JSON Tree Viewer

Visualize and explore JSON with interactive tree structure

JSON Input

Tree View

root:Object(7)object
"name":"John Doe"string
"age":30number
"email":"john@example.com"string
"address":Object(3)object
"hobbies":Array(3)array
"isActive":trueboolean
"balance":nullnull

💡 How to Use

  • ✓ Click ▶/▼ arrows to expand/collapse nodes
  • ✓ Use search to find specific keys or values
  • ✓ Hover over nodes to see data types
  • ✓ Click copy icon to copy node value
  • Green = Strings
  • Orange = Numbers
  • Purple = Booleans
  • Blue = Keys

JSON Tree Viewer

Visualize and explore complex JSON data with an interactive, expandable tree structure.

Overview

JSON Tree Viewer transforms flat JSON text into a beautiful, interactive tree visualization. Navigate through nested objects and arrays, search for specific keys or values, and understand your data structure at a glance. Perfect for debugging APIs, exploring configuration files, and analyzing complex JSON data.

Features

🌲 Interactive Tree Structure

  • Visual hierarchy of JSON data
  • Expandable/collapsible nodes
  • Color-coded by data type
  • Hover to see metadata
  • Intuitive navigation

🔍 Powerful Search

  • Search by key names
  • Search by values
  • Real-time filtering
  • Highlight matches
  • Show parent context

🎨 Color-Coded Types

  • Green - String values
  • Orange - Numbers
  • Purple - Booleans
  • Blue - Object keys
  • Gray - Null values

⚡ Performance

  • Handles large JSON files
  • Instant visualization
  • Smooth expand/collapse
  • Real-time validation
  • No lag or freezing

📋 Quick Actions

  • Copy entire JSON
  • Copy individual nodes
  • Format JSON automatically
  • Expand all nodes
  • Collapse all nodes

✅ Validation

  • Real-time syntax checking
  • Detailed error messages
  • Automatic format fixing
  • Visual error indicators
  • Helpful suggestions

How to Use

Basic Usage

  1. Paste JSON into the left textarea
  2. Tree appears automatically in the right panel
  3. Click arrows to expand/collapse nodes
  4. Hover over nodes to see data types
  5. Use search to find specific content

Example:

{
  "user": {
    "name": "John Doe",
    "age": 30,
    "active": true
  }
}

Expanding & Collapsing

Individual Nodes:

  • Click (right arrow) to expand
  • Click (down arrow) to collapse
  • Reveals nested content

All Nodes:

  • Click Expand All to open entire tree
  • Click Collapse All to close everything
  • Useful for large JSON files

Searching

  1. Type in the search box at the top of the tree
  2. Matches are highlighted in yellow
  3. Parent nodes shown if children match
  4. Case-insensitive search

Search by Key:

Search: "name" → Finds all "name" keys

Search by Value:

Search: "John" → Finds all values containing "John"

Clear Search:

  • Delete text in search box
  • Full tree reappears

Copying Values

Copy Entire JSON:

  1. Click Copy button above input
  2. Entire JSON copied to clipboard

Copy Individual Node:

  1. Hover over any node in the tree
  2. Click copy icon that appears
  3. Node value copied as formatted JSON

Formatting JSON

  1. Paste unformatted/minified JSON
  2. Click Format button
  3. JSON auto-formatted with proper indentation
  4. Tree updates automatically

Use Cases

1. API Response Analysis

// API returns complex nested data
{
  "data": {
    "users": [
      {
        "id": 1,
        "profile": {
          "name": "John",
          "settings": {
            "theme": "dark",
            "notifications": true
          }
        }
      }
    ]
  },
  "meta": {
    "page": 1,
    "total": 100
  }
}

// Tree view makes structure clear:
▼ root
  ▼ data
    ▼ users
      ▼ [0]
        id: 1
        ▼ profile
          name: "John"
          ▼ settings
            theme: "dark"
            notifications: true
  ▼ meta
    page: 1
    total: 100

// Benefit: Instantly understand deep nesting

2. Configuration File Exploration

// Complex app configuration
{
  "database": {
    "host": "localhost",
    "port": 5432,
    "credentials": {
      "user": "admin",
      "password": "******"
    }
  },
  "cache": {
    "redis": {
      "host": "cache.example.com",
      "ttl": 3600
    }
  },
  "features": {
    "auth": true,
    "payments": false
  }
}

// Use tree to:
// - Navigate sections quickly
// - Find specific settings
// - Verify structure
// - Copy values easily

3. Debugging Nested Data

// Bug: Can't find where error data is nested
{
  "response": {
    "status": "error",
    "details": {
      "code": 400,
      "errors": [
        {
          "field": "email",
          "message": "Invalid format"
        }
      ]
    }
  }
}

// Search "email" in tree view:
// → Instantly jumps to errors[0].field
// → Shows full path: root.response.details.errors[0].field
// → Can copy error object directly

4. Large JSON File Navigation

// 500 line JSON file with many sections
{
  "section1": { /* 50 lines */ },
  "section2": { /* 100 lines */ },
  "section3": { /* 150 lines */ },
  "section4": { /* 200 lines */ }
}

// Tree view benefits:
// - Collapse all sections initially
// - Expand only what you need
// - Search finds content instantly
// - No scrolling through hundreds of lines

5. Data Structure Documentation

// Showing team how API response is structured
{
  "user": {
    "id": "string",
    "name": "string",
    "email": "string",
    "roles": ["array", "of", "strings"],
    "metadata": {
      "created": "ISO date string",
      "updated": "ISO date string"
    }
  }
}

// Share screenshot of tree view
// Shows hierarchy clearly
// Color coding shows data types
// Easy to understand at a glance

6. Comparing JSON Structures

// API version 1 vs version 2
// Paste each version, expand both
// Visually compare structure differences
// Find added/removed/changed fields
// Understand migration impact

Tree Structure Explained

Node Display Format

Each node shows:

[▶/▼] "key": value [type]

Components:

  • ▶/▼ - Expand/collapse indicator (only for objects/arrays)
  • "key" - Property name in blue
  • : - Separator
  • value - Actual value (color-coded by type)
  • [type] - Data type (appears on hover)

Node Types

Type Display Color Example
String "value" Green "John Doe"
Number 123 Orange 30, 3.14
Boolean true/false Purple true
Null null Gray null
Object Object(n) Gray Object(3)
Array Array(n) Gray Array(5)

Note: (n) indicates the number of properties or items

Path Structure

Each node has a path showing its location:

root → Main JSON object
root.user → "user" property
root.user.name → "name" inside "user"
root.items[0] → First item in "items" array
root.items[0].id → "id" of first item

Advanced Features

Search Behavior

Inclusive Parent Showing:

  • If child matches, parent is shown
  • Helps maintain context
  • Click parent to see full subtree

Match Highlighting:

  • Yellow background on matching nodes
  • Makes results easy to spot
  • Updates as you type

Multi-word Search:

  • Searches for complete phrase
  • Not split into separate words
  • Use specific terms for best results

Copy Node Feature

What Gets Copied:

  • For primitives: The exact value
  • For objects: Formatted JSON of entire object
  • For arrays: Formatted JSON of entire array

Example:

// Node: user object
{
  "name": "John",
  "age": 30
}

// Click copy on "user" node
// Clipboard contains:
{
  "name": "John",
  "age": 30
}

Format Feature

What It Does:

  • Validates JSON syntax
  • Adds proper indentation (2 spaces)
  • Fixes common formatting issues
  • Updates tree view

Before:

{"name":"John","age":30,"email":"john@example.com"}

After:

{
  "name": "John",
  "age": 30,
  "email": "john@example.com"
}

Technical Details

Data Processing

  1. Parse - JSON string converted to JavaScript object
  2. Traverse - Recursive tree traversal
  3. Build - Flat array of nodes with metadata
  4. Render - React components for each node
  5. Update - Real-time as you type

Performance Optimization

JSON Size Nodes Performance
< 1 KB < 100 Instant
1-10 KB 100-1K < 100ms
10-100 KB 1K-10K < 500ms
100KB-1MB 10K-100K 1-3s
> 1 MB > 100K May lag

Tips for Large Files:

  • Keep nodes collapsed initially
  • Use search to navigate
  • Format before pasting
  • Consider splitting very large files

Supported JSON Features

Fully Supported:

  • Objects {}
  • Arrays []
  • Strings "text"
  • Numbers 123, 3.14
  • Booleans true, false
  • Null values null
  • Nested structures (unlimited depth)
  • Unicode characters
  • Escaped characters \n, \t, etc.
  • Large numbers
  • Empty objects/arrays

Not Supported:

  • Comments (not valid JSON)
  • Trailing commas
  • Single quotes (use double quotes)
  • Undefined values
  • Functions
  • Regular expressions

Troubleshooting

"Invalid JSON" Error

Problem: Error message appears, tree not shown

Solutions:

  1. Check Quotes - Use double quotes ", not single '
  2. Remove Trailing Commas - Last item shouldn't have comma
  3. Balance Brackets - Every { needs }, [ needs ]
  4. Escape Special Characters - Use \n, \t, \", etc.
  5. Use Format Button - Attempts auto-fix

Common Issues:

// ❌ Wrong
{
  'name': 'John',  // Single quotes
  'age': 30,       // Trailing comma
}

// ✅ Correct
{
  "name": "John",
  "age": 30
}

Tree Not Showing

Problem: Valid JSON but no tree appears

Solutions:

  • Refresh the page
  • Clear and re-paste JSON
  • Check browser console for errors
  • Try smaller JSON first

Search Not Finding Results

Problem: Know content exists but search returns nothing

Solutions:

  • Check spelling
  • Search is case-insensitive but exact match
  • Try partial search terms
  • Remove extra spaces
  • Expand all to see if result is hidden

Copy Not Working

Problem: Copy button doesn't work

Solutions:

  • Check browser permissions for clipboard access
  • Try different browser
  • Manually select and copy text
  • Use Ctrl+C / Cmd+C instead

Slow Performance

Problem: Tree lags or freezes with large JSON

Solutions:

  • Use Collapse All to improve performance
  • Navigate with search instead of expanding everything
  • Format before pasting to reduce parsing time
  • Split large JSON into smaller chunks
  • Use desktop browser instead of mobile

Keyboard Shortcuts

Currently not implemented, but consider:

  • Ctrl/Cmd + F - Focus search
  • Ctrl/Cmd + E - Expand all
  • Ctrl/Cmd + C - Copy JSON
  • Escape - Clear search

Color Scheme

Light Mode

  • Strings: #16a34a (Green 600)
  • Numbers: #ea580c (Orange 600)
  • Booleans: #9333ea (Purple 600)
  • Keys: #2563eb (Blue 600)
  • Background: White with light borders

Dark Mode

  • Strings: #4ade80 (Green 400)
  • Numbers: #fb923c (Orange 400)
  • Booleans: #c084fc (Purple 400)
  • Keys: #60a5fa (Blue 400)
  • Background: Dark gray with muted borders

Privacy & Security

✅ Completely Private

  • All processing in your browser
  • No server uploads
  • No network requests
  • No data logging
  • Works offline

✅ Safe for Sensitive Data

  • View API keys safely
  • Explore credentials securely
  • Debug production data
  • No external access

✅ No Storage

  • No localStorage
  • No cookies
  • No session storage
  • Data cleared on page close
  • Completely ephemeral

Comparison with Alternatives

Feature Tree Viewer Text Editor JSON Formatter
Visual Structure ✅ Tree hierarchy ❌ Flat text ❌ Flat text
Navigate Deep Nesting ✅ Click to expand ❌ Scroll/search ❌ Scroll/search
Search ✅ + hierarchy ✅ Text only ✅ Text only
Copy Parts ✅ Any node ⚠️ Manual select ⚠️ Manual select
Large Files ⚠️ Use collapsed ✅ Better ✅ Better
Edit JSON ❌ View only ✅ Full edit ✅ Full edit
Understand Structure ✅ Visual ❌ Mental parse ⚠️ Some

When to Use Tree Viewer:

  • Exploring unfamiliar JSON
  • Deep nesting (3+ levels)
  • Finding specific values
  • Understanding structure
  • Presenting to others

When to Use Alternatives:

  • Editing JSON
  • Very large files (> 1MB)
  • Need to modify structure
  • Comparing differences

Real-World Examples

Example 1: GitHub API Response

{
  "name": "awesome-repo",
  "owner": {
    "login": "username",
    "id": 12345,
    "avatar_url": "https://...",
    "type": "User"
  },
  "description": "An awesome repository",
  "fork": false,
  "created_at": "2020-01-01T00:00:00Z",
  "updated_at": "2025-11-26T10:00:00Z",
  "stargazers_count": 1000,
  "watchers_count": 50,
  "language": "TypeScript",
  "forks_count": 100,
  "open_issues_count": 5,
  "license": {
    "key": "mit",
    "name": "MIT License",
    "url": "https://..."
  }
}

// Tree view shows:
▼ root
  name: "awesome-repo"
  ▼ owner
    login: "username"
    id: 12345
    avatar_url: "https://..."
    type: "User"
  description: "An awesome repository"
  fork: false
  created_at: "2020-01-01T00:00:00Z"
  updated_at: "2025-11-26T10:00:00Z"
  stargazers_count: 1000
  watchers_count: 50
  language: "TypeScript"
  forks_count: 100
  open_issues_count: 5
  ▼ license
    key: "mit"
    name: "MIT License"
    url: "https://..."

// Easy to find any field!

Example 2: E-commerce Order

{
  "orderId": "ORD-12345",
  "customer": {
    "name": "Jane Smith",
    "email": "jane@example.com",
    "address": {
      "street": "456 Oak Ave",
      "city": "Boston",
      "state": "MA",
      "zip": "02101"
    }
  },
  "items": [
    {
      "productId": "PROD-001",
      "name": "Widget",
      "quantity": 2,
      "price": 29.99
    },
    {
      "productId": "PROD-002",
      "name": "Gadget",
      "quantity": 1,
      "price": 49.99
    }
  ],
  "totals": {
    "subtotal": 109.97,
    "tax": 8.80,
    "shipping": 5.00,
    "total": 123.77
  },
  "status": "shipped"
}

// Search "price" → Shows both product prices
// Search "Jane" → Shows customer.name
// Expand items[0] → See first product details
// Copy customer → Get full customer object

Example 3: AWS Config

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Sid": "AllowS3Access",
      "Effect": "Allow",
      "Action": [
        "s3:GetObject",
        "s3:PutObject",
        "s3:DeleteObject"
      ],
      "Resource": "arn:aws:s3:::my-bucket/*"
    },
    {
      "Sid": "AllowDynamoDBAccess",
      "Effect": "Allow",
      "Action": [
        "dynamodb:GetItem",
        "dynamodb:PutItem",
        "dynamodb:Query"
      ],
      "Resource": "arn:aws:dynamodb:*:*:table/MyTable"
    }
  ]
}

// Navigate policy structure
// Find specific permissions
// Copy individual statements
// Verify resource ARNs

Frequently Asked Questions

Can I edit JSON in the tree view?

No, tree view is read-only. Edit in the left textarea, tree updates automatically.

What's the maximum JSON size?

Technically unlimited, but performance degrades above 1MB. Use collapsed view for large files.

Does it work offline?

Yes! Completely client-side, no internet required after loading the page.

Can I save my work?

Use the Copy button to save JSON to clipboard, then paste into a file.

Why can't I see some nodes?

They may be collapsed. Use "Expand All" or search to find them.

How do I reset the view?

Click "Collapse All" to close everything, or refresh the page to clear input.

Can I share a tree view?

Share the JSON text. Others can paste it to see the same tree.

Does it support JSON5 or JSONC?

No, only standard JSON (RFC 8259). Remove comments and trailing commas first.

Why are some values showing "undefined"?

undefined is not valid JSON. Use null instead.

Can I print the tree view?

Use browser print (Ctrl/Cmd+P), but formatted JSON text may print better.

Browser Compatibility

Works in all modern browsers:

  • ✅ Chrome / Edge (Chromium) 90+
  • ✅ Firefox 88+
  • ✅ Safari 14+
  • ✅ Opera 76+
  • ⚠️ Mobile browsers (may lag on large JSON)

Related Tools

  • JSON Formatter - Format, minify, and sort JSON
  • JSON Minifier - Remove whitespace for production
  • Text Diff Checker - Compare two JSON files
  • YAML ⇄ JSON - Convert between formats

Tips & Tricks

Quick Navigation

  1. Use search to jump to specific fields
  2. Expand only the sections you need
  3. Copy individual nodes instead of finding in text
  4. Use format before pasting ugly JSON

Debugging APIs

  1. Paste API response
  2. Expand to see structure
  3. Search for error fields
  4. Copy relevant sections
  5. Share with team

Learning JSON Structure

  1. Paste example data
  2. Expand all to see full structure
  3. Observe color coding for types
  4. Note parent-child relationships
  5. Practice navigating complex data

Performance Tips

  1. Start with "Collapse All"
  2. Expand only what you need
  3. Use search instead of scrolling
  4. Format large JSON before pasting
  5. Close other browser tabs

Standards

Follows JSON specification:

  • RFC 8259: The JSON Data Interchange Format
  • ECMA-404: The JSON Data Interchange Syntax

Credits

Built with React and TypeScript for optimal performance and type safety. Tree traversal algorithm optimized for deep nesting and large files.