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JSON Explorer Online

Navigate deeply nested JSON structures with expand/collapse controls, path copying, and instant search. Perfect for exploring API responses and config files.

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JSON Visualizer & Tree Viewer

Paste JSON and explore it as an interactive, collapsible tree. Click nodes to expand/collapse, search for keys or values, and copy paths or data.

Samples:
Paste JSON to visualize the tree

About JSON Visualizer

  • Interactive tree — expand and collapse nodes to explore deeply nested JSON structures.
  • Search — find keys or values instantly with highlighted matches. Use Ctrl+F to focus the search bar.
  • Copy paths & values — hover over any node to copy its JSON path or value to your clipboard.
  • Depth control — expand to a specific depth level (L2, L3, L5) or expand/collapse everything.
  • Stats — see key count, nesting depth, type distribution, and size at a glance.
  • Everything runs in your browser — no data is sent over the network.

Navigating nested JSON

Deeply nested JSON is common in API responses, cloud configurations, and data pipelines. A JSON explorer lets you drill into specific branches without losing your place. Click any object or array node to expand it, and use depth controls (L2, L3, L5, All) to expand the entire tree to a specific level.

Copying JSON paths

Hover over any node and click 'path' to copy its JSON path (e.g., $.data.users[0].name). JSON paths are useful for writing code that accesses specific values, configuring JSON path queries, and documenting API response structures. You can also copy the full value of any node as formatted or minified JSON.

Frequently Asked Questions

What JSON path format does the explorer use?

The explorer uses dot notation with bracket syntax for arrays: $.data.users[0].name. The $ represents the root. This format is compatible with most JSON path libraries (JSONPath, jq).

Can the explorer handle large JSON files?

The explorer works well with JSON files up to several megabytes. For very large files, use the depth controls to avoid expanding thousands of nodes at once. The tree is rendered on demand — collapsed nodes don't consume rendering resources.

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