Prepare Production-Safe Test Data

Steps

1. 1

   Format dataset

   Paste your raw dataset JSON into the formatter to pretty-print and validate the structure. Clean, readable data makes it easier to spot fields that may contain sensitive information before scanning.

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2. 2

   Scan for PII

   Run the formatted dataset through the payload analyzer to detect email addresses, phone numbers, names, IDs, and other PII fields. Review the flagged fields to decide which ones need to be anonymized.

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3. 3

   Anonymize fields

   Replace all real PII identified in the previous step with realistic synthetic values. The anonymizer preserves data shape and format so your test data remains functionally accurate.

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4. 4

   Convert format

   Convert the anonymized JSON dataset to CSV format for use in spreadsheets, data pipelines, or test fixtures that expect tabular data.

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5. 5

   Export clean dataset

   Run the CSV through the data cleaner to remove inconsistent formatting, fix delimiters, and strip trailing whitespace before exporting to your test environment.

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What you achieve

Tools used in this workflow