JSON Structure Visualizer

Renders parsed JSON as a plain text tree using box-drawing characters, with each object annotated by its key count, each array by its item count, and each scalar value labeled with its type, useful for quickly understanding an unfamiliar document's shape in any plain-text context. A free online tool from Staaarter, right in your browser.

Runs locallyUpdated 2026-07-24

Overview

Introduction

Reading raw, deeply nested JSON to understand its overall shape means mentally tracking matching braces and brackets across dozens of lines.

This tool renders the same document as a plain-text tree, so the structure is visible at a glance without following bracket pairs by eye.

What Is JSON Structure Visualizer?

A structure visualizer that walks parsed JSON and prints an ASCII tree using box-drawing characters, annotating every node with its type and, for containers, its size.

Unlike an interactive tree-view UI widget, the output is plain text that can be pasted anywhere plain text works.

How JSON Structure Visualizer Works

The tool recursively renders each object's entries or array's items as tree branches: the last child at any level uses └─ and indents its own children by three spaces, while every other child uses ├─ and indents its children under a continuing │ column.

Object and array values are labeled with their container type and size ((object, N keys) or (array, N items)) and recursed into; scalar values are labeled with their JavaScript type directly.

When To Use JSON Structure Visualizer

Use it to get an at-a-glance sense of an unfamiliar JSON document's overall shape before diving into the details.

It's also useful for pasting a readable structure summary into documentation, a code review comment, or a bug report, where an interactive viewer isn't available.

Features

Advantages

  • Plain text output works anywhere, terminals, chat, markdown, code comments, with no rendering dependencies.
  • Every value's exact type is visible inline, not just its content.
  • Correctly handles arbitrary nesting depth with properly extended branch prefixes.

Limitations

  • This is a static text rendering, not an interactive, collapsible tree widget; very large documents produce a very long tree.
  • Long string values are shown in full via JSON.stringify rather than truncated, which can make lines with large text values hard to scan.

Examples

A small nested object

Input

{"name":"Ada","roles":["admin","editor"]}

Output

{} (object, 2 keys)
├─ name: "Ada" (string)
└─ roles: [] (array, 2 items)
   ├─ [0]: "admin" (string)
   └─ [1]: "editor" (string)

The top-level object shows its key count, each scalar shows its type, and the nested array shows its own item count with correctly indented children.

Invalid JSON

Input

{name: Ada}

Output

(reports a JSON parse error with line and column)

Unquoted keys and values aren't valid JSON, so the tool reports the underlying parse error instead of guessing at a tree.

Best Practices & Notes

Best Practices

  • Use this before Flatten a JSON Object when you first want to understand a document's shape, then flatten once you know which paths you actually need.
  • Paste the output into a code review or bug report when describing an unfamiliar payload's structure to a teammate.
  • For very large documents, consider running this against a representative sub-object instead of the whole thing.

Developer Notes

Branch prefixing is threaded through the recursion as an accumulated string (rather than recomputed from depth), with each recursive call passing down prefix + " " or prefix + "│ " depending on whether the current node was the last child, which is what keeps the vertical continuation lines aligned correctly across arbitrarily deep, mixed object/array nesting.

JSON Structure Visualizer Use Cases

  • Getting a quick overview of an unfamiliar JSON document's shape
  • Pasting a readable structure summary into a bug report or code review comment
  • Teaching or demonstrating how a specific JSON document is organized

Common Mistakes

  • Expecting an interactive, collapsible tree; this tool produces static plain text.
  • Running it against an enormous document and getting an overwhelming wall of text; try a sub-object instead.

Tips

  • Copy the tree output directly into a markdown code block for a readable structure summary in documentation.
  • Combine with JSON Analyzer if you also want aggregate statistics (total keys, max depth, size) rather than just the tree shape.

References

Frequently Asked Questions