Presidio is a data protection and de-identification SDK that helps developers detect and transform personally identifiable information in text, images, and structured data.
The framework is designed for privacy workflows where sensitive data needs to be identified, anonymized, redacted, masked, or otherwise protected before storage, sharing, analysis, or downstream processing.
This is free and open source software.
Key Features
- Detects private entities such as names, locations, credit card numbers, phone numbers, financial data, bitcoin wallets, and social security numbers.
- Supports predefined and custom recognizers using named entity recognition, regular expressions, rule-based logic, checksums, and contextual analysis.
- Offers anonymization and de-identification options for replacing, masking, redacting, hashing, encrypting, or otherwise transforming detected entities.
- Provides components for text analysis, anonymization, image redaction, and structured data processing.
- Can redact PII from standard image formats and DICOM medical images.
- Supports integration with external PII detection models.
- Can be used from Python, PySpark, Docker, and Kubernetes-based deployments.
- Designed to be extensible with custom recognizers, custom operators, and configurable pipelines.
Website: github.com/data-privacy-stack/presidio
Support:
Developer: Microsoft
License: MIT License
Presidio is written in Python. Learn Python with our recommended free books and free tutorials.
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