An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.

Filter sensitive information from free text before sending it to external services or APIs, such as chatbots and LLMs.

A curated list of data privacy and security resources

The open source PII and PHI redaction and de-identification engine

Search for PII in Python

PIITracker: Automatic Tracking of Personally Identifiable Information in Windows

Case study using dotfurther's Open Discover Platform with the RavenDB document store to rapidly create a full-text search/eDiscovery/information governance capable demonstration application.

Continuous PII classification and reporting on the internet, powered by AI!

Anonymises data inside text files and in sheet files. It recognises and removes various sorts of personally identifiable information (PII). Each removed part is replaced with suitable pseudonyms, depending on the type of removed data. Currently English and Russian languages are supported. Russian works both with Cyrillic and Latin characters.

This is an an experimental implementation of field-level data masking of Personally Identifiable Information (PII) for use in Django.

Philter Java SDK

Go client SDK for Philter

.NET Client SDK for Philter

korean personally identifiable information text/image masking application

A tool to hide personal details from text and PDF files using AI and regex patterns.

Shell Script Redact PDF using open source softwares

Manages user profile data and protects PII data using AWS KMS