JSON Tree Viewer

Visualize JSON data as an interactive, collapsible tree. Explore nested objects and arrays with ease.

Your data never leaves your browser

How to Use

  1. 1

    Paste your JSON

    Copy JSON from an API response, config file, or any source and paste it into the input field.

  2. 2

    Click 'View Tree'

    The tool parses your JSON and renders it as an interactive tree with color-coded value types.

  3. 3

    Explore the tree

    Click the arrow icons to expand or collapse objects and arrays. The first two levels are expanded by default.

  4. 4

    Check the stats

    Review the metadata line showing type, key count, depth, and size of your JSON document.

What is JSON Tree Viewer?

A JSON tree viewer takes raw JSON text and renders it as a collapsible, hierarchical tree structure — turning a wall of braces and brackets into a visual map you can actually navigate. Instead of scrolling through thousands of lines of indented text, you expand and collapse nodes to drill into exactly the part of the data you need. This is the fastest way to visualize JSON and understand unfamiliar data structures at a glance.

JSON (JavaScript Object Notation) is the most widely used data interchange format for web APIs, cloud-service responses, and application configuration. When an API returns a deeply nested payload — user profiles with embedded addresses, order objects with line-item arrays, or Kubernetes status responses with dozens of nested conditions — a json tree view lets you explore the hierarchy interactively instead of mentally parsing raw text.

This json viewer online renders every node with color-coded types: strings, numbers, booleans, and nulls each get a distinct color, while objects and arrays display their child count so you can quickly gauge size and depth. The tool also reports document-level metadata — root type, total key count, maximum nesting depth, and character size — giving you an instant overview before you start exploring.

For complementary workflows, validate your data first with the JSON Validator to catch syntax issues, then switch to this json explorer for structural inspection. If you need a plain-text formatted version, the JSON Formatter produces indented output you can copy into code or docs. You can also convert the data to YAML with the JSON to YAML Converter when a config file is your end goal.

FAQ

What JSON formats are supported?
Any valid JSON is supported — objects, arrays, nested structures, strings, numbers, booleans, and null values. The input must be valid JSON; JSONC (with comments) or JSON5 are not supported.
Is there a size limit?
There is no hard limit, but very large JSON documents (over 10MB) may cause your browser to slow down. For best performance, keep input under 5MB.
What do the colors mean?
Purple text indicates keys/property names. Red is for strings, green for numbers, orange for booleans, and gray for null values. Arrays show their length in brackets [N] and objects show their key count in braces {N}.
How is a tree viewer different from a JSON formatter?
A formatter adds indentation and line breaks to raw JSON text — the output is still plain text. A tree viewer renders an interactive, collapsible hierarchy with color-coded value types and node counts, making it far better for exploring large or deeply nested data where you want to expand only the branches you care about.
Can I search within the JSON tree?
The tree view is designed for visual navigation — expand and collapse nodes to explore the structure. For text-based search, use Ctrl+F after formatting your JSON with our JSON Formatter, or use jq on the command line for programmatic filtering.

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