User-Agent Parser

Parse and analyze User-Agent strings instantly. Paste your User-Agent, click Parse, and see browser, OS, and device info.
All operations are performed in your browser. No data is sent to any server.

How to use:

  1. Paste your User-Agent string into the input box above.
  2. Click Parse to analyze the string.
  3. See the detected Browser, OS, and Device below.
Example:
User-Agent:
Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36
Browser: Chrome
OS: Windows NT 10.0
Device: Desktop

User-Agent Parser: Know Your Visitors Instantly

Every device, browser, and bot that visits your site leaves a digital fingerprint: the User-Agent string. I’ve used these strings to debug issues, personalize content, and even block unwanted traffic. But let’s be honest—User-Agent strings are cryptic! That’s why a good User-Agent Parser is a must-have for any web professional.

This tool is for developers, marketers, and anyone who wants to understand their audience. Paste a User-Agent, click Parse, and instantly see browser, OS, and device info—no more guesswork, no more manual decoding.

Why Use a User-Agent Parser?

  • Debugging: Quickly identify browser quirks and compatibility issues.
  • Personalization: Tailor content or features based on device or browser.
  • Privacy First: All parsing happens in your browser. Your data stays private.
  • Security: Spot bots, scrapers, or suspicious traffic patterns.

Tips from Experience

User-Agent strings change often—always test with real data. And don’t forget: some bots spoof User-Agents, so use this tool as a first step, not the only check.

I use this parser for everything from troubleshooting mobile bugs to analyzing analytics logs. It’s a small tool with big impact.

Final Thoughts

In the world of web analytics and debugging, knowledge is power. This User-Agent Parser gives you instant insight—fast, private, and always ready. Next time you need to decode a visitor, remember: Ferry Irwandi’s got your back, making sense of the web’s fingerprints.