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Free, private, and runs entirely in your browser. No data is sent to any server.
A JSON viewer presents structured data in a visual, navigable tree format rather than as raw text. Each object becomes an expandable node, each array shows its items as a numbered list, and primitive values (strings, numbers, booleans, null) are displayed with type-specific colouring. This visual representation makes it easy to explore large, deeply nested JSON documents — you can collapse sections you do not need and expand only the branches you are investigating. For complex API responses, database exports, or configuration files with hundreds of nested keys, a tree viewer is dramatically faster than scrolling through raw text.
Paste or type your JSON into the editor panel. The viewer instantly parses the input and renders an interactive tree on the right. Click any node to expand or collapse it. Object keys are shown with their type indicators (object, array, string, number, boolean, null), and array items display their index. The tree supports deep nesting — even JSON with 20+ levels renders cleanly with indentation guides. You can expand all nodes at once for a complete view or collapse everything to start from the top-level keys. The viewer processes everything locally in your browser, keeping your data private.
Use the JSON formatter when you want formatted text output — for copying into code, sharing in documentation, or pasting into an API testing tool. Use the tree viewer when you want to explore and understand the structure of unfamiliar JSON — navigating an API response to find the right path to a value, inspecting a complex nested document, or quickly seeing how deep a structure goes. The tree viewer is particularly valuable for discovery: when you do not know the structure of the data and need to explore it interactively rather than reading through hundreds of lines of text.
Large JSON documents (thousands of keys or many nesting levels) can be overwhelming even in a tree view. Start by collapsing all nodes, then selectively expand only the branches you need. Look at the root-level keys first to understand the overall structure before diving deeper. If you are searching for a specific value, use your browser's Ctrl+F / Cmd+F search on the raw input. For repeated exploration of the same API, note the key paths you need (e.g., data.users[0].profile.email) so you can navigate directly in future sessions.