Unlocking the Power of Bank Statement Parsing with Okane

In today’s fast-paced financial world, the ability to efficiently analyze bank statements is crucial for individuals and businesses alike. That’s where Okane, a pure Python parser, comes in. With its support for camt.053 XML format commonly used by the Czech Banking Association (ČBA), Okane simplifies the process of extracting valuable information from bank statements. In this article, we’ll dive into the features, installation, and practical examples of Okane’s Python API and command-line interface.

Streamlined Installation and Setup

Getting started with Okane is a breeze. Simply install Okane using pip and you’re ready to go. For basic parsing functionality, run:

pip install okane

If you wish to leverage advanced features such as CSV and XLSX export and access data as a pd.DataFrame, use the following command:

pip install okane[pandas]

With Okane installed, you have the power to unlock unprecedented insights from bank statements.

Python API: A Gateway to Financial Analysis

Okane’s Python API enables developers and data analysts to effortlessly extract and manipulate data from bank statements. Let’s take a look at a practical example:

“`python
import okane

Parse the camt.053 XML file

statement = okane.BankToCustomerStatement.from_file(“./path/to/bank_statement.xml”)

Access opening balance

opening_balance = statement.opening_balance

Retrieve transaction details

transaction_amount = statement.transactions[5].amount
transaction_currency = statement.transactions[5].currency
transaction_related_account_id = statement.transactions[5].related_account_id
transaction_related_account_bank_id = statement.transactions[5].related_account_bank_id

Convert statement to a pandas DataFrame

df = statement.as_dataframe()
“`
In just a few lines of code, you can access various elements of a bank statement, allowing for seamless analysis and exploration of financial data. The integration with pandas enables effortless data manipulation and visualization.

Command-Line Interface: Streamlining Data Conversion

Okane’s command-line interface (CLI) provides a user-friendly way to convert camt.053 XML files into JSON, CSV, or XLSX formats. Here’s a quick example of converting XML files to JSON:

okane ./path/to/bank_statement.xml -f json -o output.json

The CLI supports multiple files processing, allowing you to handle large numbers of bank statements efficiently. With Okane’s CLI, you can easily transform raw bank statement data into structured formats that are ready for further analysis or integration with other systems.

Empowering Financial Analysis with Okane

Okane offers a range of features that enhance financial analysis and decision-making. Its advanced modeling capabilities, like the AccountId and BankId models for handling IBAN and BIC codes, ensure accurate and meaningful representation of bank statement data. Additionally, the TransactionRef model stores essential transaction references, such as end-to-end ID.

The recent upgrade to Pydantic version 2.5 demonstrates Okane’s commitment to leveraging cutting-edge technologies and ensuring a seamless user experience.

Embracing the Future: The Roadmap of Okane

As Okane gains popularity and evolves, its development team has exciting plans for the future. Some of the planned developments include:

• Enhanced support for additional dialects of camt.053 XML format
• Integration with data analysis and visualization libraries
• Advanced anomaly detection algorithms to identify suspicious transactions
• Seamless integration with accounting and financial management systems

These future improvements will further solidify Okane’s position as an essential tool for financial data analysis and decision-making.

Conclusion

Okane sets a new standard in bank statement parsing with its user-friendly Python API and command-line interface. Its ability to extract valuable information from camt.053 XML files empowers individuals and businesses to perform detailed financial analysis effortlessly. By bridging the gap between raw bank statement data and actionable insights, Okane revolutionizes the way we approach financial data analysis. Embrace this innovative technology today and unlock the full potential of your bank statements with Okane.

License

Okane is licensed under the MIT License. For more information, consult the LICENSE.txt file.

Changelog

0.2.0

• Added AccountId, BankId models to handle IBAN/BIC codes
• Added TransactionRef model to store transaction references, eg. end-to-end reference
• Pandas integration: BankToCustomerStatement.as_dataframe()
• Pandas integration: Okane CLI tool can merge multiple input XMLs into one CSV/XLSX
• Upgraded Pydantic version from 1.10 to 2.5

0.1.0

• Initial release

In this comprehensive article, we’ll explore how Okane, a pure Python parser, revolutionizes the analysis of bank statements in camt.053 XML format. We’ll delve into its installation, Python API, command-line interface, and future roadmap, demonstrating how it empowers individuals and businesses to perform detailed financial analysis effortlessly. With Okane, unlocking the power of bank statement parsing has never been easier.