JSON Tree Viewer

What this tool does

The JSON Tree Viewer takes a block of JSON — the plain-text format that apps, APIs and websites use to exchange data — and turns it into an interactive tree you can open and close. Instead of scrolling through hundreds of lines of brackets and commas, you see a tidy outline: each object and array is a branch you can expand, and each simple value sits on its own row, labelled by type. Paste your JSON, drop a .json or .txt file, or load the built-in sample, and the tree appears instantly.

It is built for anyone who receives JSON and needs to understand it — not just developers. If you have ever exported data from a marketing platform, a CRM, an analytics dashboard or a payment provider and been handed a .json file, this tool is the friendly window into it.

Why and when you’d use it

A raw JSON file is technically readable but practically overwhelming. A typical export nests lists inside records inside more lists, and the structure that matters is buried under punctuation. You might use the tree viewer to:

• Inspect an API or webhook response to see which fields it actually contains before you map them into a spreadsheet or another system.
• Check a configuration file — settings for a website, an app or a deployment — without accidentally breaking it by editing in a plain editor.
• Understand a data export from a SaaS tool so you can plan a clean import elsewhere, or confirm a customer record has the fields you expected.
• Find one specific value in a big payload using search, then copy its exact location to share with a teammate or paste into another tool.

Because everything runs locally, it is also a safe place to open exports that contain real customer or business data.

How to use it

1. Paste your JSON into the input box, or drag a .json / .txt file onto the drop zone. The tool can also load a sample so you can try it immediately.
2. If the JSON is malformed, you get a clear red message naming the problem — fix the source and paste again.
3. Read the summary cards: total number of nodes, the deepest nesting level, and the top-level type (object or array).
4. Click the plus and minus controls to open and close branches. Use Expand all or Collapse all for the whole tree at once.
5. Drag the depth slider to reveal the structure to a chosen level — handy for getting an overview without drowning in detail.
6. Type in the search box to highlight any row whose key or value matches.
7. Click any row to copy its path (for example products[0].name) to your clipboard.

Tips and common pitfalls

The most frequent problem is JSON that is not actually valid: a trailing comma after the last item, single quotes instead of double quotes, or unquoted field names. JSON is strict — keys and text values must use double quotes, and there are no trailing commas. If the viewer rejects your input, the error message points at the cause.

Watch out, too, for files that are JSON-like but not JSON: JavaScript objects copied from code, or NDJSON (one JSON record per line) exports. The viewer expects a single valid JSON document. If you have NDJSON, wrap the lines in an array first.

Finally, remember that an empty array and an empty object are different things, and that null is a real value meaning “deliberately empty” — the viewer labels each one distinctly so you can tell them apart at a glance.

Privacy

This viewer is fully client-side. The JSON you paste or the file you drop is parsed and rendered by JavaScript on your own device. It is never uploaded, never stored between visits, and never logged. Close the tab and the data is gone — so inspecting sensitive exports here carries no exposure.