Developer

User Agent Parser

Decode any User-Agent string into a clean breakdown — browser, engine, OS, device, and version — for log triage, bug reports, and analytics QA.

Ringkasan alat

Alat ini menerima input berstruktur dan mengembalikan output deterministik dalam pelayar tanpa muat naik pelayan.

Nama alat: User Agent Parser
Niat input: Sediakan kandungan sumber untuk diubah, disahkan atau dianalisis.
Niat output: Terima output ternormal yang sesuai untuk disalin, digunakan semula atau dinyahpepijat.
Contoh input: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/17.4 Safari/605.1.15
Contoh output: browser: Safari 17.4 engine: WebKit 605.1.15 os: macOS 10.15.7 device: Desktop

User-Agent stringDrop file

Presets:

Browser

Safari

17.4

Engine

WebKit

605.1.15

Operating system

macOS

10.15.7

Device

Desktop

—

JSON view

Parsed JSONRead-only

{
  "browser": {
    "name": "Safari",
    "version": "17.4"
  },
  "engine": {
    "name": "WebKit",
    "version": "605.1.15"
  },
  "os": {
    "name": "macOS",
    "version": "10.15.7"
  },
  "device": {
    "type": "Desktop",
    "model": "",
    "vendor": ""
  },
  "isBot": false
}

Pengenalan alat

Decode any User-Agent string into a clean breakdown — browser, engine, OS, device, and version — for log triage, bug reports, and analytics QA.

Gambaran keseluruhan alat

The User-Agent header is a historical mess: every browser claims to be Mozilla, lots of stacks lie about who they are, and important hints are hidden in trailing tokens. This parser uses a sequence of well-known signatures (in the right order) to identify the real browser and engine, then extracts the OS and the device type. It surfaces the parts that matter — browser, engine, OS, device, raw version — and flags ambiguous strings instead of guessing wildly. Great for triaging support tickets and validating server-side analytics.

Kes penggunaan

Triage a bug report by extracting the user’s browser and OS from a noisy UA string.
Quickly validate analytics dashboards against raw logs.
Build a quick allow/deny list by inspecting the UA your real users send.

Contoh input/output

Niat input

Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/17.4 Safari/605.1.15

Niat output

browser: Safari 17.4
engine: WebKit 605.1.15
os: macOS 10.15.7
device: Desktop

Soalan lazim

How accurate is the detection?+

For mainstream browsers and operating systems, very accurate. For obscure or spoofed UAs the parser will still surface what it can find and flag the rest as Unknown.

Can it detect bots and crawlers?+

Yes — known crawlers (Googlebot, Bingbot, AhrefsBot, etc.) are recognized and labelled as bots so you can filter them out of analytics.

Is anything sent to a server?+

No. UA parsing happens entirely in your browser; nothing is uploaded.