Install our app 🪄 click on the icon in the top right of the address bar.

JSON Validator & Beautifier

What Is a JSON Formatter and Validator?

JSON (JavaScript Object Notation) is the most widely used data interchange format on the internet, powering REST APIs, configuration files, NoSQL databases, and frontend applications. A JSON formatter takes minified or poorly indented JSON and reformats it into a clean, human-readable structure with consistent indentation and line breaks. A JSON validator checks whether your JSON is syntactically correct according to the ECMA-404 standard — detecting common errors like trailing commas, missing quotation marks around keys, mismatched brackets, and invalid escape sequences. Together, these two functions are indispensable for any developer working with APIs, debugging payloads, reviewing configuration files, or collaborating on data-driven projects. Badly formatted JSON is notoriously hard to read; a single misplaced comma can break an entire application. This tool solves both problems instantly and for free.

How to Use the JSON Formatter & Validator

  1. Paste your JSON — minified, partially formatted, or broken — into the input area.
  2. Click "Format / Validate" to process it. If the JSON is valid, you'll see a beautifully indented version in the output panel. If it contains errors, the tool will pinpoint the exact line and character where the problem occurred.
  3. Copy the formatted JSON with one click and paste it back into your code editor, API client, or documentation.

You can also adjust the indentation size (2 or 4 spaces) to match your project's coding style.

Common Use Cases

  • API response debugging: Paste a raw API response to instantly make sense of deeply nested objects and arrays.
  • Config file editing: Validate package.json, tsconfig.json, appsettings.json, or any other JSON config before committing changes.
  • Postman / Insomnia: Format request bodies and response payloads for easier reading and documentation.
  • Data migration: Validate exported JSON datasets before importing them into a new database or service.
  • Code review: Share clean, formatted JSON snippets in pull requests and documentation instead of minified blobs.
  • Learning JSON: Understand the structure of any JSON object by viewing it in a neatly indented, collapsible tree.