Data Masking for Test Environments

Mask production data before you use it in testing or development. Keeps formats and relationships, removes real personal data. Free, no upload.

Quick answer: Hide sensitive values before sharing data.

Related: Data Masking and Anonymization · Mask Emails in a CSV File · Anonymize CSV Data · Mask PII in Excel Files · Data Privacy Guides and Free Tools

How to use the Data Masking for Test Environments

Hide sensitive values before sharing data.

Data Masking hides personal data before you share a file. It detects columns that look like emails, phones, names, addresses and card numbers, suggests a method for each, and previews the result. Choose fake data, partial masking, hashing, noise, rounding or removal. Consistent masking gives the same output for the same input, so related files still line up. Your data stays in your browser.

  1. Load your data
  2. Check the suggested methods
  3. Preview and download

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Example

Input: production customers.csv

Output: test-safe customers.csv

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Frequently asked questions · Data format benchmark

Frequently asked questions

Should I use masking or synthetic data for testing?

Masking keeps your real rows with hidden values. The Synthetic Data Generator makes new rows that copy no real row. Use synthetic when you need no real data at all.

Is masking the same as anonymizing?

Not always. Combined details can still identify people, so review before sharing.

Can a hash be reversed?

Not directly, but easy-to-guess values can be matched. Use a salt.

How does Data Masking protect personal data?

It finds columns that look like emails, phones, names or card numbers, and lets you choose a method for each: fake data, partial masking, hashing, noise, rounding or removal. The same input can give the same output, so relationships between files still line up.

Can I prove a file was masked?

Yes. Save the masked file to Recent files and open Data Lineage. It lists every masked column and the method used.

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