Convert Unix timestamps into readable date and time instantly.
Users
4
0 in 30 days
Rating
0.0 / 5
unchanged in 30 days
Ratings
0
0 in 30 days
Store rank
#281K
#232K among extensions
Version
1.0
updated 21 Mar 2026
Users
monthly, 7 months
Latest, 15 Oct 2026:4 usersMove the mouse over the chart for any month
Ratings count
monthly, 7 months
Latest, 15 Oct 2026:0 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 Tech Timestamp Converter
Tech Timestamp Converter is a lightweight Chrome extension designed to help users quickly convert Unix timestamps into human readable date and time formats. This simple tool is especially useful for developers, testers, analysts, and anyone working with technical data that uses timestamp values.
The extension provides a clean popup interface where users can enter a Unix timestamp and instantly see the corresponding date and time. This makes it convenient for checking log data, debugging APIs, reviewing server records, or understanding time values used in many programming environments.
In addition to manual conversion, the extension also allows users to generate and convert the current timestamp with a single click. This feature can help users quickly obtain the current Unix time and immediately view the readable date result.
Tech Timestamp Converter is intentionally designed to be minimal, fast, and easy to use. The extension runs entirely inside the browser popup and does not require any special permissions. It does not access browsing history, personal information, or external websites. All calculations are performed locally within the extension to ensure privacy and reliable performance.
Because of its lightweight structure and straightforward functionality, the extension loads instantly and provides a convenient utility for anyone who frequently works with timestamps or technical time values during development or data analysis tasks.