Why detect PII before sending text to LLMs?

Sending personal information to LLM APIs may violate privacy regulations (GDPR, HIPAA, CCPA) and your terms of service. LLMs may also memorize or leak personal data. Scanning for PII before sending allows you to redact or mask sensitive information.

How accurate is the regex-based PII detection?

The patterns are high-recall (few false negatives) but may have some false positives. Phone number detection in particular can match non-phone digit sequences. Review matches in context before taking action. For production use, combine with a trained NLP model for better precision.

Can this tool redact the detected PII?

The detection highlights PII in the text but does not automatically redact it. For automated redaction, combine this tool's patterns with server-side string replacement in your application pipeline.

AI PII Detector

Detect personal information (email, phone, SSN, credit card, IP, date of birth) in text before sending to LLMs.

Text to scan

Detection patterns

Phone

SSN

Credit Card

IP Address

Date of Birth

Paste text above to scan for PII

Related Tools

AICAI Prompt Injection CheckerNEW

Detect prompt injection attacks in text with pattern matching and a 0-10 risk score.

AISAI Input SanitizerNEW

Remove invisible Unicode, escape injection keywords, and strip dangerous content from LLM input.

AOFAI Output Filter BuilderNEW

Build content filter rules for LLM output: blocked words, regex patterns, PII detection, and format constraints.

AJDAI Jailbreak Pattern DetectorNEW

Detect DAN, developer mode, roleplay exploits, and encoding tricks in AI prompts.

Learn More

guide:pii handling use case:compliance review

FAQ

Why detect PII before sending text to LLMs?: Sending personal information to LLM APIs may violate privacy regulations (GDPR, HIPAA, CCPA) and your terms of service. LLMs may also memorize or leak personal data. Scanning for PII before sending allows you to redact or mask sensitive information.
How accurate is the regex-based PII detection?: The patterns are high-recall (few false negatives) but may have some false positives. Phone number detection in particular can match non-phone digit sequences. Review matches in context before taking action. For production use, combine with a trained NLP model for better precision.
Can this tool redact the detected PII?: The detection highlights PII in the text but does not automatically redact it. For automated redaction, combine this tool's patterns with server-side string replacement in your application pipeline.

Scan text for personally identifiable information (PII) before including it in LLM prompts or training data. Detects emails, phone numbers, SSNs, credit card numbers, IP addresses, and dates of birth using regex patterns. Highlights matches with category-colored backgrounds and shows a count per category.