JSON Formatter
Format, validate, and analyze JSON with professional tools and insights.
JSON Formatting Examples
Unformatted Input
{"name":"John","age":30,"city":"New York"}Pretty Output
{
"name": "John",
"age": 30,
"city": "New York"
}Additional Examples
Formatting Minified JSON
Input:
{"name":"Alice","age":30,"city":"New York"}
Output:
{
"name": "Alice",
"age": 30,
"city": "New York"
}Converts a compact, single-line JSON string into a human-readable format with indentation.
Validating and Formatting Complex JSON
Input:
[ { "id": 1, "items": [ "apple", "banana" ] }, { "id": 2, "active": true, "config": null } ]
Output:
[
{
"id": 1,
"items": [
"apple",
"banana"
]
},
{
"id": 2,
"active": true,
"config": null
}
]Formats nested arrays and objects with consistent indentation, handling different data types (number, string, boolean, null).
Detecting Syntax Errors
Input:
{
"name": "Bob",
"age": 40 // Missing comma
"isStudent": false
}The tool will identify the missing comma after the 'age' field and report a validation error.
Related guides
TOML vs YAML vs JSON: Choosing the Right Config Format
Why Rust and Python both settled on TOML, what each format actually gives you, and how to validate your Cargo.toml without guessing.
Validating JSON Against a Schema: A Practical Guide to JSON Schema
What JSON Schema guarantees, how draft-07 works, and how instance paths identify fields that are missing, malformed, or the wrong type.
JSON Lines (NDJSON): Streaming JSON for Logs, Pipelines and LLMs
What makes one-object-per-line files different from JSON arrays, when NDJSON shines, and how to work with it in any language.
XML to JSON: Converting Legacy Data for Modern APIs
Why the API world moved from XML/SOAP to JSON, the attribute-handling quirks that still trip converters up, and how to bridge the two formats safely in a client-side tool.
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