How This User-Agent Parser Works
Paste a User-Agent string to parse user agent string content into structured fields, this user agent parser online tool runs it through a series of pattern checks, in a specific priority order, to extract the browser, engine, OS, device, and user agent cpu architecture, along with four boolean flags: isBot, isMobile, isTablet, and isDesktop. It doubles as a mobile user agent detector since isMobile is one of those four flags. Each field is detected independently, so a UA string that only exposes some information (many mobile UAs omit CPU architecture, for instance) still returns partial results for everything else rather than failing outright. The result reads like a user agent string decoder's structured breakdown, not just the raw string reformatted.
Why User-Agent Strings Are Messy
Browser detection from user agent strings is inherently a best-effort exercise, and the reason is historical: for decades, browsers have included tokens from other browsers in their own UA string purely for website compatibility. Nearly every modern browser's UA contains "Mozilla/5.0", most contain "like Gecko", and many non-Safari browsers still include a bare "Safari/" token because so many older sites checked for it. That's why detecting the actual browser requires checking distinguishing tokens (Edg/, OPR/, Firefox/, CriOS/) in a specific priority order rather than trusting any single substring, get the order wrong and Edge or Opera get misidentified as Chrome, since both are Chromium-based and carry a Chrome/ token too.
Bot Detection: What Counts as a Bot
An is bot user agent checker built on pattern matching, like the one behind this tool's isBot flag, looks for two categories of signal: explicit crawler naming (bot, crawler, spider, scraper) and non-browser HTTP client signatures (curl, wget, python-requests, axios, okhttp, and similar library-default UA strings). This catches the overwhelming majority of well-behaved bots and simple scripts, since most don't bother spoofing a browser UA. It does not catch a bot deliberately impersonating a real browser's UA string, which is trivial to do and common among bots specifically designed to evade basic detection, treat a clean (non-bot) result as "didn't obviously identify as a bot," not as proof of a real human visitor.
Common Uses
Debugging why a mobile-specific code path isn't firing for a particular device, checking whether a suspicious line in server logs came from a real browser or an automated client, verifying a reported user agent to os and browser combination actually meets a support matrix, and decoding a UA string pasted from a bug report or support ticket are the most common uses of this user agent string analyzer. Quickly answering what browser is this user agent when a screenshot or log only shows the raw string is a common secondary use, especially for older or less common browsers that aren't immediately recognizable by eye.
What This Tool Doesn't Do
This is a pattern-matching parser, not an authoritative source, a User-Agent string is just text the client sends and can be spoofed, edited, or fabricated entirely, nothing about parsing it proves the client is what it claims to be. It doesn't cover every device and browser combination that has ever existed, especially older or extremely niche ones, and it doesn't consult a live, continuously updated device database the way some commercial UA-parsing services do. It's also worth knowing the User-Agent header itself is gradually being deprecated in some browsers in favor of User-Agent Client Hints, a newer, more privacy-conscious mechanism, this tool parses the traditional User-Agent string format specifically.