GroupDocs.Redaction for Python via .NET Overview Leave feedback

GroupDocs.Redaction for Python via .NET is a native Python library that permanently removes or obscures sensitive content from documents — across PDF, Microsoft Word, Excel, PowerPoint, and image formats — through a single, format-independent API. It runs entirely on-premise, requires no Microsoft Office or Adobe Acrobat installation, and ships as a pre-built wheel on Windows, Linux, and macOS.

Typical uses include:

• PII / PHI removal — strip names, SSNs, emails, and other personal data from a document before it is shared, published, or archived (GDPR, HIPAA, CCPA).
• Legal & e-discovery redaction — black out privileged phrases and annotations across every page of a production set.
• Metadata sanitization — erase or rewrite author, company, and other hidden metadata that leaks information.
• Irreversible redaction — rasterize the cleaned document to a PDF so the removed content can never be recovered.
• Policy-driven batch redaction — define a reusable set of redaction rules once and apply it across many documents in a pipeline.

Redact every occurrence of a phrase and save the result with just a few lines of code. The example rasterizes the result to a PDF named sample_redacted.pdf, so the removed content cannot be recovered:

from groupdocs.redaction import Redactor
from groupdocs.redaction.options import SaveOptions
from groupdocs.redaction.redactions import ExactPhraseRedaction, ReplacementOptions

def redact_text():
    # Open the document
    with Redactor("./sample.docx") as redactor:
        # Replace every occurrence of "John Doe" with "[personal]"
        redactor.apply(ExactPhraseRedaction("John Doe", ReplacementOptions("[personal]")))
        # Rasterize the result to a PDF named sample_redacted.pdf
        save_options = SaveOptions()
        save_options.add_suffix = True
        save_options.rasterize_to_pdf = True
        save_options.redacted_file_suffix = "redacted"
        redactor.save(save_options)

if __name__ == "__main__":
    redact_text()

Binary file (PDF, 1.0 MB)

For finer control, apply several redactions and keep the original format with SaveOptions(rasterize_to_pdf=False):

from groupdocs.redaction import Redactor
from groupdocs.redaction.redactions import ExactPhraseRedaction, RegexRedaction, ReplacementOptions
from groupdocs.redaction.options import SaveOptions

def redact_with_options():
    with Redactor("./sample.docx") as redactor:
        # Redact a name and any 2+ digit number sequences
        redactor.apply(ExactPhraseRedaction("John Doe", ReplacementOptions("[personal]")))
        redactor.apply(RegexRedaction(r"\d{2,}", ReplacementOptions("[number]")))

        # Keep the original DOCX format instead of rasterizing to PDF
        options = SaveOptions()
        options.add_suffix = True
        options.rasterize_to_pdf = False
        options.redacted_file_suffix = "redacted"
        redactor.save(options)

if __name__ == "__main__":
    redact_with_options()

Binary file (DOCX, 16 KB)

1. Install the package — Installation walks through PyPI and offline wheel installation for Windows, Linux, and macOS.
2. Run your first redaction — Hello, World! redacts a document in under five minutes.
3. Explore runnable examples — How to Run Examples clones the GitHub repository and runs every documented scenario locally or in Docker.
4. Use it in depth — the Developer Guide covers every API surface with runnable, copy-paste code examples.
5. Plug it into AI pipelines — AI Agents & LLM Integration explains the bundled AGENTS.md, the MCP server, and machine-readable docs.