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Online JSON Formatter/Prettifier

The JSON formatter/prettifier is a free-to-use online tool on BetterBugs.io that instantly formats JSON strings into human-readable code structures with tree views and proper indentation.

Input JSON here:

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Prettified JSON

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What is the JSON Formatter/Prettifier Tool?

The JSON formatter tool enables you to nicely format your JSON code in one click by adding proper indentation, line breaks, and spaces to your code. This makes the JSON data more readable, usable, and easier to work with while writing and testing apps.

You can use it to convert the minified JSON or messy JSON data (from APIs, logs, configs, or files) into properly indented, syntax-highlighted output. It supports validation for errors and tree expansion/collapse. You can also tweak the number of indentations you’d like in the formatted JSON output.

Plus, this tool makes it extremely easy to spot errors and make modifications in JSON data. It doesn’t affect your JSON data or syntax at all; you simply get a more organized and aesthetically pleasing format.

You can use the JSON formatter here on BetterBugs.io completely free. Just copy-paste code or upload your JSON file and instantly get the formatted version of it.

How to Use the JSON Formatter Tool on BetterBugs.io?

Using the tool is super simple:

Step 1:Add your JSON code: To add code:

  • Copy and paste the JSON code in the input JSON area.

  • You can also upload a minified or unformatted JSON file from your local system. For this, use the “Choose File” button.

Step 2:Format the Code:Hit the “Prettify” button to instantly format your JSON code. You can also specify the number of indentations for your JSON data. You have four options for it: 1, 2, 3, and 4 spaces.
NOTE: If there’s any syntax error with the JSON, make sure to fix it before adding it to the formatter or you will end up getting the “Invalid JSON input” error as a toast notification.
Step 3:Use Formatted Code:To use the formatted code:

  • Hit the “Copy” button and paste wherever you want to.

  • You can also download it as a JSON file using the “Download” button.

To clear all code, you’ve the “Clear” button.

Example

Unformatted JSON String

{"book":{"title":"1Q84","author":"Haruki Murakami","year":2009,"character":{"name":"Tengo","role":"writer","age":30,"skills":["mathematics","novel_editing"]},"world":{"little_people":true,"two_moons":true}}}

Formatted String with JSON Formatter Tool on BetterBugs.io

{
  "book": {
    "title": "1Q84",
    "author": "Haruki Murakami",
    "year": 2009,
    "character": {
      "name": "Tengo",
      "role": "writer",
      "age": 30,
      "skills": [
        "mathematics",
        "novel_editing"
      ]
    },
    "world": {
      "little_people": true,
      "two_moons": true
    }
  }
}
What are the Use Cases of the JSON Formatter Tool?

You can use the JSON prettier tool to:

  • Debugging API responsesFormat RAW, minified JSON from Postman collections, curl commands, or browser Network tab to quickly spot nesting errors, missing commas, or malformed arrays during REST/GraphQL troubleshooting.
  • Log analysisFormat complex JSON logs from Sentry dashboards, server traces, ELK stacks, or Chrome DevTools console outputs to triage issues like failed auth flows or payload mismatches in production environments.
  • Config validationCheck and format package.json, .env configs, or YAML-to-JSON conversions during CI/CD pipelines in GitHub Actions, Jira workflows, or Azure DevOps deploys to catch syntax issues pre-merge.
  • API integration testingValidate incoming/outgoing payloads in automated tests using tools like Postman or Supertest; format responses to confirm data shapes match schemas before scripting assertions.
  • Work Collaboratively on PM Tools Convert unreadable minified JSON snippets into readable trees, then copy-paste into GitHub PR comments or your preferred version control tool; perfect for faster code reviews and triage by distributed teams.
  • Data migrationClean and validate legacy JSON files or database exports before importing into other project tools.
  • Unit/Integration TestingFormat test fixtures, mock responses, or expected payloads in Jest/Cypress suites to visually verify structure matches real API data
  • End-to-End TestingDecode and format JSON from Playwright/Puppeteer traces or Selenium logs to analyze automation failures, like assertion mismatches in e2e workflows for web apps.
  • Performance ProfilingFormat large JSON payloads from browser performance APIs (e.g., Navigation Timing) or stack traces to identify bloat in frontend bundles during dev sprints.
  • Learning JSONBeginners can paste real-world examples from public APIs (like JSONPlaceholder) to visualize object nesting, arrays, and null handling, building intuition for schema design.
BetterBugs Logo

The essential AI companion every QA needs

Swiftly document and share bugs like never before

Free Forever. No Credit Card Required.

Use AI to reproduce and fix bugs

Screen Recording with Rewind (Upto 2-min)

Capture backend logswith every bug report

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