JSON Viewer — Interactive Tree Explorer
Visualize JSON data with our interactive JSON viewer. Expand, collapse, search, and copy JSON paths in the tree explorer.
Input
Tree View
Paste JSON to see tree view
Navigating Complex JSON Structures
When you receive a deeply nested API response or a large configuration file, reading raw JSON is like trying to navigate a building without an elevator map. The tree view transforms flat JSON text into an interactive hierarchy where you can expand objects, collapse arrays, and click any key to copy its exact path.
This is especially useful when you need to reference a specific field in code. Instead of manually counting brackets to construct a path like response.data.users[0].address.city, you click the key and the path is copied to your clipboard.
Practical Workflow
Example: GitHub API user response
{
"login": "octocat",
"id": 1,
"avatar_url": "https://github.com/images/error/octocat_happy.gif",
"repos_url": "https://api.github.com/users/octocat/repos",
"name": "The Octocat",
"company": "GitHub",
"blog": "https://github.github.com",
"location": "San Francisco",
"email": null,
"bio": "There once was...",
"public_repos": 8,
"followers": 1234,
"following": 9,
"created_at": "2008-01-14T04:33:35Z"
} Tree renders as:
▶ login: "octocat"
▶ id: 1
▶ name: "The Octocat"
▶ email: null
▶ public_repos: 8
▶ followers: 1234 Click "email" → copies: $.email
Key Features
- One-click path copying — click any key to copy its JSONPath to your clipboard
- Search filter — type a key name to highlight matching nodes while dimming others
- Expand/Collapse controls — toggle individual nodes or use the global buttons
- Color-coded values — strings, numbers, booleans, and nulls are visually distinct
- Real-time rendering — the tree updates as you type with a 150ms debounce
Common Developer Workflows
- Extracting paths for code — copy the exact JSONPath for use in JavaScript, Python, or documentation
- Understanding API responses — explore unfamiliar REST or GraphQL response structures
- Debugging nested data — quickly locate a specific field buried several levels deep
- Documenting schemas — generate example paths for API documentation
Limitations
- Very large documents (thousands of nodes) may render slowly. Consider expanding only the section you need.
- Array elements are shown in order. If you need to detect reordering, use the JSON Comparator.
- The tree view does not modify or format the original JSON. For formatting, use the JSON Parser.
Frequently Asked Questions
What path format is used when copying?
Paths use JavaScript dot-notation with bracket notation for array indices. For example: $.users[0].address.city. The dollar sign represents the root. This format works in most programming languages and documentation tools.
How does the search work?
Search is case-insensitive and matches against property names. Matching nodes stay fully visible while non-matching nodes are dimmed. This lets you focus on the keys you care about while keeping their surrounding context visible.
Can I copy an entire subtree?
Currently you can only copy individual key paths. To copy a subtree, use the JSON Parser to format the JSON and copy the relevant section manually.
Why can't I expand some nodes?
Primitive values (strings, numbers, booleans, nulls) are leaf nodes with no children, so they cannot be expanded. Only objects and arrays show the expand/collapse arrow.
Is this accessible?
Yes. The tree uses ARIA tree roles with keyboard navigation. Arrow keys move between nodes, Enter or Space toggles expansion, and the search box is keyboard-accessible.
Next Steps
- Measure the depth and complexity of the structure with JSON Analytics
- Compare two versions of a document with JSON Comparator
- Generate a written description of the structure with JSON Explainer