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Data Anonymizer

Mask or pseudonymize sensitive CSV columns locally.

Local processing · No file upload · No API key required

Choose sensitive columns to pseudonymize, redact, remove or partially mask. HMAC pseudonyms use a random per-run key unless you enter a secret. This does not guarantee anonymity: unselected fields may still identify people.

Load your input to preview and configure it. 2 website credits per completed export.

How to use Data Anonymizer

  1. Choose your input, then load and inspect the preview.
  2. Configure the fields and options for your output.
  3. Create the result, review it and download a new file. Your original is unchanged.

Privacy and limits

Files and passwords stay on this device. File contents are not sent to AllNewTools. Account and credit requests do not contain your dataset. XLSX files are supported; save legacy XLS workbooks as XLSX first. Workbook formulas are never executed or recalculated, and data exports do not preserve workbook styling, macros, charts or images. Large inputs are bounded to protect browser memory.

CSV contains values only and has no cell types or formatting. Protect formula-like text before opening untrusted CSV in spreadsheet software. Use XLSX when identifiers must remain text.

All DataKit tools · Open-source engines · Privacy policy