User Agent Parser
Parse a User-Agent string into browser, OS, device type, and version components
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About User Agent Parser
Parse Any User Agent String Instantly
Every HTTP request your browser sends includes a User Agent string - a line of text that identifies the browser, operating system, device type, and rendering engine. These strings look like absolute gibberish to the untrained eye. Something like Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36 is a perfectly normal user agent, but extracting meaningful information from it requires parsing. Our User Agent Parser breaks down any UA string into its individual components so you can see exactly what browser, OS, and device it represents.
What Information Is Hidden in a User Agent?
A single user agent string can tell you a surprising amount. Our parser extracts the browser name and version (Chrome 120, Firefox 121, Safari 17), the operating system and version (Windows 11, macOS 14 Sonoma, Android 14, iOS 17), the device type (desktop, mobile, tablet), the rendering engine (Blink, Gecko, WebKit), and whether the request comes from a bot or crawler (Googlebot, Bingbot, etc.). All of this information is packed into that single messy string, and our parser untangles it for you in milliseconds.
Why Developers Need a User Agent Parser
Web developers and QA engineers use user agent parsing for a variety of tasks. When debugging a browser-specific bug, the first question is always "what browser and version is the user running?" When analyzing server access logs, you need to identify which browsers and bots are hitting your site. When implementing feature detection as a fallback, knowing the browser version from the UA helps you decide which polyfills to serve. Marketing teams analyze user agent data to understand their audience - what percentage uses mobile versus desktop, which browsers dominate, and which operating systems are most common.
Bot and Crawler Detection
Not all HTTP requests come from humans. Search engine crawlers like Googlebot, Bingbot, and DuckDuckBot identify themselves in their user agent strings. So do social media crawlers (Facebook, Twitter, LinkedIn) that fetch link previews, SEO tools (Ahrefs, Semrush, Moz), monitoring services, and unfortunately, malicious scrapers. Our User Agent Parser identifies known bots and flags them clearly, which is invaluable when you are reviewing access logs to understand traffic patterns or detect suspicious automated access to your site.
Handling the Mess of Modern User Agents
Modern user agent strings are notoriously messy because of decades of browser history. Chrome identifies itself as "Mozilla/5.0" and claims to be "Safari" - not because it is lying, but because of a long chain of browser compatibility hacks dating back to the 1990s. Every browser pretends to be every other browser to some degree, which makes naive string matching unreliable. Our User Agent Parser uses comprehensive pattern matching that accounts for these historical quirks and correctly identifies the actual browser being used, not just the first name it encounters in the string.
Analyze Your Own User Agent
Curious what your current browser is reporting? The tool automatically detects and parses your own user agent string when you load the page, showing you exactly what information your browser sends to every website you visit. This is educational and also practically useful - you can see whether your browser is identifying itself correctly, whether any privacy extensions are modifying your UA string, and what servers see when you visit their sites.
Bulk User Agent Analysis
If you have a list of user agent strings from server logs or analytics exports, our parser can handle them one after another. Paste in a UA string, see the breakdown, copy the results, and move to the next one. For developers building analytics dashboards or log analysis tools, the parsing logic demonstrated here shows exactly what components to extract and how to handle edge cases in user agent string interpretation.
Private and Browser-Based
All parsing happens locally in your browser. Your user agent strings - which can contain information about your operating system, browser version, and device - are not sent to any external server. This is particularly important when analyzing user agent data from production server logs, which may be covered by privacy policies or data protection regulations. Use our User Agent Parser with confidence that the data stays on your machine.