microsoft/presidio-anonymizer repository overview

⁠Presidio Anonymizer

⁠About this Image

Presidio is a context aware, pluggable and customizable data protection and PII data anonymization service for text and images.

The Presidio anonymizer is a Python based module for anonymizing detected PII text entities with desired values.

• GitHub Repo⁠
• Documentation⁠

⁠Project transition and container registry update

The Presidio project is transitioning from a Microsoft-owned project to an independent, community-governed open source project under the Data Privacy Stack GitHub organization. Its new repository is github.com/data-privacy-stack/presidio⁠.

New Presidio Anonymizer container releases are published to GitHub Container Registry at ghcr.io/data-privacy-stack/presidio-anonymizer⁠. This MCR repository remains available as a legacy location, but mcr.microsoft.com/presidio-anonymizer:latest no longer represents the newest Presidio release. For quick tests, use ghcr.io/data-privacy-stack/presidio-anonymizer:latest; for production, pin an explicit GHCR release tag.

⁠Related Repos

• Presidio Analyzer⁠
• Presidio Image Redactor⁠

⁠Full Tag Listing

• latest - Legacy MCR tag. No longer updated with the latest Presidio version; use ghcr.io/data-privacy-stack/presidio-anonymizer:latest or a pinned GHCR release tag instead.
• v1 - For Presidio version 1.

⁠Support

• Before you submit an issue, please go over the documentation⁠. For general discussions, please use the Github repo's discussion board⁠.
• If you have a usage question, found a bug or have a suggestion for improvement, please file a Github issue⁠.
• For other matters, please email [email protected]⁠.

⁠License

• Legal Notice: Container License Information⁠

The project is covered by MIT License. The detailed license text is available here⁠

Warning: Presidio can help identify sensitive/PII data in un/structured text. However, because Presidio is using trained ML models, there is no guarantee that Presidio will find all sensitive information. Consequently, additional systems and protections should be employed.