Anonymizer
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Supported formats: .csv,.xlsx,.xls,.xlsm,.xlsb,.tsv
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About Anonymizer
Protect privacy by masking PII (names, emails) in your CSV.
Protect sensitive information in your CSV files with our Anonymizer tool.
This tool scans specified columns for personally identifiable information (PII) such as names, email addresses, phone numbers, and more, replacing them with randomized or hashed values.
Whether you need to share data for analysis, reporting, or collaboration, the Anonymizer ensures that individual identities remain confidential while preserving the overall data structure.
Category: Security & PrivacyCommon Use Cases
- Removing personal info before sharing
- GDPR compliance
- Masking emails for testing
Key Features
- Column-level PII detection for names, emails, phone numbers, and IDs
- Consistent hashing so the same value always maps to the same masked output, preserving joins
- Format-preserving masking that keeps data types and structure intact for testing
- Runs fully in-browser, original values never leave your device
The Anonymizer tool is compatible with: Sensitive Exports, User Data, HR Records.
Anonymize a column with CSV_ANONYMIZER, then run it through CLEANING to fix formatting introduced by masking, or FILL_MISSING to patch gaps left by irreversible hashing, before handing the file to a QA team or offshore contractor.
Frequently Asked Questions
It replaces personally identifiable information (PII) in specified columns with randomized or hashed values, ensuring privacy while maintaining data structure.
Yes, you can select specific columns that contain sensitive information to be anonymized.
No, the process is designed to be irreversible to protect privacy.
Built for teams who need to share realistic-looking data with contractors, QA engineers, or analytics vendors without exposing a single real name or email address.
Read the related guide →