API Response Viewer
Format and analyze API responses
API Response Viewer is a free online tool from BrowserUtils that format and analyze api responses. It runs entirely in your browser — your data never leaves your device. No account required.
Paste an API response above
Supports JSON, XML, HTML, and plain text
How to use API Response Viewer
- 1 Paste or type your input into the editor above.
- 2 The tool processes your data instantly — right in your browser, with nothing sent to a server.
- 3 Copy the result with one click or continue editing your input.
About API Response Viewer
Free online API response viewer. Paste JSON or XML API responses to get formatted output with structure analysis, data type summary, and size information. This tool runs entirely in your browser — your data is never sent to a server. Just paste your input, get instant results, and copy with one click. No sign-up or installation required.
API Response Viewer specs
- Runtime
- 100% client-side (browser)
- Built on
- WHATWG URL API and Headers/Fetch standards as implemented by modern browsers
- Cost
- Free — no account, no rate limits, no usage caps
- Browser support
- Chrome 90+, Firefox 88+, Safari 14+, Edge 90+
- Part of
- 299 developer tools on BrowserUtils (100% client-side)
Questions
What formats are supported?
The viewer auto-detects JSON, XML, and plain text responses. JSON and XML are formatted with proper indentation, and structure analysis is provided for JSON responses.
What analysis is provided?
For JSON responses, the viewer shows data size, nesting depth, key count, array lengths, and a data type breakdown (counts of strings, numbers, booleans, nulls, objects, and arrays).
Is my API response data kept private?
Yes, all parsing and formatting happens locally in your browser. Your API response data is never sent to any external server.
How is the API response viewer different from the JSON formatter?
The JSON formatter only formats JSON. The API response viewer auto-detects the format (JSON, XML, or text), formats it, and provides structural analysis like nesting depth, key counts, and data type summaries.
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