JSON Tree Viewer
Visualize and explore JSON with interactive tree structure
JSON Input
Tree View
💡 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
- Paste JSON into the left textarea
- Tree appears automatically in the right panel
- Click arrows to expand/collapse nodes
- Hover over nodes to see data types
- 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
- Type in the search box at the top of the tree
- Matches are highlighted in yellow
- Parent nodes shown if children match
- 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:
- Click Copy button above input
- Entire JSON copied to clipboard
Copy Individual Node:
- Hover over any node in the tree
- Click copy icon that appears
- Node value copied as formatted JSON
Formatting JSON
- Paste unformatted/minified JSON
- Click Format button
- JSON auto-formatted with proper indentation
- 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
- Parse - JSON string converted to JavaScript object
- Traverse - Recursive tree traversal
- Build - Flat array of nodes with metadata
- Render - React components for each node
- 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:
- Check Quotes - Use double quotes
", not single' - Remove Trailing Commas - Last item shouldn't have comma
- Balance Brackets - Every
{needs},[needs] - Escape Special Characters - Use
\n,\t,\", etc. - 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 searchCtrl/Cmd + E- Expand allCtrl/Cmd + C- Copy JSONEscape- 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
- Use search to jump to specific fields
- Expand only the sections you need
- Copy individual nodes instead of finding in text
- Use format before pasting ugly JSON
Debugging APIs
- Paste API response
- Expand to see structure
- Search for error fields
- Copy relevant sections
- Share with team
Learning JSON Structure
- Paste example data
- Expand all to see full structure
- Observe color coding for types
- Note parent-child relationships
- Practice navigating complex data
Performance Tips
- Start with "Collapse All"
- Expand only what you need
- Use search instead of scrolling
- Format large JSON before pasting
- 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.