JSON Beautifier Online

Turn compact or minified JSON into clean, indented, human-readable text with your choice of 2, 4, or 8-space indentation. Optionally sort keys alphabetically — everything runs in your browser and your data is never uploaded.

JSON Beautifier

Beautified JSON will appear here...

🌳 JSON Tree View

Beautify JSON to see the tree view...

Quick answer

Beautifying (also called pretty-printing) adds line breaks and 2-space indentation to compact or minified JSON so it's readable, without changing the data. It runs in your browser as JSON.parse() then JSON.stringify(data, null, 2), so nothing is uploaded — and because it parses first, it also tells you if the JSON is invalid. Paste JSON, click Beautify, then copy or download.

What does beautifying JSON do?

Beautifying JSON transforms compact or minified JSON into a readable, indented format. Consider this minified JSON:

{"name":"John","age":30,"address":{"city":"London","zip":"EC1A"}}

After beautifying with 2-space indentation:

{
  "name": "John",
  "age": 30,
  "address": {
    "city": "London",
    "zip": "EC1A"
  }
}

The data is identical — only the whitespace changes: each key-value pair moved onto its own line, and the nested address object was indented one level deeper. Beautified JSON is easier to read, debug, and review in code diffs.

Beautify vs minify

Beautify — adds whitespace and indentation for human readability. Use this when reading API responses, reviewing config files, or debugging data structures.

Minify — removes all whitespace to reduce file size. Use this when sending JSON in production HTTP responses or storing data compactly. Try the JSON Minifier for the opposite operation.

When to Use the JSON Beautifier

Edge cases & gotchas

Frequently Asked Questions

What does beautify JSON mean?

Beautifying JSON means adding indentation, line breaks, and proper whitespace to compact or minified JSON so it becomes readable. It is also called pretty-printing or formatting. The data itself does not change — only the presentation.

What is the difference between beautify and minify?

Beautify adds whitespace and indentation to make JSON human-readable. Minify does the opposite — it removes all whitespace to make JSON as compact as possible. You beautify for reading and debugging; you minify for shipping.

How many spaces does the beautifier add?

The beautifier uses 2-space indentation by default — the most common convention for JSON. This matches JSON.stringify(data, null, 2) in JavaScript.

Is my JSON sent to a server?

No. All JSON beautification happens entirely in your browser using JavaScript. Your data never leaves your device.

What is the difference between JSON Beautifier and JSON Formatter?

They share the core indentation step but are built for different jobs. This Beautifier is focused purely on producing clean, readable indented output — paste messy JSON, get pretty JSON, with the indentation conventions and gotchas explained. The JSON Formatter is a fuller workspace: it validates and reports the exact error position, offers a Repair step for near-JSON (single quotes, trailing commas), renders an interactive tree view, minifies, and generates a shareable link. Use the Beautifier when you just want readable output; use the Formatter when you also need to validate, fix, explore, or share.

Can I choose 4-space indentation instead of 2?

The beautifier uses 2-space indentation by default, which matches the most common JSON convention. If you need 4-space indentation, use the JSON Formatter which exposes indentation options.

What happens to duplicate keys when I beautify?

They collapse. JSON technically allows an object to list the same key twice, but when the beautifier parses it, only the last value for that key survives — so {"a":1,"a":2} beautifies to {"a": 2}. This is standard JSON.parse behavior and is worth knowing, because a duplicated key silently loses data rather than raising an error.

Does beautifying change my data at all?

The values are preserved, but two representational things are normalized because the tool parses and re-serializes: numbers take their canonical form (1.0 becomes 1) and unicode escapes like é are decoded to the actual character (é). The meaning is identical; only the text form of numbers and escaped characters may differ.