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Text Anonymization

Anonymize and censor sensitive information in text, including personal identifiable information (PII), specific words, and patterns. All processing happens locally in your browser.

Censor specific words in the text by replacing them with the chosen character.
Example: password, secret, confidential

How to Use the Text Anonymization Tool

Basic Usage

  1. Enter or paste your text in the input area
  2. Select the anonymization method that suits your needs
  3. Configure the options for your selected method
  4. The anonymized text will automatically appear in the output area
  5. Use the copy button to copy the result to your clipboard

Anonymization Methods

  • Censor Words - Replace specific words with a character of your choice
  • Regex Pattern - Censor text matching a regular expression pattern
  • Censor PII - Automatically detect and censor personal identifiable information
  • Replace Names - Replace specific names or terms with alternative text

Tips for Effective Anonymization

  • For censoring words, separate multiple words with commas or spaces
  • When using regex patterns, use flags like 'g' (global) to replace all occurrences
  • The PII detection can identify common formats of emails, phone numbers, URLs, and credit card numbers
  • For name replacement, add multiple name pairs to replace several names at once
  • Use case sensitivity when you need to distinguish between capitalized and lowercase versions of words

Note: While this tool can help anonymize text, it may not catch all sensitive information. Always review the output manually for any remaining sensitive data before sharing it.

About Text Anonymization

Text anonymization is the process of removing or replacing sensitive or personally identifiable information (PII) from text data to protect privacy while preserving the usefulness of the information for analysis or sharing.

Common use cases for text anonymization include:

  • Preparing documents for public release or sharing
  • Complying with privacy regulations like GDPR or HIPAA
  • Sharing examples or case studies without revealing identities
  • Protecting sensitive information in logs or reports
  • Anonymizing research data or survey responses
  • Preparing text for machine learning or data analysis

Our Text Anonymization tool offers multiple methods to help you protect sensitive information:

  • Word Censoring - Replace specific sensitive words with asterisks or other characters
  • Pattern Matching - Use regular expressions to identify and censor specific patterns of text
  • PII Detection - Automatically identify and censor common types of personal information
  • Name Replacement - Replace real names with pseudonyms or generic labels

Whether you're preparing text for sharing, complying with privacy regulations, or simply protecting sensitive information, this tool provides a simple interface to anonymize your text data while keeping it useful for its intended purpose.