JSON Tools

JSON Viewer & Reader — Tree & Code View

Explore any JSON document in an interactive, collapsible tree — keys, types, and counts at a glance, with code view one click away.

In short

View and read JSON online: paste text or drop a .json file, explore it as a collapsible tree or syntax-highlighted code, see node counts and depth. Free, no upload.

By NaveenKumar T · Updated 18 Sep 2026

Learn: JSON Crack Alternative Without Signup: Viewing JSON as a Tree

Collapsible tree view
Drag & drop .json files or load a URL
Item & key counts per node

Runs entirely in your browser — nothing you paste or open here is uploaded, logged, or stored.How we handle data →

Example

JSON Viewer: input and output

A minified category tree, three levels deep — a good stress test for both the code and tree views.

Input · json

{"category":"Electronics","id":1,"children":[{"category":"Computers","id":2,"children":[{"category":"Laptops","id":5,"children":[]},{"category":"Monitors","id":6,"children":[]}]},{"category":"Phones","id":3,"children":[]}]}

Output · json

{
  "category": "Electronics",
  "id": 1,
  "children": [
    {
      "category": "Computers",
      "id": 2,
      "children": [
        {
          "category": "Laptops",
          "id": 5,
          "children": []
        },
        {
          "category": "Monitors",
          "id": 6,
          "children": []
        }
      ]
    },
    {
      "category": "Phones",
      "id": 3,
      "children": []
    }
  ]
}

Leaf categories — Laptops, Monitors, and Phones — keep their children as an empty [] rather than expanding, a quick visual cue in both Code and Tree view that a branch has nothing under it.

Learn more

Why use a JSON viewer instead of raw text?

JSON's nested braces are easy for machines and brutal for eyes. A tree view turns that nesting into structure you can navigate: fold the branches you don't care about, read counts instead of scrolling ('items [ 250 items ]' tells you more than a wall of text), and follow the path to any value without losing your place.

This viewer keeps both representations in sync — flip between Tree and Code with one click, because some questions ('what's the shape of this?') are tree questions and others ('what exactly does line 4012 say?') are code questions.

Reading a .json file without installing anything

Double-clicking a .json file rarely does what you want: Windows often reaches for Notepad, which shows the raw single-line text; some systems just ask which app to open it with, because there is no universal default. Neither gets you to 'read the structure,' which is what a .json export usually needs. This page is the missing default app — drop the file onto the editor, or use Upload Data / Load URL, and it opens straight into a formatted, explorable tree with no install and no account.

Because the file is read with the browser's own File API rather than posted anywhere, it never travels over a network — the same guarantee every tool on this site makes. That matters for exports that carry personal data, configuration with embedded secrets, or a customer record you were handed for debugging: open it here and it stays on the machine you opened it on, which you can confirm by disconnecting from the internet once the page has loaded. Loading a URL is the one exception worth knowing: your browser fetches that endpoint directly, so it only works for URLs that allow cross-origin requests, and the file itself is still never proxied through a server of ours.

Reading API responses effectively

Start collapsed: the top level shows you the response envelope (status, data, meta) in three lines. Open only the branch you're debugging. Use the live stats below the workspace — nodes and maximum depth — to sanity-check payload size before you ship it to a client, and the byte counter to see what minification would save. When you know the shape and want one value out of it, the JSONPath & JMESPath tester runs a query against the same document; when the shape is the question, JSON Compare shows two responses side by side. The XML viewer renders SOAP and RSS payloads the same way, and a file where every line is its own JSON record — not one document — needs the JSONL Viewer instead, because a plain `JSON.parse` fails on the second line of one of those.

Help

Frequently asked questions

Everything you need to know about the JSON Viewer.

01How do I view JSON as a tree?

Paste your JSON and click Tree View — the document renders as an interactive tree where every object and array can be folded with its ▾ toggle. Each branch shows how many keys or items it contains, and the toolbar's expand icon collapses or expands everything at once.

02How do I open and read a .json file here?

Three ways: drag the file anywhere onto the input editor, click Upload Data for the file picker, or use the Load URL option to fetch JSON from a public endpoint your browser can reach directly. The document loads, validates, and opens in Tree view immediately — nothing is uploaded to a server, because the file is read locally through your browser's File API, which is what makes this safe for exports that contain personal data or account details.

03Why does my .json file look like one enormous line?

Because machines write JSON, and machines don't need whitespace — a parser reads {"a":1} and { "a": 1 } identically, so most exporters skip the bytes. Double-clicking that file usually opens a text editor showing the whole document as one unreadable line, or a spreadsheet app that doesn't know what to do with braces. This viewer parses the structure instead of treating it as prose: switch to Code view for a formatted, line-numbered version, or stay in Tree view and fold everything except the branch you're reading.

04What do the colors in the viewer mean?

Keys are navy blue, strings green, numbers amber, booleans pink, and null gray — the same palette as the code editor, so values read identically in both views.

05Can I view very large JSON files?

Yes. Collapsed branches aren't rendered until you open them, so even deeply nested, multi-megabyte documents stay responsive. The code view, powered by the VS Code engine, handles large files natively with folding regions.

06Can I extract just one part of the document?

Use the filter (funnel) icon and enter a path like data[0].fund — the matching subset is written to the output, where you can view, copy, or download it independently.

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