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JSON VISUALIZER

Paste any JSON, get it validated, and explore it as a tree, a table, or an interactive mindmap. Nothing leaves your browser.

1

Validated and visualized entirely in your browser — nothing is uploaded anywhere.

How to visualize JSON

  1. 1

    Paste your JSON into the input box, or click "Use sample" to try it out.

  2. 2

    Invalid JSON shows the parse error with a "Jump to line, column" link.

  3. 3

    Once it's valid, switch between Tree, Table, and Mindmap using the tabs.

  4. 4

    In Tree or Mindmap, click any object or array to expand or collapse it — use "Expand all" / "Collapse all" to jump straight to fully open or closed.

  5. 5

    In Table, click a cell that previews an object or array (like "{2 keys}" or "[3 items]") to expand it into a nested table right inside that cell.

  6. 6

    In Mindmap, drag to pan and scroll to zoom around large documents.

  7. 7

    Click "Fullscreen" to expand any view to fill your screen — press Escape or click "Exit fullscreen" to return.

Questions

Is my JSON uploaded anywhere?
No. Parsing and every visualization is generated locally in your browser with plain JavaScript — the data never leaves your machine.
What's the difference between the Tree, Table, and Mindmap views?
Tree is a collapsible, DevTools-style outline that shows the exact structure and every value — best for reading and debugging. Table turns an array of objects into spreadsheet-style rows and columns, or (for any other shape) a key/value grid — any cell that holds an object or array expands in place into its own nested table, so you can drill into structure without losing your position. Mindmap draws the same structure as a pannable, zoomable node diagram — best for getting a feel for how a large or deeply nested document is shaped.
Which view should I use for an array of records, like API results?
Table. If the root is an array of plain objects, it's rendered as a spreadsheet with one column per key. A cell whose value is itself an object or array starts collapsed to a one-line preview — click it to expand a nested table right inside that cell, table-in-table, as deep as the data goes.
Can it handle deeply nested or very large JSON?
Yes, with no artificial size limit — the only ceiling is your browser's memory and CPU. Tree and Mindmap start with deep branches collapsed so huge documents still render instantly; expand only the parts you need, or use "Expand all" (you'll get a heads-up first if a document is large enough that expanding everything could make the tab sluggish).
What happens if my JSON is invalid?
You'll see the parse error and, when the problem can be located, a "Jump to line, column" link that moves your cursor straight to the offending character in the input — visualization only runs once the document parses.