Data Randomizer Tool (Files) [2025]

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Upload CSV, JSON, XLSX, or XML files, select columns, and replace data with random values using various strategies.

✓ Client-Side ProcessingCSVJSONXLSXXML✓ Column Selection✓ Shuffle & Pattern Generation

How It Works

  1. Upload File: Choose a CSV, JSON, XLSX, or XML file. Processing happens locally.
  2. Select Columns: Check the columns you want to randomize.
  3. Configure Randomization: For each selected column, choose a method:
    • Shuffle Column: Randomly reorders existing values in the column.
    • Generate Pattern: Creates new random data (Names, Emails, Phones, UUIDs, Numbers, Dates, Strings, Pick from List). Configure parameters like ranges or lists where needed.
    • Keep Original: Leaves the column data unchanged.
    • Clear Value: Replaces data with empty values.
  4. Randomize: Click the button to apply the configured randomization.
  5. Download/Copy: Preview the randomized data (JSON preview for XLSX) and download the result in the original file format or copy the preview.

Key Features

  • Supports CSV, JSON (array of objects), XLSX, and XML file formats.
  • Automatic column detection and selection interface.
  • Per-column configuration of randomization strategy.
  • Shuffle: Randomly reorder existing data within a column.
  • Pattern Generation: Create realistic fake data (Names, Emails, Phones, UUIDs, Numbers, Dates, Strings, Custom Lists).
  • Configurable parameters for number/date ranges, string length/charset, and custom lists.
  • Preserves original file structure and format for download.
  • Purely Client-Side Operation: Ensures data privacy.
  • Preview randomized data before downloading.
  • Download randomized data in the original file format (CSV, JSON, XLSX, XML).

Important Considerations

Understand the implications of randomization:

  • Shuffle vs. Generate: Shuffling preserves the original values and distribution but breaks row relationships. Generating creates entirely new, potentially unrealistic data if not configured carefully.
  • Data Realism: Generated data (names, emails, etc.) uses basic patterns and lists. It might not perfectly mimic real-world complexity or distributions.
  • Format Strictness: Expects well-formatted input files. Malformed files will likely cause errors.
  • Performance: Very large files may be slow due to client-side processing.
  • Irreversible: Randomization overwrites data. Ensure you have backups if needed (though this tool works on copies in the browser).
  • Not True Anonymization: While it replaces data, randomization (especially shuffling) might not meet strict anonymization requirements if patterns or distributions remain identifiable. Use the "Data Anonymizer" tool for PII removal.

Common Use Cases

Development & Testing

  • • Creating varied test data
  • • Populating databases
  • • Generating mock API responses
  • • Stress testing systems

Data Masking (Basic)

  • • Replacing sensitive columns
  • • Creating non-identifiable datasets
  • • Preparing data for demos
  • • Obfuscating internal reports

Prototyping & Design

  • • Filling UI mockups
  • • Creating sample content
  • • Visualizing data structures
  • • Generating placeholder data

Frequently Asked Questions

What file formats are supported?

CSV, JSON (array of objects), XLSX (Excel), and XML (with a clear repeating structure under a single root).

Is my uploaded file sent anywhere?

No. All processing happens locally in your browser. Your data remains on your computer.

What's the difference between 'Shuffle' and generating patterns?

'Shuffle' reorders the existing values within a column, keeping the same set of values but mixing them up. Generating patterns (like 'Full Name' or 'Email') creates entirely new, random data based on the chosen type.

Can I randomize only specific rows?

No, this tool currently randomizes the entire selected column(s) across all rows.

How realistic is the generated data?

It uses basic patterns and small sample lists (for names). It's useful for testing and masking but may not perfectly reflect real-world distributions or complex variations.

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