This is the Linux app named OpenAI Privacy Filter whose latest release can be downloaded as privacy-filtersourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named OpenAI Privacy Filter with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.
- 5. From the OnWorks Linux OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application, install it and run it.
SCREENSHOTS
Ad
OpenAI Privacy Filter
DESCRIPTION
OpenAI Privacy Filter is an open-weight machine learning model designed to detect and mask personally identifiable information in text with high efficiency and contextual awareness. It operates as a bidirectional token classification system that labels sensitive data in a single forward pass rather than generating text sequentially, enabling fast processing for large datasets. The model supports long-context inputs, allowing it to analyze extensive documents without chunking, which improves consistency in redaction tasks. It can run locally on standard hardware, ensuring that sensitive information never leaves the user’s environment and supporting privacy-first workflows. The system is fine-tunable, enabling adaptation to specific datasets or compliance requirements across industries. It identifies multiple categories of sensitive data such as names, emails, and credentials, replacing them with placeholders to preserve structure.
Features
- Detection and masking of multiple categories of sensitive information
- Bidirectional token classification for fast single-pass processing
- Support for long-context inputs up to large token windows
- Local execution for privacy-preserving workflows
- Fine-tuning capabilities for domain-specific adaptation
- Configurable precision and recall for redaction control
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/openai-privacy-filter.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
