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User Agent Parser
Paste any User-Agent string and get a structured breakdown – browser name and version, operating system, device type, and rendering engine – instantly.
✓ Free✓ No signup✓ Privacy first✓ Runs in your browser
User Agent Parser – ToolPremier

Parse User Agent strings · detect browser OS device · auto-detect your browser · free browser-based tool

How it works
Convert in three steps

1. Paste a User-Agent string

Copy a UA string from browser DevTools, a server log, an analytics export, or click Use my current UA to parse your own browser string automatically.

2. Review the parsed output

See the structured result: browser name, version, engine (Blink, Gecko, WebKit), operating system, OS version, and device type (desktop, mobile, tablet, bot).

3. Copy structured data

Get the parsed result as a formatted JSON object for use in logging, debugging, or analytics work.

FAQ
Common questions
A User-Agent string is a header sent with every HTTP request that identifies the client software making the request – browser name, version, operating system, and rendering engine. Servers use it for browser compatibility detection, analytics, bot filtering, and device-specific responses. The format is loosely standardized but historically inconsistent – modern Chrome, for example, includes Mozilla/5.0 and Safari in its UA string for legacy compatibility reasons.
The Mozilla/5.0 token at the start of modern browser UA strings is a legacy artifact. In the early web, Mozilla (Netscape) had better feature support, so servers would serve richer content to Mozilla UAs. Other browsers added Mozilla/5.0 to their own UA strings to avoid receiving stripped-down content. Similarly, Chrome includes Safari in its string because it shares the WebKit rendering engine. Modern UA parsing libraries see past this historical baggage to identify the actual browser.
Legitimate bots (Googlebot, Bingbot, social media crawlers) include identifying strings in their UAs – Googlebot, bingbot, Twitterbot, etc. Most UA parsers include a bot detection flag. Note that malicious bots often spoof browser UA strings and will not be identified by UA alone – for security-critical bot detection, use behavioral signals (request rate, JavaScript execution, honeypot links) alongside UA analysis.
For analytics and logging purposes, yes – parsing real browser traffic to understand your audience browser/OS/device distribution is reliable. For feature detection in code, no – User-Agent-based feature detection is brittle and has been superseded by the supports API, @supports in CSS, and explicit feature detection in JavaScript. The UA string tells you what the browser claims to be, not which features it supports.
Keep going
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About the User Agent Parser
User-Agent strings appear in server access logs, analytics pipelines, CDN dashboards, and security audit trails. Reading a raw UA string and extracting browser, OS, and device information manually is slow and error-prone. This parser decodes the string into a structured breakdown: browser, version, rendering engine, OS, OS version, and device category – with bot detection flagged separately. Paste any UA string from a log, DevTools, or analytics export, and get the parsed result instantly. Export as JSON for logging and pipeline use.
Benefits
  • Full breakdown - browser, version, rendering engine, OS, OS version, device type, and bot flag.
  • Paste any UA string or detect your current browser UA automatically.
  • JSON export - get the parsed result as a structured object for logging or pipeline use.
  • Covers modern and legacy UA formats - handles the Mozilla/5.0 historical inconsistency correctly.
Privacy
All parsing runs client-side. User-Agent strings from your logs or sessions are never transmitted to any server.