JSON Schema Viewer: Visual Tree Explorer & Formatter

JSON Data & Schema Viewer
JSON Schema Viewer
Ready
Paste valid JSON on the left to explore.
Supports nested Objects, Arrays, and JSON Schemas.

How to Visualize Complex JSON Data

Raw JSON (JavaScript Object Notation) is the language of the web, but reading it is a nightmare. A standard API response often contains thousands of lines of nested arrays and objects. Trying to find a single key-value pair in a wall of text is inefficient and error-prone.

The ToolsHref JSON Schema Viewer is a recursive data explorer. It parses your raw string and renders it as an interactive, collapsible tree. This allows you to navigate massive datasets by opening only the branches you need, keeping your workspace clean.

Step-by-Step Guide

  1. Input Data: Paste your JSON string or Schema definition into the left-hand editor. The status bar will immediately validate your syntax.
  2. Visualize: Click the Visualize → button (or simply stop typing, as the tool auto-detects valid input).
  3. Navigate the Tree:
    • Click the ▶ arrow next to any Object {} or Array [] to expand or collapse it.
    • Use the “Collapse All” button to shut every node and see only the top-level keys.
    • Use “Expand All” to unfold the entire structure at once.

Understanding the Syntax Highlighting

Unlike a basic text editor, our viewer analyzes the data type of every value. We use specific color visual cues to help you spot data inconsistencies instantly.

Green (String)

Text data enclosed in quotes.
"name": "Alice"

Blue (Number)

Integers or floats. Helpful to ensure IDs are numbers, not strings.
"id": 101

Pink (Boolean)

Logical true/false values.
"isActive": true

Gray (Null)

Empty values. Crucial for debugging missing API fields.
"errors": null

Who is this tool for?

Backend Developers

When building REST APIs or GraphQL endpoints, you often need to verify that your JSON output matches the spec. This viewer helps you visualize nested relationships (e.g., a User object containing a list of Orders, which contains a list of Items).

Data Analysts

Modern data often comes in JSON format (from NoSQL databases like MongoDB or web scraping results). This tool allows analysts to inspect the schema of a dataset before loading it into a DataFrame or BI tool.

Frequently Asked Questions (FAQ)

Is my data private?

Yes. This is a client-side tool. The JSON parsing logic runs entirely within your browser using JavaScript’s native JSON.parse() engine. We do not store, record, or transmit your data to any external server. It is safe to use for internal API responses.

Why does it say “Invalid JSON”?

JSON is strict. Common errors include:

  • Trailing Commas: {"a": 1,} is invalid.
  • Single Quotes: {'a': 1} is invalid (must use double quotes).
  • Unquoted Keys: {a: 1} is invalid.

Our tool’s status bar will usually tell you exactly where the syntax error occurred.

Can I view large files?

Yes, but performance depends on your computer’s RAM. Since this is a browser-based tool, creating DOM elements for a JSON file larger than 10MB (approx 200,000 lines) may cause the browser to lag. For massive log files, we recommend splitting them first.

Can I convert this JSON into Java Classes?

Yes. Viewing the data structure is just the first step. If you are building a Spring Boot backend, you can instantly transform this JSON into a strictly typed Java object using our JSON to POJO Converter. It automatically detects types (Integer vs. Long) and generates the necessary Jackson/Lombok annotations.

Can I generate a flowchart from this data?

The tree view is great for debugging specific values, but if you need to document the “Big Picture” for your team, try our JSON to Mermaid Diagram Generator. It turns nested objects into a visual flowchart that you can embed directly into your GitHub README or technical documentation.

This is a package.json file. Can I see the dependency graph?

If you pasted a package.json file, the tree view will show you the list of versions, but it won’t show you the relationships. Use the NPM Dependency Visualizer to render a force-directed graph of your project’s libraries. This helps you identify bloated packages and circular dependencies instantly.

The JSON keys are in snake_case. Can I change them?

Legacy APIs often return keys like user_first_name, but in JavaScript or Java, you typically want userFirstName. You can use our Variable Case Converter to batch-convert variable names between camelCase, snake_case, and PascalCase before mapping them in your code.

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