PII Detection Made Simple

Automatically detect personally identifiable information (PII) in text using 500+ tested regex patterns. Optional AI-assist for better coverage on unstructured data.

What is PII Detection?

Personally Identifiable Information (PII) detection is the process of identifying sensitive data in text that could be used to identify, contact, or locate an individual. This includes:

Email addresses
Phone numbers
Social Security Numbers (SSN)
Credit card numbers
IP addresses
Physical addresses
Passport numbers
Driver's license numbers
Names and personal identifiers
Date of birth

Pattern-Based Detection

500+ tested regex patterns for fast, deterministic PII detection. Works entirely offline with no external dependencies.

AI-Assisted Detection

Optional AI assist for better coverage on messy, unstructured text. Finds names, locations, and context-based PII that patterns might miss.

Compliance Ready

Built-in presets for GDPR, HIPAA, and CCPA compliance. Helps organizations meet regulatory requirements for data protection.

Why PII Detection Matters

Unprotected PII in logs, databases, or shared documents can lead to data breaches, compliance violations, and privacy risks. Automated PII detection helps organizations identify and protect sensitive data before it's exposed.

Common Use Cases

Log Sanitization

Remove PII from application logs before storage or analysis to prevent sensitive data from leaking into log management tools.

API Request Filtering

Detect and redact PII in API requests and responses to ensure sensitive data doesn't get logged or stored unintentionally.

Document Processing

Process documents, emails, and chat logs to identify PII before sharing, archiving, or using in AI training datasets.

Compliance Automation

Automate GDPR, HIPAA, and CCPA compliance by detecting PII in data exports, backups, and shared documents.

Start Detecting PII Today

OpenRedaction provides both pattern-based and AI-assisted PII detection. The open-source library is free and works entirely offline.