JSON Tree Viewer
The JSON Tree Viewer displays any JSON object as an interactive, collapsible tree so you can explore nested structures without scrolling through raw text. It is free, works entirely in your browser, and requires no login or software installation.
What Is the JSON Tree Viewer?
The JSON Tree Viewer takes any valid JSON document and displays it as an expandable, collapsible hierarchy of nodes. Rather than scrolling through a flat text file looking for a specific key buried three levels deep, you can look through the structure visually, collapsing branches you are not interested in and drilling down into the ones you are. It is particularly useful when working with large API responses, configuration files, or any JSON document where the structure is not immediately obvious from the raw text.
The viewer parses input according to RFC 8259 and displays each value with its JSON type clearly labelled, following the types described in the MDN JSON reference. In practice, this means you can immediately see whether a field is a string, number, boolean, null, array, or object, without having to count quotation marks in the raw source.
How to Use the JSON Tree Viewer
- Paste your JSON into the input area and click View, or upload a
.jsonfile directly. - The tree renders with the top-level structure expanded. Arrays show their item count and objects show their key count in brackets next to the node label.
- Click any node label to expand or collapse that branch. Use Expand All and Collapse All to control the entire tree at once.
- Hover over any value to see its full JSON path, for example
response.data.items[4].id. - Use the search field to filter nodes by key name. Matching keys are highlighted and their parent branches are automatically expanded so you can find them without scrolling.
Technical Background
The tree viewer parses the JSON input into an in-memory object tree and then builds up a recursive DOM structure where each node corresponds to a key or value. Object nodes display their keys in sorted or insertion order depending on your setting. Array nodes display their indices as labels. Each leaf node shows the value's type with a colour-coded indicator: strings in one colour, numbers in another, booleans and null in distinct styles.
What is more, the path inspector attached to each node computes the full dot-and-bracket path from the root by walking back up the tree. This is useful when you come across an interesting value and need to write code to access it programmatically without manually tracing the nesting levels. Copy the path with one click and plug it straight into your accessor.
Given that the tree renders as DOM nodes, very large JSON documents with tens of thousands of keys can cause rendering to slow down. The viewer uses lazy rendering for large arrays, only creating DOM nodes for visible items and loading more as you scroll, which keeps performance acceptable for most real-world documents.
Common Use Cases
- API response exploration: When integrating with a new API, run a sample response through the tree viewer to work through the shape of the data before writing any code to process it.
- Configuration inspection: Complex configuration files with nested sections and arrays are much easier to navigate in tree view than in a raw text editor.
- Debugging nested data: When a value is coming through incorrectly in your application, finding the exact field in a tree view is faster than reading through formatted JSON.
- Documentation: Screenshotting a tree view of a JSON schema or response structure is a quick way to produce readable documentation for other developers.
For making edits to the JSON you are viewing, switch to the JSON Editor, which combines tree navigation with inline editing. For validating the structure against a schema, use the JSON Validator.
Limitations to Know
The tree viewer is a read-only tool. You can navigate and inspect the structure, but to make changes you need to switch to the JSON Editor. This is intentional: keeping the viewer read-only keeps it fast and focused on inspection rather than editing.
That said, the search functionality filters by key name only. If you need to find a specific value rather than a key, you will need to use the raw JSON view and search there. Value search is a planned improvement.
In practice, JSON documents with circular references cannot be displayed because they cannot be parsed by JSON.parse(). If you are working with an in-memory JavaScript object that has circular references and want to view it, you will need to serialise it using a library that handles cycles, such as flatted or json-stringify-safe, before pasting it here.
Conclusion
The JSON Tree Viewer makes large or unfamiliar JSON documents navigable without any setup. It colour-codes value types, shows array and object sizes at a glance, provides full path access to any node, and supports key search. For editing what you find, the JSON Editor is the natural next step.
S. Siddiqui
Founder & Editor-in-Chief, YourToolsBase
How visualising a Prisma response saved me from writing the wrong component
When I was building the tool detail page for YourToolsBase, I needed to understand the exact shape of the data coming back from a Prisma query before writing the React component. The query joined the Tool model with its Category, Tags, and UserRatings relations. Rather than dropping console.log chains through the server component and reading through terminal output, I ran a test query, copied the JSON response, and pasted it into this tree viewer.
The visualisation broke down the nested structure in one go. What I had assumed was a flat tags array was actually an array of objects each containing a tag relation with its own id, name, and slug fields. Given that I had been about to write tag.name directly in the component, the tree viewer saved me from a runtime error that would have taken a few minutes to track down, but more importantly it gave me a clear mental model of the shape before I wrote a single line of JSX. The JSON specification (RFC 8259) makes no distinction between flat and nested arrays, which means deeply nested Prisma responses are perfectly valid JSON that only becomes confusing when read as raw text.
What is more, the viewer revealed that the UserRatings relation was coming back as an array of up to 500 objects on popular tools, rather than the aggregated summary I had expected. That was a query design issue I needed to fix before the page went live, not after. Catching that at the data inspection stage rather than the performance monitoring stage was a meaningful difference.
Frequently Asked Questions
Can I edit JSON in the tree viewer?
How does the path display work?
Why does the tree show item counts next to arrays and objects?
What happens if I paste invalid JSON?
Can I view very large JSON files?
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About the Author
S. Siddiqui is the founder and editor-in-chief of YourToolsBase, overseeing all content, tool accuracy, and editorial standards.
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Formulas and data in this tool are based on guidelines from the above sources.