What is a JSON Validator?
A JSON validator is a tool that checks if your JSON (JavaScript Object Notation) data is properly formatted according to the JSON specification. It identifies syntax errors like missing commas, mismatched brackets, unquoted keys, or trailing commas, and shows you exactly where the error occurs with line numbers and detailed error messages.
Our JSON validator not only validates your JSON but also formats it with proper indentation for readability and can minify it for production use. It calculates useful statistics like file size, line count, and nesting depth, helping you optimize your JSON data for APIs, configuration files, and data storage.
JSON Validator & Formatter
Common JSON Errors
- { name: "John" } // Keys not quoted
- { "name": 'John' } // Single quotes
- { "name": "John", } // Trailing comma
- { "age": 030 } // Leading zero
- { "name": "John" } // Keys quoted
- { "name": "John" } // Double quotes
- { "name": "John" } // No trailing comma
- { "age": 30 } // No leading zero
What is JSON?
JSON (JavaScript Object Notation) is a lightweight data format used for exchanging data between servers and web applications.
Common Uses
- • API responses
- • Configuration files
- • Data storage
- • Data exchange
Best Practices
- • Use double quotes
- • No trailing commas
- • Validate before use
- • Minify for production
When to Use a JSON Validator
- API Development: Validate API request and response payloads to ensure they conform to the expected JSON structure
- Configuration Files: Check configuration files for applications, build tools, and frameworks that use JSON format
- Data Import/Export: Verify JSON data before importing into databases or exporting to external systems
- Debugging: Find and fix syntax errors in JSON data that cause parsing failures in applications
- Learning JSON: Understand JSON syntax rules by testing examples and seeing what causes errors
- Code Review: Ensure JSON files in version control are properly formatted and error-free
- Data Transformation: Validate JSON before and after transformation operations to ensure data integrity
Sponsored Placement
Relevant advertisements will appear here to support our free tools.