JSON Tree Viewer
Visualize JSON data as an interactive, collapsible tree. Explore nested objects and arrays with ease.
How to Use
- 1
Paste your JSON
Copy JSON from an API response, config file, or any source and paste it into the input field.
- 2
Click 'View Tree'
The tool parses your JSON and renders it as an interactive tree with color-coded value types.
- 3
Explore the tree
Click the arrow icons to expand or collapse objects and arrays. The first two levels are expanded by default.
- 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?
Is there a size limit?
What do the colors mean?
How is a tree viewer different from a JSON formatter?
Can I search within the JSON tree?
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