Overview
Description
Presidio automatically detects and removes sensitive personal data (PII) from text and images, helping organizations meet data privacy compliance requirements. It works out of the box with built-in recognizers for credit card numbers, names, locations, and more, and can be customized for your specific needs. Deploy it in minutes via Python, Docker, or Kubernetes.
Technical scorecard
License
MIT
Commercial use
Yes
OpenAI-compatible API
No
REST API
No
Fine-tuning support
No
Quantization support
No
Docker available
Yes
GUI / no-code available
No
Telemetry
Unknown
Offline after setup
No
Data & Privacy
Does it send data online?
This listing is not marked offline after setup.
Does it store history?
Not verified in this directory yet. Review the upstream docs for persistence, logs, and workspace storage.
License checks?
Commercial use is marked as allowed or likely allowed by the listed license.
Telemetry?
Unknown
Last verified: Jul 22, 2026. Maintainer verification should be treated as directory guidance, not legal advice.
Deploying Presidio in production?
Stop silent telemetry leaks before they trigger an unintended data leak. Get our Airgap Certainty Blueprint for Presidio.
Request Privacy and Telemetry AuditSetup & Installation
A developer can usually get this running with standard docs.
# Start with the official project repository
# https://github.com/data-privacy-stack/presidioHardware Requirements
Works Well With