JSON Viewer — Interactive Tree Explorer

A JSON Tree Viewer displays JSON data as an interactive, hierarchical tree structure — similar to how a file explorer shows folders and files. Each object becomes an expandable node, arrays show their items as children, and primitive values (strings, numbers, booleans) are displayed as color-coded leaves. This makes it dramatically easier to navigate and understand complex, deeply nested JSON compared to reading raw text in an editor.

Our tree viewer uses consistent color coding: strings are green, numbers are blue, booleans are orange, null values are gray, and keys are purple. This lets you instantly identify data types without reading each value, which is particularly helpful when scanning large datasets or looking for type inconsistencies.

JSONPath is a query language for JSON, similar to XPath for XML. When you click the copy icon on any tree node, we copy its full JSONPath expression (e.g., $.store.books[0].title). You can paste this path into our JSONPath Query tool to extract that specific value, use it in code with libraries like jsonpath-plus (JavaScript), JsonPath (Java), or jmespath (Python), or include it in API query parameters.

Yes. The tree viewer uses on-demand rendering — only expanded nodes are rendered in the DOM, so the initial load is fast even for files with thousands of properties. Files up to 10 MB work smoothly. For extremely large files, use the search feature to locate specific data without expanding the entire tree.

The search filters the tree to show only nodes whose keys or values match your query. All ancestor nodes are automatically shown to maintain context and hierarchy. Matching text is highlighted in the results. This is invaluable for finding a specific field name or value in a JSON document with hundreds of nested properties.

Absolutely. Paste any JSON from a MongoDB document, PostgreSQL JSONB column, DynamoDB item, or CouchDB record into the viewer. The tree visualization helps you understand the document structure, verify nested fields, and plan database queries without writing code to inspect individual properties.

The JSON Formatter outputs prettified or minified text — it is best for cleaning up JSON and validating syntax. The Tree Viewer renders the same data as an interactive, collapsible hierarchy — it is best for exploring structure, navigating nested data, and extracting JSONPaths. They complement each other: format your JSON first, then visualize the tree.

Yes. The tree displays keys in the exact order they appear in your JSON input. While the JSON specification does not guarantee key order, this tool preserves it because order is often meaningful for readability and debugging, especially in configuration files and API responses.

Yes. Use the Expand All button to open every node in the tree, or Collapse All to close everything back to the root level. This is useful for getting a bird's-eye view of the entire structure or resetting the tree after deep exploration. You can also expand to a specific depth level.