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How do I visualize JSON as an interactive tree?

Paste your JSON and see it rendered as a collapsible tree with color-coded types (strings, numbers, booleans, nulls). Search for keys or values, copy JSONPath on hover, and control the expand depth. The tool shows data statistics including total keys, depth, and type counts. Everything runs in your browser.

Visualize nested JSON tree
Input
{
  "user": {
    "name": "Alice",
    "settings": {
      "theme": "dark",
      "notifications": true
    }
  }
}
Output
▼ {} root (1 key)
  ▼ {} user (2 keys)
      name: "Alice"
    ▼ {} settings (2 keys)
        theme: "dark"
        notifications: true

Depth: 3 | Keys: 4 | Size: 89B
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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.

Tips & Best Practices

Pro Tip

Collapse to depth 2 for a structural overview

Large JSON responses can have hundreds of nodes. Collapsing to depth 2 gives you the top-level structure — what keys exist, which are objects vs arrays — without drowning in leaf values. Expand individual branches to explore specific sections.

Common Pitfall

Large JSON files (10MB+) can freeze browser-based viewers

Tree rendering creates DOM nodes for every key-value pair. A 50,000-node JSON tree can make the browser unresponsive. For large files, use the search feature to find specific paths rather than expanding the entire tree, or filter the JSON to the relevant subset first.

Real-World Example

Copy JSON paths for use in code

Hover over any node to see its full path (e.g., data.users[0].address.city). Copy this path directly into your JavaScript (obj.data.users[0].address.city), Python (data['users'][0]['address']['city']), or jq (.data.users[0].address.city) code.

Security Note

Inspect API responses for accidentally exposed data

Use the tree view to audit API responses for fields that shouldn't be public: password hashes, internal IDs, email addresses, API keys, or admin flags. It's easier to spot sensitive fields in a visual tree than in raw JSON text.

Frequently Asked Questions

How do I visualize JSON data as an interactive tree?
Paste your JSON into DevBolt's JSON Visualizer and it renders an interactive tree with collapsible and expandable nodes. Each object and array becomes a node you can click to expand or collapse. Values are color-coded by type: strings, numbers, booleans, and nulls each have distinct colors. The tree auto-expands the first two levels on parse. Use the depth controls (L2, L3, L5, All) to expand to a specific level. Hover over any node to see and copy its JSON path.
What is the difference between a JSON tree viewer and a JSON formatter?
A JSON formatter outputs indented text with syntax highlighting — the result is still a text document you read linearly. A tree viewer like DevBolt's JSON Visualizer creates an interactive hierarchical display where you can collapse and expand sections, search for specific keys or values, copy individual paths, and navigate large documents without scrolling through thousands of lines. Tree viewers are better for exploring large, deeply nested JSON structures like API responses and configuration files.
How do I search and navigate large JSON documents?
Use the search bar (Ctrl+F) to find keys or values within the tree. Matching nodes are highlighted and the tree automatically expands to reveal matches. Use depth controls to collapse everything to a manageable level, then expand only the sections you need. Hover over any node to see its full JSON path (e.g., $.data.users[0].name), which you can copy for use in code or JSONPath queries. Statistics show total keys, depth, and type counts for quick document overview.

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