Random Date Generator

Need sample dates for test fixtures, a spreadsheet, or random sampling? This random date generator picks dates uniformly within any range you set and outputs them in the format you need — ISO, US, EU, long, date-time, or Unix timestamp — ready to copy into code, test data, or analysis.

How it works

You set an earliest and a latest date. The tool converts both to millisecond timestamps, then for each result it draws a uniformly random value between those two timestamps (inclusive) using the browser’s crypto.getRandomValues secure random source. That random millisecond value is turned back into a Date and rendered in your chosen format. Because the draw is uniform across the whole span, every day in the range is equally likely, and dates are independent (so duplicates can occur, like real sampling with replacement).

Example

Set the range 2020-01-01 to 2024-12-31, count 3, format ISO date. A generated batch might be:

2022-07-19
2020-11-03
2024-02-28

Switch the format to Unix timestamp and the same kind of result appears as integers like 1658188800.

Choosing the right format for your use case

ISO date (2025-03-14) is the safest choice for databases, APIs, and any context where the date will be parsed by code. It is unambiguous regardless of locale.

ISO date-time UTC adds hours, minutes, and seconds in Zulu time. Use this when your system stores timestamps with time components and you need sample data that looks realistic at the field level.

US and EU formats are for human-facing output only — not for parsing. 03/14/2025 is March 14 in the US but would be read as the 3rd of February 14th (an invalid date) if passed to a European date parser. Always convert to ISO before handing dates to code.

Long format (for example March 14 2025) reads naturally in prose, card layouts, and email templates where a human will read the date rather than parse it.

Unix timestamp is the number of seconds since 1 January 1970 UTC. Databases, logging systems, and many APIs store time this way because it is a plain integer with no timezone ambiguity. Use this format when populating fixture rows that match a real schema.

Common testing scenarios

• Date validation testing: Generate dates just before and just after a boundary (for example a minimum age of 18) to test edge cases in a date-comparison function.
• Temporal sorting tests: Generate a batch of dates in a short range and paste them into a list to verify your sort implementation handles all orderings correctly.
• Report generation demos: Fill a spreadsheet with random dates over a quarter to make a demo sales report look realistic without using real customer data.
• Randomised A/B test schedules: Draw dates across a test window to assign mock users to treatment periods.

Everything runs locally in your browser — your data never leaves the page.