JSON Viewer
Paste, upload, or drop a JSON file and browse it as an expandable tree instead of scrolling through raw text. Search for a key or value and jump straight to it, however deeply it's nested.
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A JSON viewer built for real API responses
Large JSON documents — API responses, config files, exports from another tool — are often hundreds or thousands of lines of nested objects and arrays. Scrolling through raw text to find one field is slow and error-prone. The tree view on the right of the editor collapses that same document into nodes you expand one level at a time, with each object or array showing its child count up front, so you can see the shape of the data before you dig into it.
Click any row to select it, or use the search bar to jump straight to a key or value — matches are highlighted and their parent nodes expand automatically. Rows can be sorted A–Z (or reversed) for objects with many keys, and a density toggle switches between compact and comfortable spacing depending on how much you're browsing at once.
The tree stays in sync with the editor on the left in real time: edit the JSON there, and the tree updates instantly. Once you've found what you're looking for, switch the "View" dropdown to a live XML,YAML, orCSV conversion of the same document.
What does a JSON viewer do that a text editor can’t?
It turns a flat JSON string into a collapsible tree — every object and array becomes a node you can expand or collapse, with a live count of its children, so you can scan the shape of a deeply nested API response without scrolling through raw text.
Can I search inside the tree?
Yes. Open the search bar above the tree, type a key or value, and every match is highlighted with its parent nodes auto-expanded so you can see it in context. Use the up/down arrows or Enter / Shift+Enter to jump between matches.
Can I edit values directly in the tree?
Not directly — the tree is for browsing and searching. Make edits in the code editor on the left and they appear in the tree instantly, since both views are synced to the same document.
Does the viewer handle large JSON files?
Yes. Nodes are built lazily as you expand them and large sibling lists render in chunks as you scroll, so multi-megabyte documents with thousands of entries stay responsive instead of locking up the tab.