Developer

Unix Timestamp Converter

Convert a Unix timestamp into a readable date or turn a date into a Unix timestamp for debugging and integration work.

Last reviewed: April 30, 2026Free toolMethodology

Unix Timestamp Converter

These fields start with sample inputs. Keep them or replace them, then run the tool to show a fresh result.

Number fields accept plain values and common formatted input such as 250000, 250,000, or 1,234.56.

Result

Calculating the sample result.

Why it matters

Unix timestamps show up in APIs, logs, JWT claims, and webhooks, but they are hard to reason about without a readable conversion.

When to use

  • Inspecting API timestamps
  • Checking JWT claim dates
  • Preparing timestamps for tests or migration scripts

Inputs & Outputs

Inputs

  • Timestamp input should be Unix time in seconds.
  • Date input converts a readable date into Unix seconds.

Outputs

  • Readable date shows the interpreted UTC timestamp.
  • Unix seconds output helps generate API-ready values from a date selection.

Timestamp conversion method

The tool translates between Unix epoch seconds and human-readable date/time values using standard JavaScript date conversion.

Unix timestamp = seconds since 1970-01-01 00:00:00 UTC

Worked example

1

Token claim debugging

A developer wants to confirm what a JWT `exp` value of 1713657600 means in human-readable time.

Inputs

  • Timestamp: 1713657600

Steps

  • Convert Unix seconds into a UTC date/time string

Result

  • The readable date can be compared directly with system clock time.

Edge cases & caveats

  • Unix timestamps are timezone-neutral; the readable presentation still depends on how you choose to display them.
  • Milliseconds and seconds are different formats. This tool expects seconds.

Frequently Asked Questions

Why is my timestamp off by a factor of 1,000?

Many systems use milliseconds, while Unix timestamps in APIs and JWT claims often use seconds.

Does this show local time or UTC?

The tool surfaces a UTC interpretation so the value is predictable across environments.

Keep going

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