JSON Tree Viewer
Render JSON as a collapsible hierarchy tree — deep nesting becomes readable at a glance, with precise error locating.
>_ USAGE GUIDE
Paste JSON and it renders instantly as a collapsible hierarchy tree: objects, arrays, and key-value pairs laid out with indentation, so deeply nested structures become readable at a glance. Collapse and expand any level, and drill into a specific field directly instead of scrolling through ten thousand formatted lines hunting for the right bracket.
- Paste your JSON: valid input renders as an interactive tree immediately
- Collapse to the skeleton: fold everything and scan the top-level keys to grasp the data shape
- Expand what you need: open only the branch you care about and keep the noise folded away
- Pair with the JSON Formatter: use that tool for validation and line-and-column error locating, and this tree for browsing
The two tools together cover both ways of reading JSON: verifying syntax and understanding structure. Rendering happens locally in your browser — your data is never uploaded, and the page works offline once loaded.
>_ FAQ
Q1 · What is the difference between a JSON Formatter and a JSON Tree Viewer?
The formatter outputs plain text, which suits copying, editing, and syntax checking with errors located to line and column. The tree viewer outputs an interactive hierarchy, which suits browsing and understanding — collapse irrelevant branches, focus on the nodes you care about. Read data in the tree, change data in the formatter; the combination is the fastest workflow.
Q2 · How do I read JSON that is nested a dozen levels deep?
Fold your way in: collapse everything first and read only the top-level keys to understand the skeleton, then expand the one branch you need. The tree's value is exactly this on-demand expansion — your attention narrows to the subtree that matters instead of facing the full depth at once. Drilling in level by level beats full-text search for staying oriented.
Q3 · How are arrays displayed?
Arrays expand as ordered child nodes by index ([0], [1], ...), each element collapsible in turn. For very large arrays of thousands of records, filter first with the JSONPath Query tool, then explore the result set in the tree — that pairing is the standard workflow for large JSON documents.
Q4 · What if my JSON has a syntax error?
The tree needs a successful parse first. When input is invalid, switch to the JSON Formatter — it pinpoints the exact line and column and names the error type. Fix the input there, then come back to render the tree. Remember the division of labor: formatter to debug, tree to browse.
Q5 · Can it handle large JSON documents?
Yes — rendering is local and fast for typical API responses and data dumps. For documents with very large arrays, collapse by default and use JSONPath to filter before exploring, which keeps the visible tree small and your reading focused. Nothing is uploaded either way; the page also works offline.