JSON Tree Viewer

JSON Tree Viewer - Interactive JSON Data Explorer & Visualizer

A powerful online JSON tree viewer that helps you visualize, explore, and understand complex JSON data structures. Features an interactive collapsible tree interface, syntax highlighting, real-time search, path copying, fullscreen mode, and customizable view options. Perfect for developers, API testers, data analysts, and anyone working with nested JSON data.

What is a JSON Tree Viewer?

A JSON Tree Viewer is a visual tool that displays JSON data in an interactive, hierarchical tree structure. Instead of looking at raw JSON text, you see:

- Collapsible nodes for objects and arrays
- Visual hierarchy with indentation
- Color-coded data types (strings, numbers, booleans, etc.)
- Expandable/collapsible sections
- Easy navigation through nested structures

This makes it much easier to understand and explore complex JSON data, especially when dealing with deeply nested objects, large arrays, or API responses with multiple levels of data.

How do I use the JSON Tree Viewer?

Using the JSON Tree Viewer is simple:

1. Paste your JSON data into the input field
2. Click 'Format JSON' to parse and visualize the data
3. The tree view appears on the right side
4. Click on nodes to expand/collapse them
5. Use 'Expand All' or 'Collapse All' for bulk operations
6. Search for specific keys or values using the search box
7. Hover over values to see options (copy path, copy value)
8. Toggle fullscreen for better viewing of large JSON structures

You can also load a sample JSON to see how it works, or customize the view with various options like showing data types and array indices.

What are the main features?

The JSON Tree Viewer includes many powerful features:

Visualization:
- Interactive collapsible tree structure
- Syntax highlighting with color-coded types
- Clear visual hierarchy
- Fullscreen mode for large datasets

Navigation:
- Expand/collapse individual nodes
- Expand all / collapse all options
- Expand to specific level (1, 2, 3, or all)
- Search functionality to find keys/values

Data Interaction:
- Copy JSON path to any node
- Copy individual values
- Show data types (string, number, boolean, etc.)
- Show array indices for easy reference

Usability:
- Dark mode support
- Responsive design
- Load sample data
- Format invalid/minified JSON
- Real-time search highlighting

What does 'Copy Path' do?

The 'Copy Path' feature copies the JSON path (also called JSONPath or dot notation) to reach a specific value. For example, if you have:

{
"user": {
"address": {
"city": "New York"
}
}
}

Clicking 'Copy Path' on "New York" would copy: user.address.city

This is useful for:
- Accessing data in code (obj.user.address.city)
- Writing API queries or GraphQL paths
- Documenting data structure
- Sharing specific data locations
- Debugging nested objects

For arrays, the path includes indices: data.users[0].name

How does the search feature work?

The search feature helps you quickly find data in large JSON structures:

What it searches:
- Object keys (property names)
- String values
- Number values
- Boolean values
- Null values

How it works:
1. Type in the search box
2. Results are highlighted in yellow
3. Non-matching nodes are dimmed
4. Parent nodes of matches stay visible
5. Clear search to see all data again

Features:
- Case-insensitive search
- Partial matching (searching "name" finds "username")
- Real-time results as you type
- Automatic expansion of matching nodes
- Match counter showing number of results

Great for finding specific values in large API responses or configuration files.

What does 'Expand Level' mean?

The 'Expand Level' feature controls how many levels of the tree are initially visible:

Level 1: Shows only the root level
- Good for getting an overview of top-level structure
- Example: See all main object keys

Level 2: Expands to second level
- Shows root and its immediate children
- Good for moderate complexity JSON

Level 3: Expands to third level
- Shows three levels deep
- Good for detailed exploration

All Levels: Fully expands everything
- Shows entire tree structure
- Good for small JSON or when you need full visibility

For deeply nested JSON (10+ levels), starting with Level 1 or 2 can make navigation easier. You can always expand specific nodes manually as needed.

What do the different colors mean?

The tree viewer uses color coding to show different data types:

Strings: Green
- Example: "hello", "[email protected]"
- Shown in quotes

Numbers: Blue
- Example: 42, 3.14, -17
- No quotes

Booleans: Purple/Magenta
- Example: true, false
- Keywords in bold

Null: Red/Orange
- Example: null
- Special value indicator

Keys/Properties: Dark gray/white (depending on theme)
- Example: "name": in {"name": "John"}
- Always shown in quotes with colon

Objects: Indicated by { } braces
Arrays: Indicated by [ ] brackets

This color coding helps you quickly identify data types without reading carefully, especially useful in large JSON structures.

Can I view API responses?

Yes! This tool is perfect for viewing API responses. Here's how:

1. Make your API call (using browser, Postman, curl, etc.)
2. Copy the JSON response
3. Paste it into the JSON Tree Viewer
4. Explore the response structure interactively

Benefits for API work:
- Understand complex nested responses
- Find specific data fields quickly with search
- Copy paths for use in your code
- Verify response structure matches documentation
- Debug unexpected data
- Share structured views with team members

Common use cases:
- REST API responses
- GraphQL query results
- Webhook payloads
- OAuth token responses
- Database query results
- Third-party service data

The viewer handles any valid JSON, regardless of size or complexity.

What's the difference between this and a JSON formatter?

JSON Tree Viewer and JSON Formatter serve different purposes:

JSON Tree Viewer (this tool):
- Visual tree representation
- Interactive exploration (expand/collapse)
- Navigate nested structures easily
- Search within data
- Copy paths and values
- Best for: Understanding structure, exploring data, finding values

JSON Formatter:
- Text-based formatting
- Adds indentation and line breaks
- Makes raw JSON readable
- Shows JSON as code
- Best for: Editing JSON, copying formatted text, validating syntax

Use the Tree Viewer when you want to explore and understand JSON.
Use a Formatter when you need to edit or work with JSON as text.

Many developers use both: format first to ensure valid JSON, then view in tree for exploration.

Is my data secure?

Yes, your data is completely secure and private:

- All processing happens in your browser (client-side)
- No data is sent to any server
- No data is stored or logged
- Works completely offline after page load
- No cookies or tracking for your JSON data
- No external API calls with your data

You can verify this by:
- Disconnecting from internet after page loads (tool still works)
- Checking browser network tab (no requests with your data)
- Viewing the source code (open-source and transparent)

Safe to use with:
- Sensitive API responses
- Private configuration files
- Customer data (PII)
- Internal system responses

Note: Still follow your organization's data handling policies. Don't paste data containing passwords, API keys, or highly sensitive credentials into any online tool without proper authorization.

Key Features

• Interactive collapsible tree structure for easy navigation
• Syntax highlighting with color-coded data types
• Expand all / collapse all for bulk operations
• Expand to specific levels (1, 2, 3, or all)
• Real-time search to find keys and values
• Copy JSON path to any node (dot notation)
• Copy individual values to clipboard
• Show/hide data types for clearer view
• Show/hide array indices
• Fullscreen mode for large JSON structures
• Dark mode support with theme toggle
• Format minified or unformatted JSON
• Load sample JSON for testing
• Handles deeply nested objects and arrays
• Visual indicators for objects, arrays, and primitives
• Responsive design for mobile and desktop
• 100% client-side - your data never leaves your browser
• Works offline after initial load
• No file size limits
• Fast rendering even for large JSON files