Timestamp Converter
Quickly go from Unix timestamps to readable dates and back again. Whether you're debugging an API response or making sense of database entries, this tool's got you covered.
What's a Unix Timestamp?
A Unix timestamp is just the number of seconds that have passed since January 1, 1970. That's it. It's a simple, universal way to represent a moment in time, and you'll find it everywhere from APIs to databases to log files.
You'll probably reach for this converter when you're:
- Building or debugging API endpoints
- Digging through database records
- Making sense of timestamps in log files
- Dealing with time across different timezones
Formats You Can Work With
Unix Timestamp
The classic seconds-since-1970 format (1970-01-01 00:00:00 UTC). It's what most systems and APIs expect under the hood.
ISO 8601 Format
The standard date string you see everywhere (YYYY-MM-DDTHH:mm:ssZ). If you've worked with JSON APIs, you've definitely seen this one.
Human-Readable Dates
Dates formatted the way people actually read them, including localized versions and timezone-aware options.
A Few Things Worth Knowing
Timezones Are Tricky
Don't forget about timezones. Store everything in UTC and only convert to local time when you're showing it to users. Trust me, future you will be grateful.
Seconds vs. Milliseconds
Some systems use seconds, others use milliseconds. It's an easy thing to mix up, and it'll give you dates way in the future if you get it wrong.
Validate Early
Always check that a timestamp looks right before you do anything with it. Bad timestamps can cause weird bugs that are surprisingly hard to track down.
Going Deeper with Timestamps
If you're working with distributed systems, timestamps become really important for keeping things in sync across servers and timezones. The golden rule: keep everything in UTC internally, and only convert to local time when it hits the UI.
Need more precision? Millisecond and microsecond timestamps are your friends. Just keep in mind that different databases handle timestamp precision differently, so it's worth checking what your database actually supports before you commit to a format.