JSON Formatter

JSON Input

1

JSON Output

Settings

Start formatting JSON

Enter JSON on the left, or use Import to load from a file.

Beautify, minify, validate, escape, and unescape JSONChoose 2-space, 4-space, or sorted-key outputEverything stays local in your browser

How to format and validate JSON

1Step 1 – Paste or import the raw JSON2Step 2 – Choose the output mode that fits the job3Step 3 – Review the result and fix parse errors quickly4Step 4 – Copy, download, or continue your workflow

A reliable formatter workflow is simple: paste the raw payload, choose whether you need readable or compact output, review parse errors if any, then copy, download, or continue into repair, table editing, or schema generation.

From one-line payload to readable structure

Expand raw JSON before you validate, diff, or edit it

A lot of real payloads come from logs, APIs, and queues as a single unreadable line. The formatter turns that into something you can inspect in seconds.

Raw input
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{"orderId":"SO-1024","customer":{"name":"Maeve","tier":"gold"},"items":[{"sku":"A-1","qty":2},{"sku":"B-8","qty":1}],"paid":true}
Formatted output
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{
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"orderId": "SO-1024",
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"customer": {
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"name": "Maeve",
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"tier": "gold"
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},
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"items": [
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{
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"sku": "A-1",
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"qty": 2
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},
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{
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"sku": "B-8",
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"qty": 1
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}
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],
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"paid": true
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}

Use pretty output for review and debugging. Switch to minified output only when you need compact transport or storage.

3 practical formatter examples

These are the common cases where formatting pays off immediately during real development work.

API response

Turn a one-line response into something you can inspect

Useful when you need to confirm fields, nested objects, arrays, and unexpected values quickly.

Input JSON
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{"user":{"id":42,"name":"Maeve"},"roles":["admin","editor"],"flags":{"beta":true,"suspended":false}}
Formatted JSON
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{
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"user": {
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"id": 42,
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"name": "Maeve"
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},
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"roles": [
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"admin",
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"editor"
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],
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"flags": {
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"beta": true,
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"suspended": false
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}
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}

Readable structure is usually the fastest way to spot field-level mistakes in API data.

Config diff

Sort keys before comparing environment config

Stable key order makes diffs cleaner and reduces noise when reviewing configuration changes.

Input JSON
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{
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"retry": 3,
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"apiBase": "https://api.example.com",
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"features": {
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"betaCheckout": true,
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"abTest": false
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},
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"timeout": 8000
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}
Formatted JSON
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{
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"apiBase": "https://api.example.com",
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"features": {
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"abTest": false,
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"betaCheckout": true
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},
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"retry": 3,
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"timeout": 8000
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}

Sorting is useful when your real goal is comparison rather than human-friendly business ordering.

Escaped payload

Unescape a JSON string before editing it

Logs and message systems often store JSON inside strings. Unescape it first, then keep working on the actual structure.

Input JSON
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"{\"event\":\"login\",\"user\":{\"id\":42,\"name\":\"Maeve\"},\"success\":true}"
Formatted JSON
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{
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"event": "login",
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"user": {
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"id": 42,
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"name": "Maeve"
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},
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"success": true
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}

If the payload is full of backslashes, unescaping is usually the first useful step.

  1. 01

    Tutorial Step

    Step 1 – Paste or import the raw JSON

    Start with the original payload. You do not need to clean up spacing or line breaks first.

    • Paste raw JSON into the left editor from an API response, config file, log entry, or export.
    • Or use Import to load JSON from a file, URL, or sample data.
    • Use this page as the first cleanup step before deeper validation or transformation.
    • Single-line JSON is fine. The formatter can expand it into a readable structure for you.
    • When several people need to review the same payload, keep the original input intact and format it here instead of editing it by hand first.
  2. 02

    Tutorial Step

    Step 2 – Choose the output mode that fits the job

    Readable JSON and compact JSON solve different problems. Pick the mode that matches what you need next.

    • Choose 2-space or 4-space indentation when you need a readable structure for debugging and review.
    • Optionally sort keys alphabetically to stabilize field order for diffing and code review.
    • Switch to minified output when the payload is headed to an API, environment variable, or storage layer.
    • Use Escape when you need a JSON string literal, for example inside logs or nested config values.
    • Use Unescape when the input is an escaped JSON string and you want the plain text back.
  3. 03

    Tutorial Step

    Step 3 – Review the result and fix parse errors quickly

    The output area is both a result view and a fast feedback loop. Valid JSON renders immediately; invalid JSON shows an actionable error.

    • If the JSON is valid, the right panel shows formatted output with syntax highlighting.
    • If the input has a parse error, the page shows the error immediately.
    • Jump to the failing line instead of manually scanning the whole payload.
    • If the payload is too broken to fix quickly, move it straight to the Repair tool.
    • When the data contains nested escaped JSON, unescape it first so the real structure becomes visible.
  4. 04

    Tutorial Step

    Step 4 – Copy, download, or continue your workflow

    Once the JSON is clean, use it as the working copy for the next step instead of repeating the cleanup elsewhere.

    • Copy the result into your editor, docs, API client, ticket, or test fixture.
    • Download the result as a .json file for handoff, backup, or traceability.
    • Use Apply to input when the right side should become your next editing baseline.
    • Move the cleaned JSON into the table editor when field-level review is easier in rows and columns.
    • Generate a schema from the cleaned payload when the next step is validation, documentation, or code generation.

A common formatter workflow

1

Paste the raw payload into the formatter and expand it into readable JSON first.

2

If the parser fails, jump to the error or move the payload into Repair.

3

Once the structure is valid, choose beautified, minified, escaped, or unescaped output based on the next task.

4

Apply the output back to input if the cleaned result should become your new working copy.

5

Continue into the table editor, compare tool, or schema generator when formatting is no longer the bottleneck.

Putting the formatter at the front of the workflow usually saves time later because every downstream tool receives cleaner JSON.

Quick tips for beginners

Most JSON errors come from missing commas, trailing commas, or using single quotes instead of double quotes.
If the payload is one long line, pretty-print it first so the structure is visible before you debug it.
Use beautified JSON for review and minified JSON for transport or storage.

Related JSON tools

  • Validate JSON before or after formatting so syntax problems are easier to isolate.
  • Repair broken JSON first when the payload cannot be parsed cleanly.
  • Move clean JSON into conversion, editing, or schema tools without redoing the cleanup step.

Frequently Asked Questions

What does JSON formatting do?

JSON formatting adds indentation, line breaks, and spacing so raw payloads are easier to read, review, and debug.

Can I customize the indentation?

Yes. You can switch between 2 spaces, 4 spaces, or minified output.

Will formatting change my data?

No. Formatting only changes presentation. The JSON values and structure remain the same.

Can I format large JSON files?

Yes. The formatter handles large payloads well, although very large files may still take a moment to process.

What is the difference between formatting and validation?

Formatting focuses on readability, while validation focuses on syntax correctness. This page does both in one flow.

Is my JSON uploaded to a server?

No. Formatting, validation, escaping, and unescaping all run locally in your browser.