JSON Viewer
Paste any JSON and explore it as an expandable, color-coded tree — then search by key, by value, or both to jump straight to what you're looking for.
Overview
Long or deeply nested JSON is hard to read as one block of text, even after it's been formatted. A tree view fixes that by turning the document into expandable branches — objects and arrays collapse down to a count of what they contain, so you can drill into only the part you care about instead of scrolling past everything else.
Search makes that navigation faster on larger documents. Type a key name, part of a value, or both, and matching nodes are highlighted with their full ancestor path expanded automatically — so you can see exactly where each match sits in the structure, not just an isolated key or value with no context.
Everything runs client-side using the browser's native JSON parser. Nothing you paste is uploaded, logged, or sent to a server, which matters when the JSON you're inspecting contains tokens, internal IDs, or other data you'd rather keep local.
Examples & Sample Data
Nested object with an array
{"user":{"name":"Adikya","active":true,"roles":["admin","editor"]}}
A tree with a "user" branch containing name, active, and an expandable "roles" array of 2 items.
How It Works
- Paste your JSON into the input box, or type it directly.
- Click View to parse it and render the result as a collapsible tree.
- Click any branch's toggle to expand or collapse it, or use Expand All / Collapse All.
- Type into the search box to find a key or value — choose whether to search keys, values, or both.
- Matching nodes are highlighted with their full ancestor path expanded, so you can see where each result sits in the structure.
- If the input isn't valid JSON, an error message explains why instead of a partial or guessed tree.
Common Use Cases
Exploring a large API response
Paste a big, deeply nested response and collapse the parts you don't need so you can focus on one branch at a time.
Finding a specific field fast
Search by key to jump straight to a field buried several levels deep in a config file or payload, without manually expanding every branch.
Locating a value across a document
Search by value to find every place a particular ID, string, or flag appears, with the surrounding structure shown for context.
Reviewing a config file's structure
Get a quick visual sense of how a JSON config is organized — which sections exist and how deeply they're nested — before editing it.
Tips & Best Practices
- Search matches are case-insensitive and match on partial text, so searching "admin" also finds "administrator".
- Switch search mode to Values only when you're looking for a piece of data rather than a field name, or Keys only when you know the field name but not where it lives.
- Clearing the search box returns the tree to whatever expand/collapse state you had before searching — it doesn't reset your manual expand/collapse choices.
- This tool validates against strict JSON syntax, same as JSON Formatter — trailing commas, single-quoted strings, and comments will be reported as errors.
- Very large or deeply nested JSON may render slowly since the whole tree is built in your browser rather than on a server.
Frequently Asked Questions
No. Parsing, rendering the tree, and searching all happen entirely in your browser using JavaScript.
Yes. The default search mode checks both keys and values; switch to Keys only or Values only for a narrower search.
Search shows the full ancestor path down to each match, expanded, so you can see where it sits in the structure — not just an isolated key or value with no context.
No hard limit is enforced, but very large or deeply nested inputs may be slow to render since the tree is built entirely in your browser.
No. This tool validates against strict JSON syntax, so comments and other JSON5 extensions will be reported as errors.
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