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.

ARX is a comprehensive open source data anonymization tool aiming to provide scalability and usability. It supports various anonymization techniques, methods for analyzing data quality and re-identification risks and it supports well-known privacy models, such as k-anonymity, l-diversity, t-closeness and differential privacy.

Mediapipe-based library to redact faces from videos and images

A curated list of resources related to privacy engineering

Examples scripts that showcase how to use Private AI Text to de-identify, redact, hash, tokenize, mask and synthesize PII in text.

Baseline Recipe for VoicePrivacy Challenge 2022: anonymization systems and evaluation software

Python SDK for PII detection and redaction in text and images, combining regex + NLP pipelines for production privacy workflows.

Deidentify people's names and gender specific pronouns

DICOM gateway for publishing images in Kheops and for de-identification

A pipeline to identify (and remove) certain sequences from raw genomic data. Default taxon to identify (and remove) is Homo sapiens. Removal is optional.

A python client used to interact with the Private AI's API

Masking identifiable information from health related documents.

CliniDeID automatically de-identifies clinical text notes according to the HIPAA Safe Harbor method. It accurately finds identifiers and tags or replaces them with realistic surrogates for better anonymity.

Application of our De-identification Framework with open source technologies, enabling enterprises to take ownership of the de-identification process and deploy it in trusted environments.

PII Anonymizer service based on python with FastAPI

A data de-identification library written in Go

가명처리 라이브러리

A pre-commit hook to check for PII in your code.

Python package to replace identifiable strings in multiple files and folders at once.

Named entity recognition framework

Source code for the paper "Generating Synthetic Training Data for Supervised De-Identification of Electronic Health Records" in Future Internet (2021).

An named-entity-recognition (NER) based anonymizer for archival documents metadata.

AWS Blueprint: Automate data masking workflow

This is the easiest way to de-identify license plates.

Create your own document de-identifier using docdeid, a simple framework independent of language or domain.

HIPAA-native PHI redaction proxy for AI/LLM interactions. Detects and masks all 18 Safe Harbor identifiers with clinically coherent synthetic replacements.

PDF Redaction API for pdf-redaction.com. Secure your pdf in automated way. Reduce cost for redaction.

Web-based tool for data de-identification

An AI-powered, but model-agnostic name-entity recognition toolkit.

anonymaCy is a spaCy extension for anonymizing PII using rule-based recognizers, context-aware processing, conflict resolution and customizable anonymization.