Format, indent, validate, and beautify JSON with custom spacing.
Validate JSON syntax and view exact error line, column, and diagnostic tips.
Query and extract elements from complex JSON data using JSONPath syntax.
Convert JSON arrays or nested objects to formatted CSV with flat headers.
Format and indent XML documents with proper nesting and tag alignment.
Beautify and format YAML documents with standardized indentation.
Deeply nested JSON is difficult to scan as raw text, especially in large API responses or configuration exports. This JSON tree viewer renders your data as a collapsible outline, letting you expand or collapse individual objects and arrays to focus on exactly the part you need. It's a favorite for developers exploring unfamiliar API payloads, debugging deeply nested structures, or documenting a data model visually. Unlike plain text formatting, the tree view gives you a spatial sense of hierarchy at a glance. The entire viewer runs client-side in your browser, so nothing you paste is uploaded, and there's no signup required to use it. Paste your JSON below to start exploring its structure interactively.
It visualizes JSON as a collapsible hierarchy so you can navigate deeply nested objects and arrays without scrolling through raw text.
Yes, click any node's toggle to expand or collapse just that branch, or use the expand-all/collapse-all controls for the whole tree.
Yes, each value is labeled with its type - string, number, boolean, null, array, or object - so you can quickly understand the schema.
Yes, the formatter outputs indented text, while the tree viewer renders an interactive visual hierarchy you can click through.
Yes, you can search for specific keys or values and the matching nodes are highlighted in the tree.
No, the tree is rendered entirely in your browser using client-side JavaScript - your data is never sent anywhere.
Yes, it's optimized to lazily render nodes so large documents remain responsive when expanding sections.
What Is JSON? A Beginner's Explanation
What is JSON? A plain-English explanation of JSON meaning, syntax, and why every API uses it — with a real example and answers to the questions beginners ask.
JSONPath Queries: Finding Data in Big JSON Files
A practical JSONPath guide: selectors, wildcards, slices and filter expression syntax, with worked examples for pulling data out of large JSON API responses.
How to Convert JSON to CSV Without Losing Nested Data
Convert JSON to CSV without losing nested data: flattening strategies for nested objects and arrays, CSV escaping rules, and clean output in Excel and Sheets.