Process, format, validate, and convert JSON data with our comprehensive suite of professional tools.
From formatting and validation to advanced conversions and code generation - all happening securely in your browser.
Perfect for developers, data analysts, and anyone working with JSON data structures.
Input your JSON data by pasting it into the textarea or loading a sample JSON file to get started quickly.
Choose your desired tool from the available options: formatter, validator, converter, diff, query, code generator, or schema tools.
Process your data instantly and copy, download, or use the results - all processing happens in real-time with immediate feedback.
Create a JSON Schema from your sample JSON data
Check if your JSON data conforms to a specific schema
Format minified JSON responses from APIs into readable format for debugging and documentation
Convert JSON configuration files to YAML for easier readability and editing
Convert JSON data to CSV format for importing into Excel or database systems
Convert modern JSON data to XML format for integration with older enterprise systems
Generate TypeScript interfaces from JSON objects for type-safe development
Format and validate JSON from API responses, generate TypeScript interfaces for frontend development, convert JSON to YAML for configuration files
Convert JSON datasets to CSV for analysis in Excel or data science tools, extract specific data using JSONPath queries
Validate JSON request/response formats, generate data models in multiple programming languages, create database schemas from JSON structures
Convert between JSON and YAML configuration files, validate configuration syntax, format complex configuration structures
Format API responses for documentation, compare expected vs actual JSON responses, generate test data structures
JSON (JavaScript Object Notation) is a lightweight, text-based data interchange format that's easy for humans to read and write, and easy for machines to parse and generate. It has become the standard format for web APIs, configuration files, and data exchange between systems.
JSON processing involves various operations: formatting to improve readability, validation to ensure syntax correctness, conversion to other formats for system compatibility, querying to extract specific data, and code generation to create type definitions and data models.
Our comprehensive JSON toolkit handles all these operations efficiently in your browser, providing professional-grade tools without compromising data privacy or requiring software installation.
Not validating JSON before using it in applications
Always use the JSON validator to ensure syntax correctness before processing or using JSON data in your applications
Using wrong indentation for specific programming languages
Use 2 spaces for YAML, 4 spaces for Python, and tabs or spaces based on your team's coding standards
Converting deeply nested JSON to CSV without planning
Consider flattening complex nested structures before conversion, or use JSONPath to extract specific nested data
Not handling special characters properly
Ensure special characters, Unicode text, and escape sequences are properly handled when converting between formats
Ignoring data types during conversion
Be aware that JSON to CSV conversion may lose type information - consider adding type hints or post-processing if needed
JSON is a lightweight data interchange format that's human-readable and machine-parseable. It's popular because it's simple, flexible, widely supported by programming languages, and works well with web APIs.
Yes! Use our JSON to CSV converter to transform JSON data into tabular format, which can then be easily imported into Excel or other spreadsheet applications.
JSONPath uses expressions like $.name for properties, $.users[0] for array items, and $.data.items[*].id for multiple values. It's similar to XPath for XML and allows precise data extraction.
We support TypeScript interfaces, Python dataclasses, Java POJOs, C# classes, and Go structs. All generated code follows language-specific best practices.
Absolutely! All JSON processing happens entirely in your browser using JavaScript. No data is sent to any server, ensuring complete privacy and security for your JSON data.
JSON Schema defines the structure, data types, and constraints for JSON documents. It's essential for API documentation, data validation, automated testing, and ensuring data consistency across systems.
Our tools handle large JSON files efficiently within browser memory limits. For very large files (>50MB), consider splitting them into smaller chunks or using desktop processing tools.
Yes! Use our JSON Diff tool to compare two JSON documents and see exactly what's been added, removed, or modified between them.
YAML is more human-readable with better support for comments and complex data structures, while JSON is more machine-readable and widely supported in APIs. Our converter handles both directions.
Common errors include missing quotes around keys, trailing commas, and incorrect escaping. Use our JSON validator to get detailed error messages with line and column information.