JSON Viewer Online — Tree View with Path Copy

How to Use the JSON Viewer

Paste your JSON into the input panel on the left side, or drag and drop a .json file directly onto the page. The viewer accepts any valid JSON string.
Explore the tree — the output panel renders your JSON as a collapsible, color-coded tree. Click the arrow next to any object or array to expand or collapse it.
Copy a JSONPath by clicking any key or value in the tree. The path (e.g., $.users[0].name) is copied to your clipboard, ready to use in code or queries.
Search for values using the search box above the output panel. Type a key name or value to filter the tree and highlight matches.
Switch views — toggle between Tree view for interactive exploration and Raw view for a formatted text representation.

What is a JSON Viewer?

A JSON viewer is a tool that parses raw JSON text and renders it as an interactive, navigable tree structure. Unlike a plain text JSON formatter that simply adds indentation, a viewer provides collapsible nodes, color-coded data types, clickable paths, and search functionality. This makes it invaluable when you need to explore complex API responses, debug deeply nested data structures, or quickly locate a specific value in a large JSON document.

The tree view is especially useful for JSON that contains multiple levels of nesting — objects within arrays within objects — where a flat text representation becomes hard to follow. Each node shows its data type through color coding, and you can collapse sections you are not interested in to focus on the data that matters.

Examples

1. Exploring an API response tree

Paste a response from a REST API to see the full structure at a glance:

{
  "status": 200,
  "data": {
    "users": [
      { "id": 1, "name": "Alice", "roles": ["admin", "editor"] },
      { "id": 2, "name": "Bob", "roles": ["viewer"] }
    ],
    "pagination": { "page": 1, "total": 42 }
  }
}

The tree view lets you collapse the users array to focus on pagination, or expand individual user objects to inspect their roles.

2. Finding a deeply nested value

When working with complex configuration or GraphQL responses, use the search box to type a key name like timeout or a value like 3000. The viewer highlights every matching node and auto-expands parent nodes so you can see the full path without manually drilling down through dozens of levels.

3. Copying a JSONPath for code

Click on any value in the tree to copy its JSONPath. For example, clicking on “Alice” in the example above copies $.data.users[0].name. You can paste this directly into JavaScript accessors, jq queries, or JSON-to-CSV field mappings.

Common Use Cases

Debugging API responses: Paste raw responses from cURL, Postman, or fetch to navigate the structure interactively instead of scrolling through text.
Exploring unfamiliar data: When onboarding to a new API or dataset, the tree view reveals the schema without needing documentation.
Extracting JSONPaths: Click any node to copy its path for use in code, test assertions, or data transformation scripts.
Searching large payloads: Use the built-in search to find specific keys or values in JSON files with thousands of lines.
Verifying data transformations: Paste the output of a JSON-to-YAML round-trip or CSV conversion to confirm the structure is correct.
Reviewing webhook payloads: Inspect incoming webhook data from services like Stripe, GitHub, or Twilio to understand the event structure.

Frequently Asked Questions

What is JSONPath?

JSONPath is a query language for JSON, similar to XPath for XML. It uses dot notation (e.g., $.users[0].name) to reference specific values in a JSON document. When you click a node in this viewer, the tool copies its JSONPath to your clipboard so you can use it directly in JavaScript, Python, or tools like jq.

Can the JSON viewer handle large files?

Yes. The viewer parses JSON using the browser’s native JSON.parse, which efficiently handles files up to 50 MB on most devices. The tree rendering uses lazy expansion — only visible nodes are rendered — so even deeply nested structures with thousands of keys remain responsive.

What do the colors in the tree view mean?

The tree uses syntax highlighting to distinguish data types: strings appear in green, numbers in blue, booleans in purple, and null values in gray. Keys display in the default text color. This color coding helps you spot data types at a glance without reading each value.

How do I search within the JSON tree?

Use the search box above the output panel when in Tree view. Type any key name or value to filter the tree. Matching nodes are highlighted, and their parent nodes are automatically expanded so you can see the full path to each match.

What is the difference between a JSON viewer and a JSON formatter?

A JSON formatter reformats text with consistent indentation and outputs a plain text string. A JSON viewer parses the data and renders it as an interactive tree with collapsible nodes, clickable paths, and search. Use the formatter when you need clean text output; use the viewer when you need to explore and navigate the structure.

Can I edit JSON in the viewer?

The input panel is fully editable — you can modify your JSON and the tree updates when you re-parse. For dedicated formatting and minification, use the JSON Formatter tool.

Privacy & How It Works

The JSON Viewer runs entirely in your browser. Your JSON is parsed using the native JSON.parse() function and rendered into an interactive tree using React components — no data is sent to any server. The tree nodes are built on-the-fly as you expand them, keeping memory usage low even for large documents. Search filtering happens client-side with simple string matching against keys and values. You can verify this by checking your browser’s Network tab: zero requests are made when you paste, explore, or search your JSON. This makes the tool safe for proprietary data, credentials, and any sensitive payloads.

JSON Viewer