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iToolVersev2.2

Timezone Converter

Convert Timestamps and Datetimes Across Timezones

Easily convert Unix timestamps or datetimes from logs, databases (e.g., MongoDB created_at), or monitoring tools to your local timezone or multiple timezones. Supports range conversions and saves your preferences for quick access.

Input Configuration

Conversion Results

No results yet. Enter a timestamp and click Convert.

Real-World Examples

MongoDB Timestamp Conversion

Converting a MongoDB document's created_at field to readable time

ISO 8601 with milliseconds
Input:
2023-10-12T14:30:00.000Z
Converted to:
UTC:Oct 12, 2023, 2:30:00 PM
America/New_York:Oct 12, 2023, 10:30:00 AM
Asia/Tokyo:Oct 12, 2023, 11:30:00 PM

Server Log Analysis

Converting Unix timestamps from server logs to local time

Unix Timestamp
Input:
1697123400
Converted to:
UTC:Oct 12, 2023, 8:30:00 PM
Europe/London:Oct 12, 2023, 9:30:00 PM
Asia/Kolkata:Oct 13, 2023, 2:00:00 AM

API Response Processing

Converting ISO timestamps without milliseconds for frontend display

ISO 8601 without milliseconds
Input:
2023-10-12T16:45:30Z
Converted to:
UTC:Oct 12, 2023, 4:45:30 PM
America/Los_Angeles:Oct 12, 2023, 9:45:30 AM
Australia/Sydney:Oct 13, 2023, 3:45:30 AM

Development Use Cases

Backend Development

Common Scenarios:
  • • Converting database timestamps for API responses
  • • Debugging timezone-related business logic
  • • Analyzing user activity across regions
  • • Processing scheduled tasks and cron jobs
Related Tools:
MongoDB
PostgreSQL
Redis
Elasticsearch

DevOps & Monitoring

Common Scenarios:
  • • Correlating logs from multiple servers
  • • Converting alert timestamps to local time
  • • Analyzing performance metrics by region
  • • Incident response and timeline analysis
Related Tools:
CloudWatch
Datadog
New Relic
Splunk

Frontend Development

Common Scenarios:
  • • Displaying timestamps in user's timezone
  • • Converting UTC dates for date pickers
  • • Handling timezone changes in SPAs
  • • Processing real-time event timestamps
Related Tools:
React
Vue.js
Angular
JavaScript Date API

Data Analysis

Common Scenarios:
  • • Analyzing user behavior patterns by time
  • • Converting timestamps in CSV exports
  • • Processing time-series data
  • • Correlating events across time zones
Related Tools:
Analytics APIs
Data warehouses
CSV files
JSON logs

Quick Copy Examples

Current Unix timestamp
1748866532
Current ISO with ms
2025-06-02T12:15:32.800Z
Current ISO without ms
2025-06-02T12:15:32Z
MongoDB ObjectId time
507f1f77bcf86cd799439011
Common log format
2023-10-12T08:30:00Z
JavaScript timestamp
1748866532800

Step-by-Step Guide

1

Select Input Type

Choose between Unix timestamp, ISO 8601 with/without milliseconds based on your data source.

2

Paste Your Timestamp

Copy the timestamp from your logs, database, or API response and paste it into the input field.

3

Add Target Timezones

Select the timezones you want to convert to. Your local timezone is auto-detected and added by default.

4

Convert and Copy Results

Click Convert to see results in multiple formats. Use the copy buttons to grab specific values.

Timezone Conversion Guide

Understanding Timestamp Formats

Unix Timestamp

Number of seconds since January 1, 1970 UTC (e.g., 1697059200). Commonly used in systems programming, APIs, and databases for efficient time storage.

ISO 8601 with milliseconds

Standard format used by MongoDB and many modern APIs (e.g., 2023-10-12T12:00:00.000Z). Includes millisecond precision for high-accuracy applications.

ISO 8601 without milliseconds

Simplified format common in server logs and older systems (e.g., 2023-10-12T12:00:00Z). Human-readable while maintaining international standards.

Common Use Cases for Developers

  • Converting server logs from UTC to local time for debugging and analysis
  • Analyzing database timestamps across multiple timezones for global applications
  • Converting monitoring tool alerts with timestamps to understand incident timing
  • Processing MongoDB created_at and updated_at fields for user display
  • Debugging time-related issues in distributed systems across different regions
  • Converting API response timestamps for frontend display in user‘s local time
  • Analyzing log files from servers in different geographical locations

Best Practices for Time Handling

  • Always use UTC as the source for server logs and database timestamps to avoid confusion
  • Save timezone preferences to streamline repeated conversions during debugging sessions
  • Verify input format matches the selected type to avoid conversion errors
  • Consider daylight saving time transitions for accurate conversions, especially in business applications
  • Use range conversions for analyzing time periods, logs, or monitoring data
  • Test edge cases like leap years, month boundaries, and timezone transitions

Developer Workflow Tips

Log Analysis

  • • Copy timestamps directly from log files
  • • Convert to your local timezone for easier reading
  • • Use range mode for analyzing incident timeframes

Database Debugging

  • • Convert MongoDB ObjectId timestamps
  • • Analyze user activity patterns by timezone
  • • Debug timezone-related business logic issues

API Development

  • • Test API responses with different timezone inputs
  • • Validate timestamp formats before processing
  • • Convert between different timestamp formats

Monitoring & Alerts

  • • Convert alert timestamps to local time
  • • Correlate events across different time zones
  • • Analyze performance metrics by region

Supported Timezones

The tool includes commonly used timezones for development and business:

UTC - Coordinated Universal Time
America/New_York - US Eastern
America/Los_Angeles - US Pacific
America/Chicago - US Central
Europe/London - UK/GMT
Europe/Paris - Central European
Europe/Berlin - Central European
Asia/Tokyo - Japan Standard
Asia/Shanghai - China Standard
Asia/Kolkata - India Standard
Australia/Sydney - Australian Eastern
Pacific/Auckland - New Zealand

Technical Notes

Precision: Unix timestamps are converted with second precision. Millisecond precision is preserved for ISO formats.

Range Limits: JavaScript Date objects support dates from January 1, 1970 to approximately September 13, 275760.

Daylight Saving: Automatic handling of DST transitions based on the target timezone rules.

Leap Seconds: Not handled by JavaScript Date objects, following standard web development practices.