User Agent Finder

Introduction

The User Agent Finder identifies and decodes the User-Agent string sent by a browser or client. It extracts useful details such as browser name and version, rendering engine, operating system, device type (desktop/tablet/phone), CPU architecture, and common bot signatures. This tool is handy for developers, QA, support teams, and site owners who need to understand how visitors appear to servers and to troubleshoot compatibility or analytics issues.

What is this tool?

A User-Agent string is a text header included with HTTP requests that describes the client software. Modern UAs can be long and contain multiple tokens (browser, engine, OS, platform, and extensions). This tool parses that string into human-readable fields and highlights likely bot/crawler signatures, mobile vs. desktop, and any notable features that impact rendering or behavior.

Why use this tool?

• Debugging and compatibility: Identify which browser/version caused an issue in logs and reproduce fixes.
• Analytics validation: Verify how user agents are reported and spot bot traffic skewing metrics.
• Support triage: Quickly tell a user which browser and OS they’re using so you can advise steps (clear cache, update browser).
• Bot detection: Spot common crawlers and automated clients to adjust rate limits, robots rules, or analytics filters.
• Feature gating: Decide whether to serve polyfills or alternate content based on client capabilities.

How to use it

1. Load the page and the tool will auto-detect your current browser’s User-Agent, or paste any User-Agent string into the input field.
2. Click “Parse” (or use the auto-parse option) to see structured output: browser, version, engine, OS, device type, architecture, and bot likelihood.
3. Use the copy button to copy the original UA or the parsed result for tickets, analytics rules, or troubleshooting.
4. If needed, paste the parsed fields into bug reports, compatibility matrices, or server rules.

Example

Input (User-Agent):

Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/118.0.5993.117 Safari/537.36

Parsed output (sample):

• Browser: Chrome 118.0.5993.117
• Engine: Blink (webkit token present)
• OS: Windows 10 (Windows NT 10.0)
• Device type: Desktop
• Architecture: x64
• Bot: No (no known bot signature)

FAQ

Do you store the User-Agent I check?
No—lookups are used to parse and display results in real time and are not retained. If your implementation logs inputs for debugging, document this in your Privacy Policy and provide an opt-out where appropriate.

How accurate is parsing?
Parsing is best-effort based on known UA patterns and popular parsing libraries. Browser vendors sometimes change UA formats (or reduce details), and some clients intentionally obfuscate or freeze UA tokens, so results may be approximate.

Can this detect bots reliably?
We detect common crawler signatures (Googlebot, Bingbot, etc.) and suspicious tokens, but bot detection by UA alone is imperfect. Combine with IP, request behavior, and rate metrics for more reliable detection.

Why does my browser show a generic UA?
Some browsers (privacy mode or newer versions) reduce or standardize UA strings for fingerprinting resistance. Use feature-detection on the client or server-side capabilities detection for robust handling.

How should I use parsed data?
Use it for debugging, analytics filtering, support, and conditional feature serving. Avoid using UA parsing as the sole security control—treat it as an informative signal, not an authoritative identity.