JSON Formatter & Beautifier

How to Use the JSON Formatter

1. Paste your raw or minified JSON into the input panel on the left.
2. Click Format to beautify with indentation, or Minify to compress.
3. Choose your preferred indent size (2 spaces, 4 spaces, or tabs).
4. Click Copy to copy the result to your clipboard.

Features

• Instant formatting — powered by the browser's native JSON.parse() and JSON.stringify().
• Minification — remove all whitespace for compact JSON output.
• Syntax validation — clear error messages when your JSON is invalid.
• Customizable indentation — 2 spaces, 4 spaces, or tabs.
• One-click copy — copy formatted output to your clipboard instantly.
• Privacy-first — all processing happens in your browser. No data is transmitted.

What Is JSON?

JSON (JavaScript Object Notation) is a lightweight data interchange format that is easy for humans to read and write and easy for machines to parse and generate. It is the most common format for APIs, configuration files, and data storage in modern web development.

JSON supports six data types: strings (double-quoted), numbers (integer or floating-point), booleans (true/false), null, arrays (ordered lists in square brackets), and objects (key-value pairs in curly braces). Keys must always be double-quoted strings. Unlike JavaScript, JSON does not allow trailing commas, single quotes, comments, or undefined values.

When to Format vs. Minify

Use formatting (beautifying) when you need to read, debug, or edit JSON — the added whitespace and indentation make the structure clear at a glance. Use minification when sending JSON over a network or storing it in production — removing whitespace reduces file size and bandwidth usage.

A typical API response minified to one line might be 50 KB, but formatted with 2-space indentation it expands to 65–70 KB. In production, minified JSON reduces bandwidth costs and speeds up parsing. During development, formatted JSON makes debugging significantly faster — you can spot missing commas, mismatched brackets, and structural errors at a glance.

JSON in Modern Development

JSON has become the de facto standard for data exchange on the web. REST APIs return JSON responses. Configuration files for tools like package.json (Node.js), tsconfig.json (TypeScript), and .eslintrc.json (ESLint) use JSON format. NoSQL databases like MongoDB store documents in a JSON-like format called BSON. Even newer formats like JSON5 and JSONC (JSON with comments) build on JSON's foundation.

Indentation Styles

The two most common indentation styles are 2 spaces and 4 spaces. Two-space indentation is standard in the JavaScript ecosystem (used by most npm packages, Google's style guide, and VS Code's default for JSON). Four-space indentation is more common in Python and Java communities where the JSON is generated from application code. Tab indentation gives each developer control over visual width in their editor but can cause alignment issues in some tools.

Working with JSON in Code

In JavaScript, JSON.parse(string) converts a JSON string into a JavaScript object, and JSON.stringify(object, null, 2) converts an object back to a formatted JSON string. The third argument controls indentation. In Python, use the json module: json.loads() to parse and json.dumps(obj, indent=2) to format. Most languages have built-in or standard library support for JSON parsing and serialization.

Related Tools

After formatting your JSON, validate it for syntax errors or check it against a JSON Schema. Convert to other formats with the JSON to CSV Converter or JSON-YAML Converter. View CSV output in the CSV Viewer. Decode encoded payloads with the Base64 Encoder or URL Encoder. Inspect API tokens with the JWT Decoder. Compare JSON versions with the Diff Checker. Not sure what format your data is in? Paste Anything to auto-detect it.

Learn More

• Common JSON Errors and How to Fix Them — debug the most frequent JSON syntax mistakes.
• How to Parse JSON in Python — a practical guide to reading, writing, and transforming JSON with Python.
• JSON vs XML: Which Should You Use? — understand the trade-offs between the two most popular data formats.