Facing thousands of lines of nested JSON, scrolling through a text editor to find data is like searching for a needle in a haystack. You need an intuitive way to understand data structure and locate specific fields.
Suried Tools' JSON tree view renders JSON data as an interactive tree structure with per-level expansion, search filtering, and path copying — explore complex data like browsing folders.
01 Expanding and Collapsing Nodes
Tree view expands the first level by default, giving you a quick overview of the top-level structure. Click the arrow icon before any object or array node to expand or collapse it.
The tool also supports "Expand All" and "Collapse All" actions. You can specify expanding to level N — for example, expand only the first 3 levels to grasp the overall structure without drowning in details.
Double-click a node to quickly toggle its expand/collapse state — faster than clicking the arrow.
02 Copying JSON Paths
In tree view, right-clicking or hovering any node reveals its full JSON path (e.g., response.data.users[0].email), which you can copy to the clipboard with one click.
This feature is invaluable when developing API data processing logic — paste the path directly into your code for precise nested data access. Both dot notation and bracket notation formats are supported.
03 Searching in Large JSON
Tree view has built-in search that filters by key name or value. After entering a search term, the tree automatically collapses irrelevant branches and shows only matching paths.
Search supports both exact and fuzzy matching modes. For numbers and booleans, you can also filter by type — for example, showing only nodes with null values helps diagnose missing data issues.
Use Ctrl+F (or Cmd+F) to quickly activate the search box in tree view.
04 Node Data Type Annotations
Each node in tree view displays a data type label — Object, Array, String, Number, Boolean, Null. Objects and arrays also show their child element count.
Different data types are color-coded: strings in green, numbers in blue, booleans in orange, null in gray — helping you quickly distinguish data characteristics.
FAQ
Can I edit JSON data in tree view?
Tree view is currently a read-only browsing mode. To modify data, switch back to the text editor view for editing — changes sync to tree view in real time.
Are there performance concerns with tree view? Will it lag?
Tree view uses virtual scrolling, rendering only nodes in the visible area. Even with tens of thousands of lines, there's no lag. For large datasets, collapse to the first few levels and expand as needed.
Can the copied JSON path be used directly in JavaScript?
Yes. The copied path uses JavaScript-style dot/bracket notation by default, ready to use as an object property chain in your code (works even better with optional chaining).
Does tree view show JSON array indices?
Yes. Each element in an array shows its index number (e.g., [0], [1], [2]), and indices are included in the copied JSON path.
How do I switch between tree view and text view?
Use the toggle button in the toolbar to switch between tree view and text editor view. Data state is fully synchronized across view switches.
Try the Tool Now
Suried Tools' JSON tree view renders JSON data as an interactive tree structure with per-level expansion, search filtering, and path copying — explore complex data like browsing folders.