Metadata-Version: 2.4
Name: statement_parser
Version: 0.0.15
Summary: Bank Statement Parser is a Python library designed to parse and normalize transaction data from various bank statement formats ( CSV, Excel, etc.) into a consistent and easy-to-use Pandas DataFrame. It supports multiple banks and file formats, making it a versatile tool for financial data analysis.
Author-email: Khuzema Challawala <khuzema.ac@gmail.com>
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License (GPL)
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pandas>=2.2.3
Requires-Dist: numpy>=2.0.2
Requires-Dist: xlrd>=2.0.1
Requires-Dist: openpyxl>=3.1.5
Requires-Dist: python-dateutil>=2.8.2
Provides-Extra: dev
Requires-Dist: pytest>=8.3.4; extra == "dev"
Requires-Dist: pytest-cov>=6.0.0; extra == "dev"
Requires-Dist: flake8>=7.1.2; extra == "dev"
Requires-Dist: sphinx; extra == "dev"
Dynamic: license-file

# Bank Statement Parser

![Python Version](https://img.shields.io/badge/python-3.7%2B-blue)
![License](https://img.shields.io/badge/license-MIT-green)
![PyPI Version](https://img.shields.io/pypi/v/bank-statement-parser)

**Bank Statement Parser** is a Python library designed to parse and normalize transaction data from various bank statement formats ( CSV, Excel, etc.) into a consistent and easy-to-use Pandas DataFrame. It supports multiple banks and file formats, making it a versatile tool for financial data analysis.

---

## Features

- **Multi-Format Support**: Parse bank statements from  CSV, Excel, and more.
- **Bank-Specific Parsing**: Customizable parsers for different banks.
- **Consistent Output**: Normalized transaction data with standardized columns (`Date`, `Description`, `Amount`,  etc.).
- **Easy Integration**: Simple API for quick integration into your Python projects.
- **Extensible**: Add support for new banks or formats with minimal effort.

---

## Installation

You can install the library via pip:

```bash
pip install statement_parser
```


# Usage
### Basic Example

```python
from statement_parser.banks.HdfcCredit import HdfcCredit

parser = HsbcCredit()
df = parser.getDataFrame("path/to/statement.csv")
# Display the parsed transactions
print(df.head())
```
