Remove Comments from DOCM Document Online or via Python

Develop powerful Python based DOCM document annotation utility application. Code listed for clearing comments from DOCM file through Python.

Clear DOCM Annotations Online

  1. Import DOCM file to clear comments by uploading it.
  2. Do it by clicking inside the drop area via drag and drop of annotation app.
  3. Depending on the size of DOCM file and internet speed wait for few seconds.
  4. Click the 'Remove' button to delete comments.
  5. Download the file instantly.

Remove DOCM Document Comments via Python

  1. Reference APIs within the project directly from PyPI (Aspose.Words).
  2. Create Document class object or load file via this object.
  3. Get all comments from the all nodes by using get_child_nodes.
  4. Invoke the clear() method to delete all comments.
  5. Call the save method to save the document.

Code example in Python to remove comments from DOCM document

Develop DOCM Document Annotation Application via Python

Need to develop a DOCM annotation app or utility? With Aspose.Words for Python via .NET, a child API of Aspose.Total for Python via .NET, any python developer can integrate the above API code within its document annotation application.

Powerful Python library allows programming any document annotation solution. Moreover it can support many popular formats including DOCM format.

Python Utility to Annotate DOCM Files

There are alternative options to install “Aspose.Words for Python via .NET” or “Aspose.Total for Python via .NET” onto your system. Please choose one that resembles your needs and follow the step-by-step instructions:
  • Install Aspose.Words for Python via .NET from PyPI
  • Or use the following pip command: pip install aspose.words

System Requirements

  • Python 3.5 or later is installed
  • GCC-6 runtime libraries (or later)
  • Dependencies of .NET Core Runtime (installing .NET Core Runtime itself is NOT required)
  • For Python 3.5–3.7: the pymalloc build of Python is needed

DOCM annotation allows adding notes, highlights, and metadata to macro-enabled Word documents, supporting workflows that require dynamic scripting or embedded automation. This helps users document logic, track changes, and maintain clarity around macro behaviors.

By annotating DOCM files programmatically, automation systems can monitor macro usage, enhance documentation consistency, and streamline validation processes.

Key Use Cases

  • Macro Documentation — Label and describe macro-driven actions inside the document.
  • Compliance Tracking — Add notes confirming required scripts or validations.
  • Change Logging — Highlight macro-related updates for visibility.

Automation Scenarios

  • Macro Scan and Annotate — Automatically insert comments describing detected macro functions.
  • Dynamic Compliance Reports — Populate annotations when macros meet or fail certain checks.
  • Script-Based Review Tools — Use Python to apply structured annotation at scale.

FAQs

  • Can I use above Python code in my application?
    Yes, you are welcome to download this code and utilize it for the purpose of developing Python-based document annotation application. This code can serve as a valuable resource to enhance the functionality and capabilities of your projects in the domain of backend document processing and manipulation.
  • Is this online document annotation app work only on Windows?
    You have the flexibility to initiate document annotation for comments removal at any device, irrespective of the operating system it runs on, whether it be Windows, Linux, Mac OS, or Android. All that’s required is a contemporary web browser and an active internet connection.
  • Is it safe to use the online app to annotate DOCM document?
    Of course! The output files generated through our service will be securely and automatically removed from our servers within a 24-hour timeframe. As a result, the display links associated with these files will cease to be functional after this period.
  • What browser should to use App?
    You can use any modern web browser like Google Chrome, Firefox, Opera, or Safari for online DOCM document annotation. However, if you’re developing a desktop application, we recommend using the Aspose.Total document processing API for efficient management.
FAQs