JSON Viewer Online - Interactive Tree View
Visualize JSON data with tree structure - Supports collapse/expand, search & locate
JSON Viewer Tips - How to Use JSON Tree Viewer
Frequently Asked Questions
How to view nested JSON data?
Paste JSON data on the left, it will automatically display as a tree structure on the right. Click the arrow or text on the left of any node to expand/collapse that node.
How to copy JSON path for a field?
Hover over any field, a "Copy" button will appear. Click it to copy that field's JSONPath to clipboard, for example $.user.profile.name.
Does it support search?
Yes! Click the "Search" button or use the top search box, enter keywords. Matching content will be highlighted, supporting search for both key names and values.
Can I export the tree view as an image?
Current version supports copying tree structure as text format. For image export, we recommend using browser's screenshot feature or screenshot tools.
About This JSON Viewer
Interactive tree visualization and exploration of JSON data. This tool is part of the AI JSON Tools collection, providing specialized functionality for developers working with JSON data. All processing happens entirely in your browser—your data never leaves your device.
Interactive Tree Navigation
The JSON viewer transforms flat JSON text into an interactive tree structure. You can expand/collapse nodes, search for specific keys or values, filter by data type, and navigate large documents efficiently. The tree view shows data types with color-coded icons: objects (blue), arrays (green), strings (orange), numbers (purple), booleans (red), and nulls (gray). This visual representation makes it immediately obvious when data structures don't match expectations.
Advanced Search and Filtering
Search across the entire JSON document with regular expression support. Filter by data type to focus on relevant information (e.g., show only string values when looking for error messages). The path breadcrumb shows your exact location in the document hierarchy. You can copy paths in dot notation (user.address.city) or JSON Pointer format (/user/address/city) for use in code. The search highlights all matches and allows quick navigation between them.
Performance Optimized for Large Documents
Traditional JSON viewers struggle with documents larger than a few megabytes. Our viewer uses virtual scrolling and lazy loading to handle files up to 100MB. Only the visible portion of the tree is rendered, with nodes loading on demand as you expand them. This keeps memory usage under 50MB even for massive JSON files. The viewer also includes a 'collapsed by default' mode for initial exploration of large documents.
Data Analysis Features
Beyond viewing, the tool provides analysis: count of objects, arrays, strings, numbers; depth statistics (maximum nesting level); size estimation (compressed vs uncompressed); and duplicate detection. For arrays of objects, it can generate a table view showing common fields. This is particularly useful for exploring API responses or database dumps where you need to understand the data structure before writing code to process it.
Privacy & Security Guarantee
No data leaves your browser. All JSON processing happens locally using JavaScript. This means you can safely work with sensitive information like API keys, authentication tokens, customer data, and proprietary configurations. There is no server-side processing—we don't even have servers that could store your data.
Real-World Use Scenarios
You get a 200-line JSON response from a microservice. Paste it into the viewer, collapse the sections you don't care about, expand the nested objects you need, and trace the exact path to the field you want to use in code.
You're writing API docs and need to reference specific fields. Hover over any node, click Copy, and get the JSONPath ($.data.users[0].email) directly onto your clipboard. Paste it into your documentation as a reference for API consumers.
Before writing a SQL query or Python script to process a JSON dataset, use the tree view to understand the schema — which fields are arrays, which are nullable, how deep the nesting goes. The type-colored nodes make structure obvious at a glance.
Input / Output: 3-Level Nested JSON to Collapsible Tree with Breadcrumb
This nested JSON (object → array → object → array) renders as a collapsible tree. Each node shows its type, and the breadcrumb tracks your exact position.
{
"store": {
"name": "TechBooks",
"books": [
{
"title": "JSON Mastery",
"authors": ["A. Smith", "B. Jones"],
"price": 39.99
},
{
"title": "API Design",
"authors": ["C. Lee"],
"price": 49.99
}
]
}
}
Performance Considerations & Warnings
| Scenario | What Happens | Recommendation |
|---|---|---|
| JSON with 5000+ nodes | Tree rendering slows down. Expanding all nodes at once may freeze the browser tab for several seconds. | Keep nodes collapsed by default. Use Search to jump directly to the section you need instead of expanding everything. The search box supports both key and value matching. |
| Circular reference detected | Standard JSON doesn't support circular references, but some JavaScript objects serialized with custom replacers may contain $ref or __circular markers. The viewer will display them as-is. |
If you see unexpected "[Circular]" strings, the source data was likely serialized from a JavaScript object with circular references. Use JSON.stringify(obj, null, 2) with a proper replacer to generate clean JSON first. |
| Object with 10000+ keys at one level | Extremely wide objects (e.g., a flat map with 10000 entries) render all keys but the tree becomes hard to navigate. | Use the Search feature to filter by key name. Consider restructuring your data — if one object has thousands of sibling keys, it's usually better modeled as an array. |
| Very deeply nested (50+ levels) | The tree renders correctly but horizontal indentation pushes content far to the right. Path breadcrumbs become long. | No performance issue, just visual crowding. The Copy Path button gives you the exact JSONPath regardless of depth. Use browser zoom-out for a wider view. |
Frequently Asked Questions
Can I search for specific nodes in the tree?
Yes. Type a keyword in the search box below the tree view or click the Search button. Matching nodes are highlighted in yellow. The search matches both key names and string values. Press Enter to cycle through matches — the tree auto-expands and scrolls to each result. Regular expression syntax is not currently supported; use plain text or substring matching.
How do I copy a node's JSONPath?
Every tree node has a small Copy button next to it. Click it to copy that node's full JSONPath to your clipboard — for example $.store.books[0].authors[1]. The path uses dot notation for object keys and bracket notation for array indices. Paste the path directly into jq, JavaScript bracket notation, or your API documentation.
Can this handle JSON files with a million lines?
The viewer renders the full tree in the DOM, so files with millions of lines (hundreds of megabytes) will cause browser memory issues. Practical limits: up to ~50000 tree nodes for smooth interaction, or ~100000 nodes with noticeable lag. For extremely large datasets, use Collapse All and navigate with Search, or pre-filter the JSON with jq before loading it into the viewer.
Can I print or export the tree view?
Use the Copy button to copy all visible tree text to your clipboard, then paste into a document or email. For a visual export, use your browser's built-in print function (Ctrl+P) — the tree renders well in print mode with the dark theme. For programmatic export, the tree structure is derived from standard JSON.parse, so any JSON serialization library can reproduce it.