Metasift

Metasift is a metadata extraction tool, and .docx password protection remover.

Soon to have support for cleaning metadata.

Python v3.10.7

LIMITED FEATURES: This app currently has limited features and only supports .docx files at the moment. It will be expanded in the future to include more filetypes. My current focus is on implementing .docx metadata cleaning.

Features

✅ - Extract metadata from .docx files
✅ - Remove password protection from .docx files
✅ - Batch processing

Password Protection Removal

When removing passwords from .docx files, Metasift will not modify the original file in order to prevent any potential for corruption. It will instead create a new /unlocked-documents directory where it will store a separate unlocked version.

Quickstart

Installation

Clone the repository:

git clone https://github.com/nronzel/metasift.git

Navigate to the project directory:

cd metasift

Dependencies

None! Only utilizes Python's standard library. 😎

Usage

Run Metasift by running the main.py file:

python main.py

or

python3 main.py

Input

Metasift accepts either a filename:

test.docx

or a directory path (relative or absolute):

.
./
/path/to/directory

If a directory path is supplied, it will crawl that directory only without going into subfolders, and get all of the supported filetypes and attempt to extract the metadata.

Compatability

This program was built and tested on Linux. It should work on any POSIX based systems such as Unix, Linux, MacOS, BSD, etc.

I have added some logic for checking for Windows filepaths, however I have not tested it on a Windows machine to verify everything works. There may also be issues with the ANSI color codes in your terminal on Windows as I believe ANSI codes are disabled by default.

Testing

You can run the provided unit tests with:

python tests.py -v

Future Roadmap

• re-write to use classes for better maintainability
• password protection removal for .docx files
• directory support for batch processing
• .docx metadata cleaning
• .pdf file support
• Option to export metadata to CSV
• EXIF data support
• Metadata cleaning of other filetypes as implemented