Usage

Basic Usage

from statement_parser import StatementParser

parser = StatementParser()

# Parse a PDF file
result = parser.parse_file("statement.pdf")

# Access transactions
for tx in result.transactions:
    print(f"{tx['date']}: {tx['description']} - ₹{tx['amount']}")

# Export to Excel
result.to_excel("output.xlsx")

# Get summary
summary = result.get_summary()
print(f"Total transactions: {summary['total_transactions']}")
print(f"Total credits: ₹{summary['total_credits']}")
print(f"Total debits: ₹{summary['total_debits']}")

Command Line Interface

# Parse a single file (outputs Excel by default)
python -m statement_parser examples statement.pdf

# Parse multiple files
python -m statement_parser examples *.pdf

# Output to CSV instead of Excel
python -m statement_parser examples -f csv statement.pdf

# Specify output directory
python -m statement_parser examples -o ./output *.pdf

# Show help
python -m statement_parser --help

Programmatic Usage

from statement_parser import StatementParser, ParseOptions

# Customize options
options = ParseOptions(
    output_format='csv',
    output_dir='./output',
    normalize=True,
    deduplicate=True
)

parser = StatementParser(options)
result = parser.parse_file("statement.pdf")

Supported Statement Types

Bank Statements

• HDFC Bank (fixed-width and CSV formats)
• ICICI Bank
• SBI
• Other banks with standard formats

Credit Card Statements

• HDFC Credit Card
• ICICI Credit Card (including Amazon ICICI)
• SBI Credit Card
• AU Bank Credit Card
• Other credit cards

UPI/Third-party Statements

• Ixigo
• AU Bank (via UPI)
• PhonePe
• Google Pay
• Other UPI-based platforms

Output Schema

Bank Statements

Column	Description
Date	Transaction date (DD/MM/YYYY)
Narration	Transaction description
Value Date	Value date
Debit	Debit amount
Credit	Credit amount
Balance	Running balance
Reference	Reference number

Credit Card Statements

Column	Description
Date	Transaction date
Merchant	Merchant name
Amount	Transaction amount
Type	Debit/Credit
Card No	Card number
Reference	Reference number

UPI Statements

Column	Description
Date	Transaction date
Merchant	Merchant/Payee name
Amount	Transaction amount
Type	Debit/Credit
Reference	Reference number
UPI Ref	UPI transaction ID

Directory Structure

statement-parser/
├── statement_parser/
│   ├── __init__.py          # Package initialization
│   ├── parser.py            # Main entry point
│   ├── detector.py          # Statement type detection
│   ├── formats/
│   │   ├── __init__.py
│   │   ├── base.py          # Base parser class
│   │   ├── generic_parser.py  # Generic parser (no AI)
│   │   ├── bank_statement.py  # Bank statements
│   │   ├── credit_card.py     # Credit card statements
│   │   └── upi_statement.py   # UPI statements
│   ├── patterns/
│   │   ├── generic.py       # Generic patterns
│   │   ├── hdfc.py          # HDFC patterns
│   │   ├── icici.py         # ICICI patterns
│   │   └── sbi.py           # SBI patterns
│   └── utils/
│       ├── formatting.py    # Number/date normalization
│       └── validation.py    # Output validation
├── tests/
│   ├── test_parser.py
│   └── test_statements/
├── examples/
│   └── cli.py               # CLI tool
├── docs/
│   ├── README.md            # Jupyter examples overview
│   ├── API.md               # API documentation
│   ├── USAGE.md             # Usage examples
│   └── examples/            # Jupyter notebooks
├── pyproject.toml
└── README.md

Development

# Run tests
pytest tests/

# Run tests with coverage
pytest --cov=statement_parser tests/

# Run linter
ruff check .

Documentation

• API Documentation - Complete API reference
• Usage Guide - Detailed usage examples
• Jupyter Notebooks - Interactive examples

License

MIT License