PII Detector
Detect and redact personally identifiable information from text
Detected PII (0)
Redacted Text
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What is PII Detection?
PII (Personally Identifiable Information) detection scans text for sensitive data that could identify individuals—such as names, email addresses, phone numbers, social security numbers, and credit card numbers. Detecting and redacting PII is essential for data privacy, compliance, and safe AI training.
This free PII detector analyzes your text locally in the browser, identifies potential PII using pattern matching, categorizes it by severity, and generates a redacted version safe for sharing or training. No data is ever sent to any server.
PII Types and Severity Levels
| PII Type | Severity | Why It Matters |
|---|---|---|
| SSN | high | Identity theft, fraud risk |
| Credit Card | high | Financial fraud, PCI compliance |
| medium | Spam, phishing, identity linking | |
| Phone Number | medium | Unwanted contact, identity linking |
| Physical Address | medium | Physical security, stalking risk |
| IP Address / Date | low | Contextual, may aid identification |
Why PII Detection Matters for AI
Training Data Safety
Before fine-tuning models, scan datasets to remove PII that could be memorized and regurgitated by the model.
Compliance
GDPR, CCPA, HIPAA, and other regulations require protecting personal data. Detection is the first step to compliance.
Data Sharing
Redact PII before sharing logs, support tickets, or user feedback with third parties or for analysis.
Frequently Asked Questions
Is my data sent to any server?
Absolutely not. All processing happens locally in your browser using JavaScript regex patterns. Your sensitive data never leaves your device.
Does this detect all PII types?
This tool uses pattern matching for common PII formats. It may miss names (no pattern), unusual formats, or non-US identifiers. For production use, consider ML-based NER systems.
Can I use the redacted text for AI training?
The redacted output replaces detected PII with placeholders like [EMAIL] and [SSN], making it safer for training. However, always review the output—pattern matching may miss some PII.