User agent parser

Free User Agent Parser Tool

The User Agent Parser identifies a visitor’s browser, operating system, device type, and rendering engine from any user-agent string. It saves time by turning cryptic UA text into readable insights for debugging and analytics. Use it when you need quick, reliable user environment detection for logs, support tickets, and A/B testing.

What is User Agent Parser?

The User Agent Parser is a diagnostic tool that converts raw user-agent strings into structured information, including browser name and version, OS and version, device type (mobile, tablet, desktop), and rendering engine. Instead of manually deciphering “Mozilla/5.0 …” lines, you get clear, actionable details in seconds.

On Monkey Type, the User Agent Parser is built for fast troubleshooting, QA, and analytics segmentation. Paste a user-agent from logs or a support report, then instantly see normalized results you can copy to your bug tracker or analytics notes. It’s ideal for teams that need consistent environment data without writing code.

Because the user-agent is part of HTTP headers, you can also validate a live request’s headers with the HTTP Header Checker, or correlate UA insights with geolocation data via IP Lookup for a fuller diagnostic picture.

Why Use User Agent Parser?

• Fix browser-specific bugs fast: When a bug report says “it breaks on Safari,” parse the user agent to confirm the exact Safari/WebKit version and OS. Then reproduce the issue precisely and resolve it faster.
• Improve analytics accuracy: Segment traffic by device class or browser to understand performance and conversion differences. Use this insight to prioritize optimizations where they matter most.
• Strengthen support workflows: Support teams can paste user agents from tickets to normalize environment details, improving triage quality and reducing back-and-forth with customers.
• Tailor experiences safely: While feature detection is best practice, UA data helps inform progressive enhancement strategies and fallback decisions during rollouts.
• Filter suspicious traffic: Quickly identify known bot patterns or mismatched UA signatures during incident response; pair with DNS Lookup to investigate origins.

When troubleshooting live HTTP requests, combine parsed UA data with header-level insights from the HTTP Header Checker for complete context.

How to Use User Agent Parser on Monkey Type

1. Open the tool: Go to the User Agent Parser on Monkey Type.
2. Paste a user-agent string: Copy the UA from a log, analytics tool, or support ticket and paste it into the input field.
3. Click “Parse”: The tool extracts browser, OS, device type, and engine details instantly.
4. Review structured output: See normalized names and versions (for example, “Chrome 124,” “Windows 11,” “Desktop,” “Blink”).
5. Copy or export: Copy the results or export them if available. For readability or downstream usage, format the JSON with the JSON Formatter.
6. Optional validation: If you captured a live request, cross-check the request headers using the HTTP Header Checker to ensure the UA was transmitted as expected.

Expected result: a clear breakdown of browser, OS, device class, and rendering engine, plus any known bot indicators where detectable.

Key Features

• Accurate browser/OS detection: Normalizes vendor-specific naming so teams can compare environments consistently.
• Device classification: Identifies desktop, mobile, tablet, and some smart TV or console signatures.
• Engine and version parsing: Pulls WebKit, Blink, Gecko, or EdgeHTML details for deeper rendering insights.
• Bot and crawler signals: Flags common bot patterns to help security and SEO teams triage traffic.
• Copy-friendly output: Structured fields ready for bug reports, dashboards, or analytics notes.
• Batch-friendly workflow: Paste multiple lines one by one and quickly process each; for large data sets, pre-clean with the Regex Tester or URL Decoder.

Best Practices & Tips

• Treat UA as advisory, not absolute: User-agent strings can be spoofed. For sensitive decisions, corroborate with IP/network data via IP Lookup or ownership details using WHOIS Lookup.
• Prefer feature detection for functionality: Use UA parsing for analytics and debugging, not for hard-gating features.
• Handle unknowns gracefully: Some UA strings are incomplete or custom. Default to “Unknown” values and avoid breaking flows.
• Normalize versions for reporting: Round granular versions as needed (for example, major.minor) to simplify dashboards and comparisons.
• Keep privacy in mind: Do not paste sensitive data from logs. Sanitize before sharing output with external stakeholders.
• Validate live behavior: If something looks off, confirm headers with the HTTP Header Checker and check certificate integrity using the SSL Checker.

Common Use Cases

• Support triage: Quickly decode UA from tickets to confirm exact browser/OS and escalate to the right team.
• Bug reproduction: QA teams replicate issues with the same environment specified in the parsed UA to verify fixes.
• Analytics segmentation: Compare performance across browser families and device types to prioritize optimizations.
• Security investigations: Identify botlike UAs and correlate with IP reputation using IP Lookup or host data via DNS Lookup.
• SEO crawling insights: Spot major crawler UAs to validate site accessibility and monitor unusual crawl patterns alongside the HTTP Header Checker.

Frequently Asked Questions

What is a user-agent string?

A user-agent string is an HTTP header value that identifies the client software and environment, such as browser, rendering engine, operating system, and device type. The User Agent Parser turns this text into structured details for easy debugging and analytics.

How accurate is the User Agent Parser?

It reliably identifies major browsers, OS versions, and device classes. However, UA strings can be spoofed or truncated. For critical decisions, verify context with network data using IP Lookup or host lookups via DNS Lookup.

Can the User Agent Parser detect bots?

It flags common bot indicators and known crawler patterns. For stronger validation, combine UA insights with header analysis from the HTTP Header Checker and IP intelligence using IP Lookup.

How can I find my current user agent?

Visit a page that shows your HTTP headers or make a test request and inspect the “User-Agent” header. On Monkey Type, you can confirm the header using the HTTP Header Checker, then paste it into the User Agent Parser.

Does using this tool affect my website’s SEO?

No. The User Agent Parser is a diagnostic tool. Use it to validate crawler UAs and check how bots access your site. If you notice anomalies, confirm server response behavior with the HTTP Header Checker to ensure correct status codes and headers for crawlers.