Stax
Tools

JSON Tree Viewer

Visualise JSON as an interactive collapsible tree.

{
name"Stax"string
version"1.0"string
features[
0"JSON"string
1"XML"string
2"CSV"string
]
meta{
author"Harshil"string
year2025number
opentrueboolean
}
count42number
activenullnull
}

Click any object or array node to expand/collapse.

How the JSON Tree Viewer works

The JSON tree viewer transforms flat JSON text into an interactive collapsible tree with colour-coded types, path breadcrumbs, and node search. It handles deeply nested API responses, Elasticsearch documents, Kubernetes manifests, and any large JSON file that is unreadable as plain text. All processing happens client-side — your JSON data never leaves the browser.

Navigating nested JSON structures

Complex API responses can be dozens of levels deep with arrays of objects containing more arrays. The tree view renders each key-value pair as an expandable node — click a brace or bracket to expand or collapse an entire subtree. The path from root to any selected node is shown as a dot-notation breadcrumb (e.g., response.data[0].user.address.city), which is directly usable in JavaScript or Python to access the same field programmatically.

Array vs object differentiation

JSON arrays (ordered, accessed by index) are rendered with bracket notation [0], [1], and the item count shown next to the opening bracket. JSON objects (key-value maps) are rendered with brace notation and the key count displayed. This visual distinction makes it immediately clear whether you are iterating over a list or accessing named fields — critical for writing correct parsing code without trial and error.

Type highlighting and validation

The viewer applies distinct colour coding to each JSON data type: strings (green), numbers (blue), booleans (orange), null (grey), objects (white), and arrays (white with bracket markers). Invalid JSON triggers an inline error with the line and column number of the first parse error, making it faster to fix malformed payloads than reading cryptic SyntaxError messages from the browser console.

Large JSON performance

Browsers struggle to render trees for JSON files above 1 MB because rendering tens of thousands of DOM nodes causes sluggishness. The viewer uses virtual rendering — only the visible nodes are in the DOM at any time. This allows comfortable exploration of 10 MB+ JSON files that would freeze other online tools. The search feature filters nodes by key name or value across the entire tree without expanding all nodes first.

Frequently asked questions

How do I expand and collapse nodes?
Click any object {…} or array […] node to toggle its children. The ▸ icon means collapsed; ▾ means expanded. Nodes at the top two levels are expanded by default.
How are data types shown?
Strings appear in green, numbers in blue, booleans in purple, and null in red. The type label appears on hover to the right of each value.
Is there a size limit for JSON input?
There is no hard limit, but very large JSON (millions of nodes) may slow down the browser. For huge payloads consider using a desktop tool like VS Code.
Can I edit the JSON in the tree view?
Not directly in the tree — edit the raw JSON in the text area above and the tree updates automatically.

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