Free User Agent Parser (No Signup)

Parse User-Agent strings to identify browser, OS, and device information.

100% FreeNo Sign-upRuns in BrowserPrivacy First
User-Agent String
Parsed Result

Click "Parse User-Agent" or "Use My Browser's UA" to see results.

Overview

Every time a browser connects to a web server, it sends a User-Agent header—a long, confusing string of text intended to identify the client software. However, due to decades of historical browser wars and spoofing (where browsers pretend to be other browsers for compatibility), these strings have become notoriously difficult for humans to read. For example, almost every modern browser starts its string with Mozilla/5.0. Our User-Agent String Parser acts as an instant decoder ring, untangling these cryptic headers into structured, actionable data.

This tool is essential for anyone dealing with web analytics, server logs, or frontend debugging. Simply paste a messy string from your logs, and the parser will instantly extract the precise Browser Name (e.g., Chrome), Engine (e.g., Blink), Operating System (e.g., Windows 10), and Device Type (e.g., Desktop or Mobile). This structured breakdown takes the guesswork out of identifying your users. If you are extracting these strings from massive JSON logs, you might also find our JSONPath Tester useful for querying your data first.

Security and confidentiality are critical when dealing with server logs, as they often contain internal IP addresses and proprietary traffic patterns. We built this parser to operate entirely within your web browser. The tool utilizes an advanced local regex engine to analyze the string, meaning your data never leaves your computer. If you are also dealing with complex URLs found within those same server logs, our URL Query Parser is a perfect companion tool.

Stop relying on trial and error to understand your traffic. Use this free, instant, and private utility to accurately identify exactly what devices are interacting with your web applications.

Key Features

Instant Breakdown: Paste a complex User-Agent string and instantly view the extracted Browser, Operating System, and Device type.
Comprehensive Detection: Recognizes hundreds of browsers, mobile devices, bots, and crawlers (including Googlebot and Bingbot).
Version Extraction: Accurately isolates the major and minor version numbers of both the browser and the operating system.
Current Browser Detection: Automatically detects and parses your own browser's User-Agent on page load for immediate context.
100% Client-Side Privacy: The parsing logic executes locally, meaning your proprietary server logs are never exposed to external databases.

How to Use User-Agent String Parser

1When you open the tool, it will automatically display and parse the User-Agent string of the browser you are currently using.
2To analyze a different string, paste it directly into the main text input area.
3The tool will instantly process the text without requiring you to click a button.
4Review the organized panels below, which clearly separate the data into Browser, Operating System, and Engine details.
5Use the data to pinpoint exactly which software stack is causing a bug or triggering a server request.

Benefits

  • Speeds Up Bug Fixing: Quickly determine if a reported layout issue is specific to an outdated version of Safari on an older iPhone.
  • Enhances Security: Identify whether a suspicious spike in traffic is coming from legitimate browsers or automated bot crawlers.
  • Maintains Log Privacy: Analyze sensitive, internal server logs safely, knowing the strings are not being transmitted over the internet.
  • Improves Analytics: Understand exactly what devices your audience uses, helping you prioritize mobile or desktop development.

Common Use Cases

Backend Developers

Analyze raw Apache or Nginx server access logs to determine the ratio of real users versus automated web crawlers hitting your API.

Frontend Engineers

Debug a specific CSS or JavaScript bug reported by a user by pasting their provided User-Agent string to replicate their exact browser environment.

Data Analysts

Clean up and categorize messy raw tracking data before importing it into a dashboard to understand the true device breakdown of a marketing campaign.

Tips & Best Practices

  • Be aware that User-Agent strings can be easily 'spoofed' (faked) by malicious users or automated scripts. Never rely on them for strict security authentication.
  • If you see the word 'Mobile' in the string, it is almost certainly a smartphone. If you see 'Tablet' or 'iPad', it requires different responsive breakpoints.
  • Google has begun freezing or reducing the information in User-Agent strings (Client Hints API). However, analyzing legacy strings remains a critical backend task.