Quickly and securely turn your CSV into anonymized, demo-safe data

Use our fast and secure anonymization tool to safely strip any CSV of sensitive data. Specify column formats, generate sample data with AI, and generate clean CSV files.
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Adam Reisfield
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How to safely anonymize your data

Have a dataset that needs anonymization? Whether you're trying to strip out vendor names, cost data, addresses or names, this free anonymization tool will help you strip your CSV of sensitive data in seconds.

  1. Upload a CSV file containing data you'd like to anonymize
  2. Select all columns that you'd like to anonymize
  3. Set your desired export format for each column of data
  4. Review your results and name your file
  5. Export your anonymized results as a CSV file

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Disclaimer

This tool is intended for ad-hoc usage only and is not part of the core Parabola application platform. While it follows basic best practices, it is not subject to the same infrastructure, SLAs, or security guarantees as Parabola’s production-grade environment.

Is my data safe using this tool? 

Your data never leaves your browser. This tool processes everything locally on your device. No servers, no cloud processing, no data transmission.

What we track (analytics only)

We collect minimal, anonymous usage analytics to improve the tool:

  • File upload size: File size only (no content)
  • Anonymization details: Number of columns processed and data types selected
  • Download size: Size of anonymized file generated
  • Event data: File uploaded, data anonymized, file downloaded

We never see or store:

  • Your actual data content
  • File names or headers
  • Any personally identifiable information
  • The anonymized results

How it works

  1. Upload: Your CSV is parsed entirely in your browser's memory
  2. Process: Anonymization algorithms run locally on your device
  3. Download: The anonymized file is generated and downloaded directly from your browser

Technical security

  • No server uploads: Files never leave your computer
  • Memory-only processing: Data is not written to disk during processing
  • Secure randomization: Uses cryptographically secure random number generation
  • No external dependencies: All anonymization logic runs locally

Supported data types

  • Names (first, last, full)
  • Email addresses
  • Phone numbers
  • Addresses (US, UK, Canada, Australia)
  • ID numbers (with custom patterns)
  • Currency values (multiple formats)
  • Dates (with configurable shifting)
  • Numeric values
  • Custom text data

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What can I do with my anonymized data? 

Anonymized data is useful for any organization wanting to create realistic demos without compromising sensitive data. Use this tool for: 

  • Building templates for Parabola's use case library
  • Creating realistic demo environments for internal tools or sales walkthroughs
  • Generating sample data for sandboxing or prototyping new features
  • Sharing examples safely with customers, partners, or vendors
  • Stress-testing workflows without risking exposure of PII
  • Building training environments for onboarding new team members
  • Populating dashboards and reports with safe, production-like data
  • Creating templates for Parabola's use case library
  • Powering internal documentation, Loom walkthroughs, or marketing visuals
  • Running QA checks on bulk operations or backend logic
  • Enabling AI testing with data that mimics real inputs, minus the risk

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