User-agent input
Paste the full header value from browser devtools, logs, requests, or analytics exports.
Parsed JSON
A structured summary of the detected browser, platform, engine, and client type appears here.
| Field | Value |
|---|---|
Parse a user-agent string to view the detailed field list. | |
About this tool
Why user-agent parsing still matters in debugging and support workflows
Modern browsers and devices are harder to identify at a glance from the raw user-agent string because the header is long, compressed, and full of historical compatibility tokens. A parser turns that noisy string into something readable: browser name, likely version, OS, rendering engine, and device class.
This is useful when triaging browser-specific bugs, validating analytics labels, reviewing bot traffic, or confirming what kind of client actually hit an API. It pairs naturally with Redirect Checker, URL Parser & Query Params Viewer, cURL to Fetch Converter, and JSON Formatter during request-level debugging.
Common user-agent parsing use cases
Support teams use UA parsing when a bug appears only on one browser family or OS version. API teams use it to check whether requests came from a browser, search bot, monitoring client, or automation script. Analytics teams use it to confirm whether traffic labels match the underlying request string.
Why raw strings are misleading
User-agent strings often contain compatibility fragments that make them look like several browsers at once. A parser helps identify the most likely modern client instead of forcing you to guess from tokens like AppleWebKit, Safari, Chrome, or Mozilla that appear in many unrelated strings.
Example: verify a reported browser bug
Paste the UA from a support ticket to confirm the real browser family, engine, and platform before you try to reproduce the issue.
Example: inspect bot-like traffic
Distinguish between search crawlers, automation tools, and normal browsers when logs show odd request behavior or traffic spikes.
Example: decode request context
Use parsed browser and platform details beside Redirect Checker or cURL to Fetch Converter when tracking request-handling differences.
Can this tool identify bots and automated clients?
Yes. It flags well-known search bots and common automated clients such as Postman, curl, or python-requests when those signatures appear in the user-agent string.
Does the parser rely on a remote API?
No. The parsing logic runs in the browser, so you can inspect raw user-agent strings without sending them to a backend service.
Can I parse my current browser automatically?
Yes. Use the current-browser button to load the browser’s own user-agent value into the parser instantly.