Timestamp Converter
Convert timestamps and dates while making seconds vs milliseconds mistakes obvious before they break auth, sorting, or scheduled work.
Why this tool matters more than it looks
Timestamp bugs are small, silent, and expensive. A value can look plausible and still be completely wrong for the system reading it.
JWT exp, iat, and nbf are usually in seconds. Reading them as milliseconds creates fake expiry bugs and wrong trust decisions.
A timestamp in the wrong unit can reorder records, distort charts, or make recent events look ancient.
When cron, queues, or delayed jobs depend on timestamps, unit mistakes create incidents that look like scheduler failures.
What usually goes wrong
The problem is rarely the date itself. It is usually the assumption behind how the date was stored, parsed, or displayed.
10 digits usually mean seconds. 13 digits usually mean milliseconds. Mixing them often sends dates to 1970 or absurd future years.
A timestamp can be correct in UTC and still look wrong in the UI because the reader expected local time, or the opposite.
A date string without timezone information may be interpreted differently by backend services, browsers, or languages.
What this tool will not validate for you
Converting a timestamp is only one part of the story. You still need to validate the surrounding contract and business meaning.
The converted date may be correct, but the event may still be wrong for your domain: wrong timezone policy, wrong cutoff, wrong retention rule.
If multiple services transform the same timestamp, you still need to find where the wrong unit or timezone was introduced.
This page helps you inspect the value. It does not guarantee that queues, schedulers, or auth middleware are using it consistently.
Related tools and reading
Use these when the timestamp value is only one piece of a larger auth, scheduling, or debugging problem.
Inspect exp, iat, and nbf when auth failures may actually be time failures.
Review job schedules when timestamp confusion shows up around delayed or periodic work.
Read the practical rule set for spotting unit mistakes fast.
Compare implementation snippets by language when the problem moves from diagnosis to code.