A research python package for detecting, categorizing, and assessing the severity of personal identifiable information (PII)

Desktop App with Built-In LLM for Removing Personal Identifiable Information in Documents

Library for identification, anonymization and de-anonymization of PII data

Automatically filter sensitive information from RubyLLM conversations using Top Secret.

Cyprus: PII Protection and Verification System A web-based solution using Python, Django, Tesseract OCR, and AES-256 encryption to extract, mask, and securely verify PII from government documents. Improved efficiency by 60% and accuracy by 70%, replacing traditional methods with a scalable digital process.

Privacy-first Swedish Personal Identifiable Information (PII) detection, scoring, and redaction.

An open-source Chrome Extension that identifies Personally Identifiable Information (PII) in images and PDFs using ONNX-based machine learning models, running entirely on the client’s local machine.

Arbitrary PII for testing environments

MaskPipe is a modular, spaCy-native PII de-identification pipeline. Refine and orchestrate entity results from GLiNER, HuggingFace, or any NER source with context-aware boosting, rule-based validation, and flexible redaction.

library to mask sensitive fields

🕵️‍♂️ Personally Identifiable Information (PII) Detection and Redaction for Voice Audio Files Stored in S3 and AWS Transcribe

This repository is dedicated to preserving intelligence about Bulgarian data leaks published online. It serves as an open reference to document significant breaches impacting various Bulgarian organizations, companies, and government entities.

PlatyPII is a modular, extensible Python framework for detecting and anonymizing Personally Identifiable Information

PII masking, is a technique that protects personal data by hiding it from public view. PII stands for Personal Identifiable Information.

Redact PII from text

strip-sensitive-personal-info