Evaluation & Testing

Presidio

Open-source framework for detecting and anonymizing sensitive data.

Status
Generally available
Last checked
Checked · Oct 16, 2026
License
Open source
Pricing
Free tier · from $0

What it is

Presidio is an open-source framework that detects, redacts, masks, and anonymizes personal information across text, images, and structured data. It supports NLP techniques and customizable pipelines to protect sensitive data effectively.

Presidio stands out for its comprehensive approach to anonymizing sensitive data across multiple formats, making it a robust solution for compliance and privacy protection.

When it fits — and when it doesn’t

A good fit for

  • Teams needing to anonymize sensitive data for compliance purposes.

  • Organizations that handle large volumes of personal information in text or structured formats.

Look elsewhere if

  • Projects requiring real-time processing and low-latency response times.

  • Use cases where the data is primarily unstructured and not text-based.

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited support for image anonymization compared to text and structured data

    Documentation and community feedback indicate less robust image processing features

  2. 02

    Performance issues with large datasets

    NLP-based detection can be slow, especially on unoptimized hardware or large volumes of text data

What it does well

  • Detects and anonymizes sensitive data across various formats.

  • Supports customizable pipelines for specific use cases.

  • Integrates NLP techniques for accurate detection.

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up Presidio

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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Presidio — tracked on AI Navigator

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