User Agent Parser
Inspect, dissect, and parse HTTP User-Agent strings into browser engines, operating systems, hardware architectures, and device categories locally in real time.
Parsing executes locally via deterministic regex analysis with zero external API calls.
Unknown 0.0
Unknown 0.0 • Unknown • unknown
Standard Web Client{
"browser": {
"name": "Unknown",
"version": "0.0",
"major": "0"
},
"os": {
"name": "Unknown",
"version": "0.0"
},
"engine": {
"name": "Unknown",
"version": "0.0"
},
"device": {
"type": "unknown",
"vendor": "Unknown",
"model": "Unknown"
},
"cpu": {
"architecture": "unknown"
},
"isBot": false,
"raw": ""
}Client-Side User Agent Inspector & Dissector
HTTP User-Agent strings contain vital diagnostic information regarding the client's browser build, rendering engine, operating system version, and device architecture. However, raw UA strings are notoriously convoluted with legacy browser tokens.
The User Agent Parser analyzes any User-Agent string in real time or automatically inspects your current browser environment, extracting clean structured metadata and JSON output without transmitting client data across the network.
Core Tool Capabilities
- Browser & Engine Detection: Identifies Chromium, Safari, Firefox, Edge, Opera, and rendering engines like Blink, WebKit, and Gecko.
- Operating System & Version: Detects Windows, macOS, iOS, Android, Linux, ChromeOS, and exact kernel release numbers.
- Device & Architecture Classification: Classifies form factor (desktop, mobile, tablet, bot) and CPU architecture (x86, ARM64).
- JSON Schema Export: Exports full parsed diagnostic data in clean, standard JSON for logging and integration.
Local Browser Privacy
Your files are processed locally on your device. Files are not uploaded, transmitted, or stored on remote servers.
Once the page has loaded, you can disconnect your network connection and continue using this tool offline.
Target Use Cases
- • Debugging Web Compat Issues
- • Bot & Crawler Detection
- • Analytics Validation
- • QA Testing
Technical Specifications & Platform Limits
Zero external network lookups or cloud dependencies
Comprehensive multi-category client profiling
Your user-agent string is never logged or stored
Instant one-click copyable payload
Step-by-Step Workflow
Provide User Agent
Paste any target User-Agent string or click 'Use My Browser' to inspect your current client.
Review Categorized Results
Examine parsed browser details, operating system build, engine, and device classification.
Test Sample Payloads
Click sample device buttons (e.g. iPhone, Windows 11, Googlebot) to test varying client headers.
Export JSON
Copy the structured JSON object for use in backend logging, testing, or analytics.
Practical Real-World Use Cases
Debugging Web Compat Issues
Diagnose cross-browser quirks and verify client capabilities from user error logs.
Bot & Crawler Detection
Identify search engine spiders, social preview crawlers, and automated traffic.
Analytics Validation
Verify that user-agent parsing logic in your analytics stack correctly categorizes devices.
QA Testing
Quickly obtain sample User-Agent strings for mobile and desktop browser simulation.
Frequently Asked Questions
- What is a User-Agent string?
- A User-Agent is an HTTP request header string that web browsers and crawlers send to web servers to identify their software version, operating system, and rendering capabilities.
- Does this parser send my user-agent to a server?
- No. The entire parsing routine is executed purely in client-side JavaScript in your browser.
- Can it detect search engine bots?
- Yes. The parser recognizes common bots such as Googlebot, Bingbot, DuckDuckBot, YandexBot, and standard web crawlers.
- How are modern User-Agent Client Hints related to this?
- While modern browsers are transitioning to User-Agent Client Hints, the standard User-Agent header remains the universal compatibility baseline across the web.
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Master this tool with Guides & Articles
Learn the workflows, common mistakes, and advanced techniques behind User Agent Parser - Analyze Device and Browser Data with our deep-dive educational content.
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