Anonymization Demo
See how PII detection and anonymization works with real examples
These are pre-processed examples showing the product's capabilities
ℹ️
Demo Examples
These are pre-processed examples showing what the product can do. The actual product runs locally on your machine with full regex pattern matching.
How the Full Product Works
🔍 Detection
Regex patterns identify emails, phones, IPs, and numeric sequences. Configurable patterns for custom PII types.
🔄 Replacement
Each PII instance replaced with unique token (e.g., [EMAIL_1]). Mapping saved for later restoration.
💻 Local Processing
All anonymization runs on your machine. 169 lines of Python code. No external services or cloud dependencies.
📧
Emails
Pattern-based detection
📱
Phone Numbers
Multiple format support
🌐
IP Addresses
IPv4 detection
🔢
Numeric IDs
6+ digit sequences
⚠️ Important Notes
- These are demonstration examples. The actual product has more sophisticated pattern matching.
- Regex-based detection may not catch all PII variations. Always review output for your use case.
- The product runs locally on your machine with full Python regex capabilities.
- For compliance (GDPR, HIPAA, etc.), consult with legal counsel in addition to using anonymization.