JSON, YAML & XML Formatter

Validate, prettify, and debug structured data instantly.

Ready to validate and format.

Input

Formatted Output

Run validation to see formatted output here.

Why use this formatter?

Use this online formatter to clean structured payloads before debugging API requests, config files, and data exports.

JSON validation with pretty print, YAML parsing with indentation, and XML syntax checks with formatted output.

Check commas, quotes, and trailing commas in objects or arrays.

Use consistent spaces for nested keys and list items.

Ensure opening and closing tags match and attribute quotes are valid.

Learn core formatting concepts for JSON, YAML, and XML before handling production payloads.

JSON requires strict syntax. Keys and string values need double quotes, arrays use square brackets, and objects use curly braces.

{
  "user": "chandan",
  "skills": ["html", "css", "javascript"],
  "active": true
}

Key takeaway: Use strict quoting and commas correctly to avoid JSON parse errors.

YAML relies on indentation instead of braces. It is common in CI pipelines, Kubernetes files, and config documents.

app: online-compiler
version: 1.0
enabled: true
features:
  - formatter
  - regex

Key takeaway: Keep indentation consistent with spaces to prevent broken YAML structures.

XML uses start and end tags and can include attributes. Every opened tag must be closed correctly.

<project name="online-compiler">
  <feature type="tool">formatter</feature>
  <feature type="tool">regex</feature>
</project>

Key takeaway: Always match opening and closing tags for valid XML parsing.

Incoming payloads from APIs are often minified. Formatter tools help make them readable for debugging and team reviews.

{"id":12,"name":"Demo","roles":["admin","editor"],"meta":{"country":"IN"}}

Key takeaway: Formatting payloads first helps you debug faster and avoid missing nested keys.

Apply structured validation practices for larger, nested, and integration-heavy data workflows.

Complex objects can hide subtle structure errors. Validate each layer from top-level keys to deeply nested arrays.

{
  "order": {
    "id": "A100",
    "items": [
      { "sku": "P1", "qty": 2 },
      { "sku": "P2", "qty": 1 }
    ]
  }
}

Key takeaway: Inspect nested paths step by step instead of scanning entire payload at once.

Advanced YAML often combines lists and maps. Proper indentation and grouping are critical for deployment configs.

services:
  web:
    image: nginx
    ports:
      - "80:80"
  api:
    image: node:20
    environment:
      NODE_ENV: production

Key takeaway: Visual hierarchy in YAML is logic hierarchy; one indentation mistake changes meaning.

In larger XML documents, namespaces and consistent node hierarchy reduce conflicts and parsing ambiguity.

<ns:catalog xmlns:ns="https://example.com/schema">
  <ns:item id="1">
    <ns:name>Formatter</ns:name>
  </ns:item>
</ns:catalog>

Key takeaway: Namespaces are useful when integrating XML from multiple providers.

Before writing imported payloads to a database, format and validate structure to catch malformed fields early.

{
  "importedAt": "2026-02-23T10:00:00Z",
  "records": [
    { "id": 1, "status": "ok" },
    { "id": 2, "status": "ok" }
  ]
}

Key takeaway: Formatted validation saves downstream cleanup and prevents data integrity issues.