Timezone handling looks simple until it isn't. DST transitions, historical changes, and those odd :30 and :45 offsets can break applications in subtle ways. We tested six timezone APIs to see how they handle real-world complexity.
Quick Comparison#
| API | Price | Free Tier | Coord Lookup | Historical Data | Rate Limit (Free) |
|---|---|---|---|---|---|
| TimezoneDB | $50/year | Non-commercial | Yes | Limited | 1 req/sec |
| WorldTimeAPI | Free | Unlimited | No | No | Varies |
| TimeAndDate Time API | $49-399/year | 3-month trial | Yes | Yes | N/A |
| Abstract Timezone | $99/month | Non-commercial | Yes | No | 1 req/sec |
| Google Time Zone API | ~$5/1000 req | $200 credit | Yes | Yes | 50 req/sec |
| World Data API | $79-1,349/yr | 60/day (permanent) | Yes | No | 60/day |
The APIs Tested#
TimezoneDB#
Best for: Budget-conscious projects that need reliable basics
At $50/year, TimezoneDB is among the cheapest paid options. The API covers the fundamentals well: coordinate-to-timezone lookups, current time retrieval, and DST offset information.
The free tier allows one request per second but is restricted to non-commercial use only. Paid plans ($5/month or $50/year) remove this limit and add premium features like city name lookups.
Strengths:
Genuinely inexpensive for timezone-only needs
Clean, straightforward API design
Handles unusual offsets correctly (Nepal's UTC+5:45, India's UTC+5:30)
IANA timezone database updates
Weaknesses:
Historical timezone data is limited to recent years
No batch request support
Documentation could be more detailed
Sample response:
{
"status": "OK",
"zoneName": "Asia/Kathmandu",
"gmtOffset": 20700,
"dst": "0"
}
WorldTimeAPI#
Best for: Simple current-time lookups with zero budget
WorldTimeAPI is completely free and requires no API key. You can query by timezone name or IP address to get the current time. That simplicity is both its strength and limitation.
Strengths:
No signup, no API key, no cost
IP-based timezone detection
Returns both raw and formatted time strings
Weaknesses:
No coordinate-based lookups
No historical data
No DST transition information beyond current state
Occasional availability issues during high traffic
Cannot query arbitrary timestamps
Sample response:
{
"timezone": "America/New_York",
"datetime": "2026-01-19T10:30:45.123456-05:00",
"utc_offset": "-05:00",
"dst": false
}
TimeAndDate Time API#
Best for: Applications requiring comprehensive timezone intelligence
TimeAndDate offers the most feature-complete timezone API. Historical data goes back decades, DST transition schedules are available years in advance, and the API handles every edge case we tested.
The pricing tiers ($49-$399/year) reflect different request volumes and feature access. The higher tiers include business day calculations, holiday data, and astronomy information.
Strengths:
Extensive historical timezone data
Forward-looking DST transition schedules
Handles all unusual offsets correctly
Batch requests supported
Excellent documentation
Weaknesses:
No free tier for evaluation
Higher cost than basic alternatives
Response format is more complex
Abstract Timezone API#
Best for: Teams already using Abstract's API suite
Abstract offers a timezone API as part of their broader API platform (IP geolocation, email validation, etc.). The $9-99/month pricing makes sense if you're using multiple Abstract APIs; less so for timezone lookups alone.
Strengths:
Unified platform if using other Abstract APIs
Coordinate-based lookups work well
Clean developer experience
Weaknesses:
Monthly pricing adds up versus annual alternatives
No historical timezone data
Limited DST transition information
Overkill if you only need timezone data
Google Time Zone API#
Best for: Projects already on Google Cloud Platform
Google's offering is technically capable but comes with Google Cloud overhead. You'll need a GCP project, billing enabled, and API credentials before making your first request. The $200 free credit helps, but the setup friction is real.
Pricing runs approximately $5 per 1,000 requests after free credits expire. For high-volume applications, this adds up quickly compared to annual flat-rate alternatives.
Strengths:
Accurate coordinate lookups using Google's location data
Historical timezone data available
High rate limits (50 requests/second default)
Google's infrastructure reliability
Weaknesses:
Requires Google Cloud account and billing setup
Pay-per-request model unpredictable for variable traffic
More complex authentication than alternatives
Overkill for simple timezone needs
Sample request:
https://maps.googleapis.com/maps/api/timezone/json
?location=39.6034,-119.6822
×tamp=1737295200
&key=YOUR_API_KEY
World Data API#
Best for: Projects needing timezone plus country/holiday/business day data
World Data API bundles timezone lookups with country information, holidays, business day calculations, and geographic details. Pricing ranges from $79/year (15K requests/month) to $1,349/year (500K requests/month).
Strengths:
Bundled data types reduce API sprawl
Includes holidays and business day calculations (unique among timezone APIs)
Permanent free tier (60/day) with no commercial restrictions
Coordinate lookups included
Weaknesses:
No historical timezone data
Bundle pricing inefficient if you only need timezones
Less focused than timezone-specific APIs
Edge Case Testing#
We tested each API against scenarios that commonly break timezone implementations:
DST Transitions#
We queried the exact moment of DST transitions in multiple regions. TimezoneDB, TimeAndDate, and Google handled these correctly. WorldTimeAPI only reports current DST status without transition times. Abstract and World Data API provided basic DST flags but not transition schedules.
Unusual Offsets#
Not all timezones use whole-hour offsets:
Nepal: UTC+5:45
India: UTC+5:30
Newfoundland: UTC-3:30
Chatham Islands: UTC+12:45
All six APIs returned correct offsets for these zones. This is table stakes in 2026, but worth verifying.
Historical Changes#
Timezones change. Samoa skipped December 30, 2011 entirely when switching sides of the International Date Line. Russia has reorganized its timezones multiple times.
Only TimeAndDate and Google provided accurate historical data for these changes. TimezoneDB had partial coverage for recent years. The others returned current timezone rules regardless of the queried timestamp.
Pricing Breakdown#
For 100,000 requests/month:
| API | Annual Cost |
|---|---|
| TimezoneDB | $50 |
| WorldTimeAPI | $0 |
| TimeAndDate | $49-149 |
| Abstract | $1,188 |
| ~$600 (after credits) | |
| World Data | $449 (Pro tier) |
For 1,000,000 requests/month:
| API | Annual Cost |
|---|---|
| TimezoneDB | $50 |
| WorldTimeAPI | $0 (if available) |
| TimeAndDate | $149-399 |
| Abstract | $1,188+ |
| ~$6,000 | |
| World Data | $1,349+ (Growth+overage) |
The flat-rate APIs (TimezoneDB, TimeAndDate) become dramatically cheaper at scale.
Our Recommendations#
For budget projects: Start with WorldTimeAPI if you only need current time by timezone name. Move to TimezoneDB ($50/year) when you need coordinate lookups or hit reliability issues.
For production applications: TimezoneDB handles most real-world needs at minimal cost. The free tier is non-commercial only; the paid tier ($50/year) removes this restriction.
For complex timezone requirements: TimeAndDate Time API justifies its higher price if you need historical data, DST transition schedules, or batch processing. The documentation and accuracy are excellent.
For Google Cloud shops: The Google Time Zone API makes sense if you're already authenticated and billing is configured. Starting from scratch? The setup overhead isn't worth it for timezone lookups alone.
For API consolidation: Abstract or World Data make sense if you're already using their other APIs. Neither is the best choice for timezone functionality alone.
Bottom Line#
Most applications don't need the complexity (or cost) of premium timezone APIs. TimezoneDB at $50/year handles coordinate lookups, DST information, and unusual offsets correctly. That covers 90% of real-world use cases.
If you need historical accuracy or advanced features, TimeAndDate is worth the investment. For everything else, start simple and upgrade when you hit actual limitations—not theoretical ones.