What is privacy-filter?

48/100
Trust Score (D)
⚠️ Use Caution

privacy-filter is a token-classification that An AI model. It has a Nerq Trust Score of 48/100 (D). 1.7K GitHub stars. Published by Unknown. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

48
TRUST SCORE
D
GRADE
1.7K
STARS
1.0M
DOWNLOADS

What privacy-filter Does

privacy-filter is a model in the token-classification category. An AI model. It is published by an independent developer and has no specified license. With 1.7K GitHub stars and 1.0M downloads, it has a growing community of users and contributors.

Who Should Use privacy-filter

privacy-filter is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

AuthorUnknown
Categorytoken-classification
LicenseNot specified
Typemodel
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=openai-privacy-filter

Setup guide · Full safety report · Production review · Is it safe?

Safer Alternatives

ToolTrustStars
rampart44156
gliner2-privacy-filter-PII-multi4664
privacy-filter-nemotron4450
privacy-filter-nemotron-v24444
gliner2.5-multi-v14134

Frequently Asked Questions

What is privacy-filter used for?
privacy-filter is a token-classification tool. An AI model.
Is privacy-filter free?
License: Check project page. privacy-filter has 1.7K GitHub stars.
Is privacy-filter safe?
privacy-filter has a Nerq Trust Score of 48/100 (D). Evaluate carefully.
What are alternatives to privacy-filter?
Top alternatives: rampart, gliner2-privacy-filter-PII-multi, privacy-filter-nemotron. See full comparison.

Last updated September 2026. Trust scores based on automated analysis of public data.

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