When you’re collaborating on a Microsoft Word document, tracked changes and comments are essential tools. However, when it's time to share those files outside your team, another concern often arises: the names behind every comment and edit are embedded directly within the document.

There are times when anonymity is important. Whether you’re simplifying client reviews, preparing materials for a broader audience, or just removing unnecessary distractions, Word doesn't make it easy to cleanly strip names without accepting all changes or removing valuable context.

To solve that problem, I created AnonymizeReviewer, a lightweight Python script that lets you anonymize Word files while preserving everything that matters.

Microsoft Word includes a feature called “Remove personal information on save.” While helpful in theory, it behaves inconsistently depending on your version and settings. It also doesn’t catch all the places author names can appear.

Here are some of the areas where Word stores author names:

Manually scrubbing each of these is time-consuming and prone to error. It’s easy to miss something. That’s why I built a more dependable solution.

AnonymizeReviewer reads the .docx file as a zip archive, scans its internal XML files, and replaces all instances of the original author name with a placeholder or alternate name of your choosing. It does this without altering the tracked changes or comments themselves.

Key features include:

First, clone the repository and install the Python dependency:

To run in interactive mode with file picker prompts:

To run with arguments:

To batch-process all .docx files in a folder:

Files that already end in “ - Anonymized.docx” will be skipped automatically to avoid duplication.

This tool originated from a real-world use case. I needed a way to hand off tracked-change documents for client review without exposing internal names. Word did not provide a clean solution, and most online options were either unreliable or required uploading sensitive files.

By targeting the actual structure of a .docx file and addressing all areas where names can be stored, AnonymizeReviewer fills that gap, giving you control over what you share.

The project is available on GitHub at https://github.com/gregvarghese/AnonymizeReviewer

Pull requests and feedback are welcome. If you have ideas for additional features, such as redacting specific comment content or cleaning embedded metadata beyond names, I would love to hear them.

This project is licensed under the MIT License.

The software is provided as is, without warranty of any kind, express or implied, including but not limited to the warranties of merchantability, fitness for a particular purpose, and noninfringement.