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Explore JSON/XML data as an interactive tree. Copy paths with one click.
The Visual Data Explorer transforms raw JSON and XML data into an interactive tree visualization that makes it easy to navigate complex nested structures. When you are working with deeply nested API responses, configuration files, or data dumps, finding the relevant information in raw text can be frustrating. This tool renders your data as an expandable and collapsible tree, with syntax highlighting, type indicators, and one-click path copying.
To explore your data, paste or upload a JSON or XML document into the input panel. The tree view renders immediately, showing each key-value pair with its data type (string, number, boolean, null, array, object) color-coded for quick identification. Collapsed nodes show a preview of their contents, and expanding a node reveals its children with smooth animation. The tree handles deeply nested structures without performance degradation through virtualized rendering.
One of the most powerful features is the ability to copy the path to any node with a single click. The path can be copied in multiple formats: dot notation (`data.users[0].name`), bracket notation (`data['users'][0]['name']`), JSON Pointer (`/data/users/0/name`), or XPath for XML data. This is invaluable when writing jq filters, JSONPath expressions, TypeScript type definitions, or documentation that references specific fields in a data structure.
The explorer also includes powerful search and filter capabilities. You can search for keys, values, or types across the entire tree. Matching nodes are highlighted and the tree auto-expands to show them. You can filter to show only nodes matching certain criteria, hide null or empty values, or collapse all nodes to a specified depth. These features make it practical to navigate documents with thousands of nodes.
For data comparison, the explorer includes a diff mode. Load two documents and the tool visually highlights additions, deletions, and modifications in the tree structure. The diff is computed on the parsed data model, not raw text, so it correctly identifies structural changes even when formatting or key ordering differs. This is particularly useful for regression testing, configuration auditing, or API contract validation.
Performance is optimized for large documents. The tree uses virtual scrolling to render only visible nodes, keeping the interface responsive even with documents containing hundreds of thousands of elements. Memory usage is efficient because the tool lazily parses and renders subtrees as they are expanded. The explorer can handle JSON files of 50 MB or more without significant slowdown, making it suitable for production-scale data analysis.
The current version is read-only for exploration. You can copy paths and values but cannot modify the data through the tree. For editing, use the Convert tool's format conversion or the Raw JSON editor.
Dot notation, bracket notation, JSON Pointer, and XPath. You can configure the default format in settings and switch between formats with a dropdown when copying.
Yes. The explorer handles XML namespaces correctly, displaying both the prefix and the namespace URI. XPath expressions generated from the tree include proper namespace handling.
Array diffs use a longest-common-subsequence algorithm to identify insertions, deletions, and reorderings rather than simple index-based comparison. This produces meaningful diffs even when array order changes.