Overview
Set a start and end date, choose how many random dates to generate (1-50), and get back a list of dates picked uniformly at random from that range, sorted chronologically and formatted in whichever convention you need: ISO 8601 (YYYY-MM-DD), US (MM/DD/YYYY), or European (DD/MM/YYYY). Each date is chosen independently and uniformly across the full range down to the second, then normalized to a calendar date, so the distribution isn't biased toward the start or end of the range or clustered around any particular point. Sorting the output chronologically makes the results easier to scan and use directly, rather than requiring a separate sort step before pasting them into a spreadsheet or test fixture. Useful for generating realistic-looking test data for a date field, populating a mock dataset with varied dates, or picking a random date for a demo or example without manually typing one out. Runs entirely client-side.
Best for: Generating realistic test data for a date field or mock dataset
How to use this tool
- Set a date range. Pick a start and end date to generate within.
- Choose a count and format. Generate 1 to 50 dates, in ISO, US, or EU format.
- Generate. Dates are picked uniformly at random across the full range.
- Copy the sorted list. Results are sorted chronologically and ready to copy together.
Why use this tool
Uniform distribution
Dates are picked evenly across the range, not clustered toward either end.
Three common formats
ISO 8601, US, and European date conventions all supported directly.
Chronologically sorted output
Results come back already sorted, ready to use without an extra step.
Batch generation
Generate up to 50 dates at once instead of one at a time.
Frequently asked questions
Each date is selected by picking a uniformly random point in time across the full range (down to the second) and then taking its calendar date, so every day in the range has an equal chance of being selected - there's no bias toward the start, end, or any particular day of the week or month.
Yes - each date is generated independently, so especially with a narrow date range and a higher count, duplicate dates can appear in the results. This matches how random sampling with replacement works and is usually fine for test data purposes; if you need guaranteed-unique dates, you'd need to deduplicate the results afterward.
US date format conventionally orders month before day (MM/DD/YYYY), while most of Europe and much of the rest of the world orders day before month (DD/MM/YYYY) - the same underlying date can look identical or very different depending on which convention is used, which is exactly why picking the right format matters when the output is going into a system that expects one specific convention.