Skip to content

PDF Encryption Tool is a secure solution for encrypting sensitive PDF documents using AES-256 encryption standard. The tool provides automatic masking of sensitive data like names, phone numbers, and email addresses, ensuring data protection compliance while maintaining ease of use.

Notifications You must be signed in to change notification settings

PatrykIA/Encryption_tool

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

PDF Encryption Tool

A secure PDF encryption tool utilizing the AES-256 encryption algorithm.

Features

- Convert PDF to text
- Mask sensitive data (names, phone numbers, email addresses)
- Encrypt files using AES-256
- Automatically delete source files after processing
- Ensure compliance with data protection regulations

Requirements

- Python 3.x
- Dependencies from `requirements.txt`

Installation

  1. Clone the repository:
    git clone https://github.com/PatrykIA/encryption_tool.git
    cd encryption_tool

Install the required dependencies: pip install -r requirements.txt

Usage

Place your PDF file in the input/ directory.
Run the encryption script:
python encrypt.py
Encrypted files will be saved in the output/ directory.
Security Features

AES-256 encryption standard Secure key management Automatic deletion of source files Data masking for sensitive information

Project Structure

pdf-encryption-tool/
├── README.md
├── requirements.txt
├── encrypt.py
├── input/
└── output/

Security Notice

This tool implements industry-standard encryption methods. However, ensure compliance with local data protection regulations when handling sensitive information.

Author

Patryk Rogowski / PatrykIA

Disclaimer

This tool is provided "as is" without any warranties. Use it at your own risk.

About

PDF Encryption Tool is a secure solution for encrypting sensitive PDF documents using AES-256 encryption standard. The tool provides automatic masking of sensitive data like names, phone numbers, and email addresses, ensuring data protection compliance while maintaining ease of use.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages