Random Date & Time Generator

Generate random dates and times within custom ranges for testing, planning, and more.

2025-10-12

Tool Introduction

The Random Date & Time Generator is a versatile tool for creating random timestamps within your specified ranges. Key features include:

  • Generate random dates within a custom date range
  • Generate random times within a custom time range
  • Combine date and time for complete timestamps
  • Multiple date and time format options
  • Generate 1-100 results at once
  • Sort results chronologically
  • Ensure unique results (no duplicates)
  • Various separator options for output formatting

Use Cases

Random Date & Time Generator is perfect for various scenarios:

  • Test Data Generation: Create realistic date/time data for software testing and database population.
  • Event Planning: Generate random dates for scheduling practice or simulation scenarios.
  • Lottery & Contests: Select random dates for prize draws, contest deadlines, or event dates.
  • Education: Create practice problems involving dates and times for students.
  • Data Analysis: Generate sample timestamps for data science and analytics projects.
  • Game Development: Create random event times or spawn dates for game mechanics.

Frequently Asked Questions

What date formats are supported?

We support multiple common date formats including YYYY-MM-DD (ISO standard), DD/MM/YYYY (European), MM/DD/YYYY (US), DD-MMM-YYYY (abbreviated month), and MMMM DD, YYYY (full month name).

Can I generate dates in the future?

Yes! You can set any date range you want, whether in the past, present, or future. The generator will create random dates within the specified range.

How are the random dates generated?

We use JavaScript's cryptographic random number generation to create truly random timestamps within your specified range. The algorithm ensures even distribution across the entire date/time range.

What does "Unique Only" mean?

When "Unique Only" is enabled, the generator ensures that all generated dates/times are different from each other. This is useful when you need a set of distinct timestamps without duplicates.

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