How to build scalable web apps with OpenAI's Privacy Filter
Hugging Face Blog
OpenAI released Privacy Filter, an open-source personally-identifiable information detector model that identifies text across eight categories including names, emails, phone numbers, and account numbers. The 1.5-billion-parameter model processes up to 128,000 tokens in a single pass and achieves state-of-the-art performance on the PII-Masking-300k benchmark. Three reference applications—Document Privacy Explorer, Image Anonymizer, and SmartRedact Paste—demonstrate how developers can integrate the model into web apps using Gradio's Server framework to separate queued model inference from static content delivery.
