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Need sample data for testing, demos, or prototyping? Describe the dataset you need, and the AI generates it with realistic values, proper distributions, and consistent relationships between columns.

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Generating synthetic data

Open the AI chat and select Generate mode, or ask directly:
  • “Generate 500 rows of e-commerce order data with order ID, customer name, product, quantity, price, and date”
  • “Create a sample employee directory with 200 entries”
  • “Generate financial transaction data with realistic amounts and categories”
  • “Make a dataset of 1000 customer support tickets”

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Customization options

You can be specific about the data you want:
  • Row count — “Generate 100 rows” or “Create 10,000 records”
  • Column types — specify exact columns and data types
  • Value ranges — “Prices between 10and10 and 500”
  • Distributions — “Revenue should follow a normal distribution with mean $50K”
  • Categories — “Status should be one of: Active, Inactive, Pending”
  • Relationships — “Total should equal quantity times unit price”
  • Dates — “Dates between January 2023 and December 2024”
  • Locale — “Use US phone numbers and addresses”

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Use cases

  • Testing — create test data for spreadsheet templates or formulas
  • Demos — generate realistic-looking data for product demos or presentations
  • Prototyping — build out a data model with sample data before connecting real sources
  • Training — create practice datasets for learning formulas, pivot tables, or analysis techniques
  • Privacy — generate synthetic versions of sensitive data for sharing or development