If you've spent any time reading server logs, working with APIs, or debugging date-related bugs, you've probably run into a number like 1715760000. It's not random — it's a Unix timestamp, and it represents a very specific moment in time.

In this guide, you'll learn exactly what Unix timestamps are, why developers use them, and how to convert them to human-readable dates (and back) using an online tool.

What Is a Unix Timestamp?

A Unix timestamp (also called epoch time) is the number of seconds that have elapsed since January 1, 1970, at 00:00:00 UTC. That reference point — midnight UTC on January 1st, 1970 — is called the Unix epoch.

So 1715760000 doesn't mean "some random big number." It means: 1,715,760,000 seconds after January 1, 1970, UTC — which works out to May 15, 2025, 08:00:00 UTC.

This system was established with the Unix operating system in the early 1970s, and it's been the standard for representing time in computing ever since.

Seconds vs. Milliseconds: An Important Distinction

Here's a source of confusion that trips up a lot of developers: not all timestamps are in seconds.

  • Unix timestamp (seconds): 1715760000 — 10 digits
  • Millisecond timestamp: 1715760000000 — 13 digits

JavaScript's Date.now() returns milliseconds. Many databases and APIs also use milliseconds. Python's time.time() returns seconds (as a float). The distinction matters — if you pass a millisecond timestamp to code expecting seconds, you'll get a date in the year 57,000-something.

Quick rule of thumb: If your timestamp is 10 digits, it's probably seconds. If it's 13 digits, it's probably milliseconds.

Why Do Developers Use Unix Timestamps?

It might seem strange to store dates as big numbers instead of something like "2025-05-15 08:00:00". But timestamps have real advantages:

Timezone-independent. A Unix timestamp always refers to a moment in UTC. When you convert it to a local time, you apply the timezone offset at display time — not at storage time. This eliminates entire categories of timezone-related bugs.

Easy arithmetic. Want to know if something happened more than 7 days ago? Just compare: now - timestamp > 7 * 24 * 3600. No string parsing, no date library, no edge cases around month lengths.

Universally supported. Every programming language and database understands Unix timestamps. You don't need to worry about date string formatting inconsistencies (MM/DD/YYYY vs DD-MM-YYYY vs YYYY-MM-DD).

Compact storage. Storing a single integer takes less space than storing a formatted date string, which matters at scale.

Sortable. Timestamps sort correctly as plain integers. No special date sorting logic needed.

Common Timestamp Reference Values

It helps to have a few anchor points memorized so you can sanity-check timestamps at a glance:

DateUnix Timestamp (seconds)
January 1, 2000 (Y2K)946684800
January 1, 20101262304000
January 1, 20201577836800
January 1, 20241704067200
January 1, 20251735689600
January 1, 20301893456000

If you see a timestamp around 1.7 billion, it's somewhere in 2023–2024. If you see one around 1.9 billion, it's in the 2030s. These mental anchors help you quickly spot a timestamp that's off by a factor of 1000 (seconds vs. milliseconds).

The Year 2038 Problem

A quick note for the curious: 32-bit Unix timestamps will overflow on January 19, 2038, at 03:14:07 UTC (timestamp 2147483647). After that, 32-bit signed integers wrap around to negative values. This is the "Year 2038 problem" — similar in concept to Y2K. Most modern systems use 64-bit timestamps, which won't overflow for hundreds of billions of years.

How to Convert a Timestamp

Timestamp → Human-readable date:

In JavaScript:

new Date(1715760000 * 1000).toISOString()
// "2025-05-15T08:00:00.000Z"

In Python:

import datetime
datetime.datetime.utcfromtimestamp(1715760000)
# datetime.datetime(2025, 5, 15, 8, 0)

Current date → Timestamp:

In JavaScript:

Math.floor(Date.now() / 1000)  // current Unix timestamp in seconds

In Python:

import time
int(time.time())  # current Unix timestamp in seconds

These work fine in code, but when you just need a quick answer — or you're debugging and don't have a REPL open — an online converter is much faster.

When an Online Tool Beats Writing Code

  • You're reading a log file and need to decode a timestamp quickly
  • You want to check what timestamp corresponds to a specific date in the past or future
  • You're comparing timestamps across systems and need to verify they match
  • You're onboarding and need to explain timestamps to a non-technical teammate

An online converter handles seconds and milliseconds, shows you the result in multiple timezones, and requires zero setup.

Try ujiffy Timestamp Converter →

Paste any Unix timestamp, get a readable date instantly — or pick a date and get its timestamp. No setup required.