OpenAI Privacy Filter: An Open-Weights PII Detection Model
Melvin Vivas · X post · 2026-04-23 · Open on X
Topics: AI Safety, Security & Guardrails · Level: beginner
Summary
OpenAI released Privacy Filter, an open-weights model for detecting personally identifiable information (PII). It has 1.5B total parameters with 50M active and is available on Hugging Face.
Key points
- Privacy Filter is OpenAI's open-weights model for detecting PII.
- It has 1.5B total parameters but only 50M active (a sparse design).
- It is available on Hugging Face.
Resources mentioned
- OpenAI Privacy Filter · tool · openai.com · free
Small open-weight OpenAI model for context-aware PII detection and redaction.
Also in: OpenAI Privacy Filter for Local PII Detection and Redaction (Melvin Vivas on X · notes) - Hugging Face · website · x.com · free · recommended by both Bashiri Smith & Melvin Vivas
Platform for hosting and finding ML models, datasets and papers. The quoted post says LocateAnything was trending there.
Also in: Using an ML agent to train an open-source TTS model on your voice (Melvin Vivas on X · notes), Deploy Open-Source Models with Hugging Face Inference Endpoints (Melvin Vivas on X · notes), Deploying Qwen3.8 27B on Hugging Face Inference Endpoints (Melvin Vivas on X · notes), Using Hugging Face credits: Jobs, Inference Endpoints and Open Models (Melvin Vivas on X · notes) and 38 more
Try this
- Try OpenAI Privacy Filter from Hugging Face for detecting PII.
More in AI Safety, Security & Guardrails
- Dario Amodei's Essay 'The Adolescence of Technology'
- Devin Security Review from Cognition
- Local PII Redaction on CPU with the AIBackends Python Package
- OpenAI Privacy Filter for Local PII Detection and Redaction
- Keep a human in the loop: question and steer AI output
- Detect PII and PHI with NVIDIA's GLiNER-PII Model