zippydevtoolsNetwork and HTTP
User-Agent Parser
Identify browser, operating system, device type, and engine from a User-Agent string.
- A User-Agent alone does not identify a person, but full logs can include IPs, cookies, or tokens.
Process the input to see the result here.
Identify browser, operating system, device type, and engine from a User-Agent string. User-Agent Parser uses User-Agent (textarea, required) and returns a browser-generated result that can be reviewed before copying.
When to use
Use User-Agent Parser when your workflow needs identify browser, operating system, device type, and engine from a user-agent string. Example workflow: Mozilla/5.0 ... Chrome/126.0.0.0 Safari/537.36 -> Browser, version, operating system, and device in JSON..
Input
Enter the data requested by the tool. Fields: User-Agent (textarea, required). Example input: Mozilla/5.0 ... Chrome/126.0.0.0 Safari/537.36
Output
The tool returns a processed result to copy or review. Example output: Browser, version, operating system, and device in JSON.. Then use related tools to validate, convert, or continue the same workflow.
- Open the tool and review the expected input type. Fields: User-Agent (textarea, required).
- Paste, upload, or fill in the requested data in the form. Start from the example pattern: Mozilla/5.0 ... Chrome/126.0.0.0 Safari/537.36.
- Run the processing step and read validation messages if they appear.
- Review the result, copy only what you need, and validate it before production use.
- Identify a browser: Use User-Agent Parser in this workflow: Mozilla/5.0 ... Chrome/126.0.0.0 Safari/537.36 -> Browser, version, operating system, and device in JSON..
- browser detection: Use User-Agent Parser for browser detection directly in the browser.
- Invalid or incomplete input: If the tool rejects the input, review these fields and formats before trying again: User-Agent (textarea, required). Review required fields, accepted formats, and validation messages before using the result.
- Sensitive data: Processing runs in the browser, so review any sensitive data before pasting, uploading, or sharing it. Avoid sharing results until you review tokens, documents, files, or personal data involved.
- Large inputs: Very large files or text can take longer in the browser and should be validated before critical workflows.
Identify a browser
Input: Mozilla/5.0 ... Chrome/126.0.0.0 Safari/537.36
Output: Browser, version, operating system, and device in JSON.
What is User-Agent parsing for?
It helps debug browser-specific bugs, identify mobile traffic, recognize bots, and understand request differences.
Is detection perfect?
No. User-Agent strings can be incomplete or spoofed; use the result as debugging context, not definitive proof.
Does it identify bots?
It flags simple bot or crawler signals, but robust detection requires additional backend rules.
Can I use it with server logs?
Yes. Paste the User-Agent value from logs, headers, or observability tools.
Is the User-Agent sent to a server?
No. Analysis runs locally in your browser.
How do I use this tool safely?
Use the tool as a short workflow: review the expected input, run processing, and validate the output: Fields: User-Agent (textarea, required). Example workflow: Mozilla/5.0 ... Chrome/126.0.0.0 Safari/537.36 -> Browser, version, operating system, and device in JSON.. Enter the requested input, run the tool, and review validation messages or warnings before copying the result.
Which inputs and outputs should I check?
Check this tool's input fields, examples, and output before using the result: User-Agent (textarea, required). Use the fields, formats, and limits described in the tool interface; review the output before applying it to critical workflows.