User-Agent Analyzer
Detect your browser, operating system, device, and analyze User-Agent strings online.
Online User-Agent Analyzer
Detect your browser, operating system, device, rendering engine, and analyze User-Agent strings in a clear and practical way for technical support, development, QA, technical SEO, and bot checks.
You can analyze your current environment automatically or paste a User-Agent string manually to get a detailed breakdown.
1) Automatic browser detection
When the page loads, the tool can automatically detect the basic technical details of your current browser to answer questions like what browser am I using, what operating system do I have, or what device does a website detect.
2) Analyze a User-Agent string manually
Paste any User-Agent here to identify the browser, version, operating system, device type, engine, and whether it appears to belong to a known bot or crawler.
No User-Agent string has been analyzed yet.
3) Additional browser information
Besides the User-Agent itself, this section can show useful data from your current browser for technical support and quick diagnostics.
4) User-Agent comparator
Compare two User-Agent strings to spot differences in browser, operating system, device, or engine. This is especially useful for QA, support, and compatibility testing.
5) Original User-Agent string
Seeing the original string is useful for support tickets, issue tracking, technical documentation, and manual validation.
How does this tool work?
The analyzer interprets the User-Agent string and turns it into readable data: browser, version, operating system, device type, architecture, engine, and possible bot identification. At the same time, it can also collect extra details from the current browser, such as language, screen resolution, or time zone, to provide a more complete technical overview.
This makes it a practical utility for questions like what browser am I using, what User-Agent does my device have, how to detect a bot, or how to identify the operating system of a website visitor.
What is a User-Agent and what is it used for?
A User-Agent is a text string that a browser, application, or bot sends to the server to identify itself. It usually includes information about the browser, operating system, architecture, or device type. Although it is not always perfect or fully reliable, it is still a very useful reference for support, development, debugging, technical analytics, and web compatibility tasks.
With an analyzer like this one, you can interpret that string without reading complex fragments manually. Instead of reviewing long and hard-to-read text, you get a clear view of the most relevant components for making quick decisions.
For technical support
It helps determine whether an issue happens in a specific browser, an outdated version, a particular operating system, or a certain mobile device.
For development and QA
It helps validate compatibility, segment tests, review rendering issues, and understand the real access environment of a user or client.
For technical SEO
It is useful for reviewing bot access, crawlers, and automated agents, as well as analyzing differences between human and automated traffic.
For web analytics
It makes it easier to interpret logs, server requests, technical reports, and events where the User-Agent string appears as raw data.
How to use this User-Agent parser
- Detect your environment automatically or paste a User-Agent string manually into the analysis field.
- Run the analysis to get a structured reading of the browser, operating system, device, and engine.
- Review the results and compare them with the issue, access, or technical case you are analyzing.
- Use the information for support, debugging, test segmentation, technical reports, or bot review.
Information this tool can detect
| Data | Description | Real-world use |
|---|---|---|
| Browser | Identifies whether the access comes from Chrome, Firefox, Safari, Edge, Opera, or other compatible browsers. | Error diagnosis, compatibility testing, and user support. |
| Version | Shows the detected or approximate browser or application version. | Detect old versions, incompatibilities, or version-specific behavior. |
| Operating system | Recognizes platforms such as Windows, macOS, Linux, Android, iOS, and others. | Technical support, issue segmentation, and environment validation. |
| Device type | Classifies the access as desktop, mobile, tablet, or bot. | Responsive design, UX analysis, and technical traffic review. |
| Browser engine | Can detect engines such as Blink, WebKit, or Gecko depending on the submitted string. | Advanced rendering diagnostics and browser behavior differences. |
| Bot or crawler | Flags matches with known automated agents or crawlers when possible. | Technical SEO, logs, monitoring, and automated traffic filtering. |
Real use cases
1. Support and customer service
When a user says a website does not load correctly or a button is not working, the User-Agent can help determine whether the issue may be related to an outdated browser, an embedded app, a specific phone, or a certain operating system version.
2. Frontend development
It is very useful for reviewing CSS, JavaScript, forms, fonts, embedded videos, local storage, cookies, or general browser compatibility issues.
3. Log analysis
In server, proxy, WAF, or CDN logs, the User-Agent often appears as an unformatted string. Turning it into readable data speeds up interpretation and diagnostics.
4. Technical SEO and crawling
It helps review whether certain accesses correspond to bots, crawlers, or automated tools. It also helps study crawling patterns and distinguish human traffic from technical traffic.
5. QA and compatibility testing
Testing teams can use this information to document test environments, reproduce bugs, and classify validation results by browser and platform.
6. Security and technical control
Although it does not replace a security solution, the User-Agent can provide additional context when reviewing unusual access, automations, suspicious bots, or irregular patterns.
Benefits of using an online User-Agent analyzer
- Saves time: avoids manually interpreting long and hard-to-read strings.
- Reduces errors: presents the information in a structured and easier-to-understand way.
- Improves support: allows you to request and review technical details quickly.
- Makes documentation easier: helps record incidents with better technical context.
- Useful for multiple profiles: helpful for developers, technicians, analysts, SEOs, and customer support teams.
Limitations to keep in mind
A User-Agent is a useful source of information, but it should not be treated as absolute proof. Some browsers reduce or simplify details, certain applications customize the string, and many bots can imitate real browsers. For that reason, if you are analyzing a sensitive case, it is best to combine this reading with other technical data such as HTTP headers, IP address, screen resolution, language, browsing behavior, server logs, or additional validation methods.
- The detected version may be approximate in some cases.
- Some strings include legacy compatibility tokens and do not reflect the exact environment.
- Certain mobile apps use embedded browsers with their own identifiers.
- Bot classification depends on known patterns and is not always conclusive.
Privacy and data handling
This tool is designed to analyze User-Agent strings for technical, informational, and support purposes. The result should be interpreted as a technical context signal, not as a personal identification method. A User-Agent can help describe an access environment, but by itself it does not uniquely identify a specific person.
Whenever you work with user data, follow good privacy and minimization practices: collect only the information you actually need, explain the technical use of the data, and avoid storing more context than necessary.
Frequently asked questions about User-Agent
How can I know which browser I am using?
This tool can automatically detect your browser and show its name and approximate version. You can also copy your User-Agent manually and analyze it if you need it for support or debugging.
Can it detect the operating system?
Yes. In many cases it can identify whether the access is coming from Windows, macOS, Linux, Android, iOS, or other platforms, as long as that information is present in the submitted string.
Can it tell if I am on mobile or desktop?
Usually yes. The parser can classify the access as mobile, tablet, or desktop according to the most common User-Agent patterns.
Is it possible to detect bots or crawlers?
In many cases yes, especially when the agent identifies itself in a recognizable way. Even so, some bots can fake their User-Agent, so it is wise to review additional signals if you need more certainty.
Is the User-Agent always reliable?
Not 100%. It is a useful signal, but it can be modified, shortened, or spoofed. It should be used as a technical reference, not as absolute truth.
Who is this tool useful for?
It is useful for developers, technical support teams, QA teams, web analysts, system administrators, SEO specialists, and anyone who needs to understand the technical environment behind a website visit.
Conclusion
A good User-Agent analyzer turns a complex technical string into clear and actionable information. Whether you want to solve issues, review compatibility, interpret logs, investigate bots, or simply know which browser you are using, this tool provides a fast and useful reading of the browsing context.
If you work in web development, support, technical SEO, or analytics, having an online User-Agent parser at hand can save time and improve the quality of your diagnostics.