Input (Your sensitive data)
Output (Anonymized data)
Statistics
Mapping
| Word/Phrase | Token | |
|---|---|---|
| No mappings yet. Add words above or select text from input. | ||
⌨️ Keyboard Shortcuts
Key Features of This Data Obfuscation Tool
100% Local & Private
All processing happens in your browser. Your sensitive data never leaves your device. True privacy-first data anonymization with zero server-side breach risk.
Built for AI Workflows
Designed for LLM interactions. Data masking techniques preserve sentence structure, enabling you to encode prompts and decode AI responses seamlessly.
Automated & Instant
Automated data anonymization intelligently detects repeated patterns, saving hours of manual work. Process thousands of lines in seconds.
Encode & Decode
Bidirectional workflow support. Sanitize data for prompts, then decode AI responses to restore original values. Reversible data obfuscation at its finest.
Free & No Setup
Completely free data masking tool. No sign-up, no installation, no limits. Open the page and start sanitizing instantly.
Reusable Mappings
Export sanitization rules as JSON. Share with your team to enforce consistent data anonymization methods across projects.
Frequently Asked Questions
What is data masking?
Data masking is a security technique that creates a structurally similar but inauthentic version of sensitive data. It protects information while providing a functional alternative for use cases like training, demos, or testing. This tool provides dynamic data masking capabilities directly in your browser.
What is data anonymization?
Data anonymization removes or encrypts personally identifiable information (PII) from datasets so individuals remain anonymous. Critical for privacy compliance (GDPR) and safe data sharing. This tool serves as free data anonymization software you can use instantly.
How is this different from other data masking tools?
Most data masking tools are complex, expensive, and require server uploads. This tool is unique: 100% browser-based (data stays with you), free, and specifically designed for modern AI workflows with bidirectional encoding/decoding support.
What are data masking techniques and examples?
Common data masking techniques include tokenization, generalization, pseudonymization, and data obfuscation. This tool uses intelligent pattern detection to replace sensitive data with human-readable tokens. Use this as data anonymization software for securing prompts, logs, and documents.
What is data masking vs tokenization?
Data masking replaces sensitive data with realistic but fake values, while tokenization substitutes data with unique tokens. This tool combines both approaches, creating human-readable tokens that maintain context for AI analysis while protecting original values.
Can I use this for automated data anonymization?
Yes. This tool provides automated data anonymization by intelligently detecting repeated patterns in your text. Simply paste your content, click Analyze, and the tool will identify sensitive patterns for instant anonymization, no manual configuration required.
Learn More: Data Privacy & Sanitization Guide
Pseudonymization vs Anonymization
Learn the GDPR distinction between reversible and irreversible data protection techniques.
Read Article →Data Masking vs Tokenization
Why masking fails for AI workflows while tokenization preserves data utility.
Read Article →Data Obfuscation vs Anonymization
Infrastructure security and why obfuscation is often more appropriate than anonymization.
Read Article →Automated Data Anonymization
Why manual redaction fails 73% of the time and automation is essential.
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Read Article →Data Sanitization Overview
The umbrella term that encompasses all techniques and why terminology matters for compliance.
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