Process JSON data online: format, minify, and validate to boost your development and debugging efficiency.

JSON to C# Class Converter
Automatically convert JSON data into C# class definitions, ideal for .NET developers building data models.

JSON to CSV & CSV to JSON Converter
Convert seamlessly between JSON arrays and CSV tabular data. Ideal for data analysis and software development.

JSON to YAML & YAML to JSON Converter
Bidirectionally convert between JSON and YAML structured data formats, with support for custom output styling.
When faced with messy, highly unreadable JSON strings from APIs, logs, or configuration files, how do you quickly understand their data structure? A JSON formatter tool is built exactly for this. It is a lightweight, browser-based processor that parses the input JSON string and rearranges its structure according to user-specified rules (such as indentation and key sorting), outputting clear and well-organized JSON text. JSON (JavaScript Object Notation) is a lightweight data-interchange format consisting of key-value pairs and arrays.
Q: What should I do if JSON formatting fails with an "Unexpected token" error?
This usually means the input string is not valid JSON. Please check: 1) Are all string values wrapped in double quotes? 2) Are key names using double quotes? 3) Are there any trailing commas (e.g., after the last element in an array)? 4) Are special characters (like newlines or quotes) properly escaped (using a backslash \)?
Q: How do I minify JSON?
To minify JSON, simply select "None" or "Minify" for the indentation in the configuration. The tool will remove all whitespace characters (spaces, newlines, tabs) and output the most compact single-line string, which is commonly used in network transmission to reduce data payload size.
Please ensure the input is a valid JSON string; otherwise, it cannot be parsed. This tool is primarily designed for small to medium-sized JSON text. For excessively large JSON files (e.g., over several megabytes), processing may be slow or cause lag due to browser memory limits. Formatting only changes the presentation of the data (spaces, newlines) and does not modify its data types or content values. The tool does not perform deep data validation (such as value ranges or business logic).
For front-end and back-end debugging or reading complex API responses, formatting is the first step. A typical use case: when receiving unformatted user data JSON from a server, such as {"users":[{"id":1,"name":"Alice","active":true},{"id":2,"name":"Bob","active":false}]}, formatting it with this tool (using 2-space indentation) allows you to clearly see the array structure and the properties of each user object, greatly facilitating data review and troubleshooting. We recommend developers format JSON to a unified style before writing it to configuration files or committing it to a code repository to maintain code cleanliness and maintainability.