microsoft/presidio-ocr repository overview

⁠DEPRECATION NOTICE

This image is officially deprecated in favor of Presidio V2, and will receive no further updates after 2021-02-25 (Feb 25, 2021). Please adjust your usage accordingly. To use it, use v1 tag.

For current Presidio container releases, use the GitHub Container Registry packages under the Data Privacy Stack organization: github.com/orgs/data-privacy-stack/packages⁠. The Presidio source repository is moving to github.com/data-privacy-stack/presidio⁠.

⁠Presidio

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

• Github Repo⁠
• Documentation⁠

⁠About Presidio

Presidio (Origin from Latin praesidium ‘protection, garrison’) helps to ensure sensitive data is properly managed and governed. It provides fast identification and anonymization modules for private entities in text such as credit card numbers, names, locations, social security numbers, bitcoin wallets, US phone numbers, financial data and more.

⁠Featured Repos

• Presidio Analyzer⁠
• Presidio Anonymizer⁠
• Presidio Image Redactor⁠
• Presidio OCR⁠
• Presidio API⁠
• Presidio Scheduler⁠
• Presidio Datasink⁠
• Presidio Collector⁠
• Presidio Recognizers Store⁠
• Presidio Image Anonymizer⁠

⁠Full Tag Listing

• latest - Legacy MCR tag. No longer updated with the latest Presidio version; use the corresponding ghcr.io/data-privacy-stack/presidio-* image or a pinned GHCR release tag instead.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.