Unix Timestamp
Enter seconds since January 1, 1970 (UTC)
Readable: Invalid timestamp
Date & Time
Select or enter a date and time
ISO Format: Invalid date
About Unix Timestamps

• Unix timestamp represents seconds elapsed since January 1, 1970, 00:00:00 UTC

• Commonly used in programming, databases, and APIs for date/time storage

• This converter supports both 10-digit (seconds) and 13-digit (milliseconds) timestamps

• All conversions are performed in your local timezone

Why Use This Epoch Converter?

Unix timestamps (epoch time) are fundamental to programming but difficult for humans to read. Our epoch converter instantly translates between Unix timestamps and human-readable dates in any timezone, making debugging, log analysis, and API development significantly easier.

🔄 Bidirectional conversion - Epoch to date and date to epoch

🌍 Timezone support - Convert to any timezone worldwide

⚡ Millisecond precision - Handle both seconds and milliseconds

📅 Multiple formats - ISO 8601, RFC 2822, custom date formats

🕐 Current timestamp - Get current epoch time instantly

📋 Quick copy - One-click timestamp copying

Timestamp Management Tips

Milliseconds vs Seconds

JavaScript uses milliseconds (13 digits: 1634567890123), while Unix traditionally uses seconds (10 digits: 1634567890). When converting, verify which format your system expects to avoid 'date in year 51992' errors.

Always Store UTC

Store timestamps in UTC (Unix epoch is always UTC) to avoid timezone confusion. Convert to local time only for display. This prevents DST bugs, timezone migration issues, and cross-region synchronization problems.

Debugging API Responses

When APIs return epoch timestamps, use this tool to verify dates make sense. Quick validation catches off-by-1000 errors (seconds vs milliseconds) and timezone issues before they reach production.

Calculate Time Differences

Convert two dates to epoch, subtract them, and convert back to understand duration. This is simpler than working with date objects directly and avoids timezone complications in calculations.

Log Analysis

When analyzing server logs with epoch timestamps, convert them to human-readable dates to identify patterns, peak usage times, and incident timelines. This makes root cause analysis significantly faster.