Convert and compare timestamps including .NET ticks, DateTime, and Unix formats across multiple timezones, everything done locally.
Users
20
0 in 30 days
Rating
4.7 / 5
unchanged in 30 days
Ratings
3
0 in 30 days
Store rank
#150K
#125K among extensions
Version
1.1.2
updated 7 Jun 2026
Users
monthly, 14 months
Latest, 16 Oct 2026:20 usersMove the mouse over the chart for any month
Ratings count
monthly, 14 months
Latest, 16 Oct 2026:3 ratingsMove the mouse over the chart for any month
The Chrome Web Store rounds user counts down to the leading digit, so the user line moves in steps. The ratings count is exact and is the better signal of real adoption.
About AzenTick – Timestamp Converter & Timezone Tool
AzenTicks is a lightweight Chrome & Edge extension that helps developers convert and compare timestamps quickly and accurately.
It brings together .NET ticks, DateTime values, and Unix timestamps in one place, allowing you to understand and verify time data without switching tools. You can also view the same moment across multiple timezones with daylight saving awareness. Everything runs locally in your browser, with no external services involved.
Key Features
• Unified timestamp converter
Work with DateTime, .NET ticks, Unix seconds, and milliseconds in a single view, with values updating instantly.
• Start and end of day tick helpers
Generate boundary values for a given date to simplify queries, filters, and scheduled job validation.
• Multi-timezone comparison
View a timestamp across selected timezones with offsets, relative differences, and daylight saving context.
• JSON copy and export
Copy individual results or export structured data for debugging, tickets, or collaboration.
• Local conversion history
Keep recent conversions available for repeated testing and troubleshooting workflows.
• Privacy-friendly by design
No permissions required, no tracking, and no data leaves your device.
Useful For
• Debugging .NET or C# logs that contain tick values
• Verifying timestamps in API requests and responses
• Building SQL or MongoDB date boundary queries
• Comparing incident times across distributed teams
• Preparing timezone-aware handoff notes for support or operations
• Checking DST-sensitive production events before rollout or analysis