JSON Validator
Validate JSON data with detailed error reporting and syntax checking. Instantly identify formatting issues, syntax errors, and structural problems in your JSON files, API responses, and configuration data.
JSON Validator & Formatter
Validate, format, and beautify your JSON data including ChatGPT output style JSON with this powerful online tool. Fix syntax errors, properly indent your JSON, or minify it for production use. All processing happens in your browser for complete privacy.
Formatting Options
JSON Input
Validation Results
Using the JSON Validator & Formatter
- 1.Enter your JSON data in the input box, or use the "Upload" button to select a JSON file
- 2.Choose your preferred indentation size (2, 4, or 8 spaces) for formatting
- 3.Optionally enable "Validate while typing" for real-time validation feedback
- 4.Click "Validate & Format JSON" to check syntax and format your data
- 5.Copy the formatted result or fix any syntax errors reported
About JSON Validation & Formatting
JSON (JavaScript Object Notation) is a lightweight data-interchange format. It is easy for humans to read and write, and easy for machines to parse and generate. Proper JSON validation ensures your data follows correct syntax.
This tool is particularly useful when:
- You need to validate JSON data from APIs or configuration files
- You want to format and beautify minified JSON for better readability
- You're debugging JSON syntax errors in your applications
- You need to ensure JSON data will be parsed correctly by other systems
- You want to standardize JSON formatting across your development team
Comprehensive JSON Validation
JSON validation is crucial for ensuring data integrity in modern applications. Our JSON validator provides detailed error reporting, syntax checking, and structural analysis to help you identify and fix issues in your JSON data before they cause problems in production environments.
Invalid JSON can break APIs, crash applications, and cause data processing failures. Regular validation during development and data processing workflows helps maintain data quality and prevents costly errors in production systems.
Syntax Checking
Identifies parsing errors, missing brackets, and syntax issues
Error Location
Pinpoints exact line and character position of errors
Structure Analysis
Validates data types, nesting, and overall JSON structure
Common JSON Validation Scenarios
API Development
Validate API request and response payloads during development to ensure proper data exchange between client and server applications.
Configuration Files
Check JSON configuration files for applications, frameworks, and deployment scripts to prevent runtime configuration errors.
Data Import/Export
Validate JSON data before importing into databases or systems to ensure data integrity and prevent processing failures.
Quality Assurance
Include JSON validation in testing workflows to catch data format issues early in the development cycle.
Common JSON Errors
Missing Commas
Forgetting commas between object properties or array elements
{ "a": 1 "b": 2 }
Trailing Commas
Extra commas after the last element in objects or arrays
{ "a": 1, "b": 2, }
Unquoted Keys
Object keys must be quoted in valid JSON
{ key: "value" }
Single Quotes
JSON requires double quotes for strings
{ 'key': 'value' }
Frequently Asked Questions
What makes JSON invalid?
Common issues include missing quotes around strings, trailing commas, unmatched brackets, and incorrect data type formatting. Our validator identifies these issues with precise error locations.
Does the validator check data types?
Yes, the validator checks that values match expected JSON data types (strings, numbers, booleans, objects, arrays, null) and reports type mismatches.
Can I validate large JSON files?
The validator can handle reasonably large JSON files. For very large files, consider breaking them into smaller chunks for better performance and error isolation.
Does it validate JSON Schema compliance?
This tool focuses on JSON syntax validation. For JSON Schema validation (checking against specific data structure requirements), you would need additional schema validation tools.