JSON to CSV Converter
Convert between JSON and CSV formats with support for nested objects and custom delimiters
Paste your JSON array or objects here
Paste your CSV data here
Convert between JSON and CSV formats with support for nested objects and custom delimiters
JSON (JavaScript Object Notation) is a lightweight, text-based data format that is easy for humans to read and write, and easy for machines to parse and generate. It's widely used for data exchange between web applications, APIs, and databases. JSON supports various data types including objects, arrays, strings, numbers, booleans, and null values.
CSV (Comma-Separated Values) is a simple text format for storing tabular data. Each line represents a row, and values are separated by commas (or other delimiters). CSV is widely supported by spreadsheet applications like Excel, Google Sheets, and LibreOffice, making it ideal for data analysis and reporting.
Converting between JSON and CSV formats is essential for various data processing tasks:
This converter intelligently handles nested JSON objects by flattening them using dot notation. For example, a nested object like {"user": {"name": "John", "age": 30}} becomes columns named user.name and user.age in the CSV output. This preserves the hierarchical structure while making it compatible with spreadsheet formats.
When JSON contains arrays within objects, the converter handles them intelligently. Arrays of objects are expanded into multiple rows, while arrays of primitive values are converted to comma-separated strings in the CSV output.
Different regions and applications use different delimiters. This converter supports:
All conversions happen entirely in your browser using JavaScript. Your data is never sent to our servers, ensuring complete privacy and security. You can safely convert sensitive data without worrying about data breaches.
Yes, our JSON to CSV converter is completely free. There are no hidden fees, subscriptions, or limitations on the amount of data you can convert.
The converter supports JSON arrays of objects, single objects, and nested structures. It automatically detects the structure and converts it appropriately.
Yes! This converter supports bidirectional conversion. Use the "CSV to JSON" tab to convert CSV data back to JSON format.
Nested objects are flattened using dot notation. For example, {"user": {"name": "John"}} becomes a column named user.name.
Arrays of objects are expanded into multiple rows. Arrays of primitive values are converted to comma-separated strings in the CSV output.
Yes, you can choose between comma, semicolon, and tab delimiters. Select your preferred delimiter before conversion.
No, all processing happens locally in your browser. We don't store, upload, or access any of your data.
The converter will display an error message explaining what's wrong with your JSON. Common issues include missing quotes, trailing commas, or incorrect bracket placement.
Yes, the "Include Headers" option is enabled by default. Uncheck it if you want CSV output without header row.
Since conversion happens in your browser, the maximum file size depends on your available RAM. Most modern devices can handle files up to 50MB without issues.
Convert JSON responses from APIs into CSV format for analysis in Excel or Google Sheets. This is useful for data scientists and analysts who need to work with API data in spreadsheet applications.
Export database records as JSON and convert them to CSV for reporting and analysis. Many databases can export data as JSON, which can then be converted to CSV for further processing.
Move data between different systems by converting from one format to another. For example, migrate data from a JSON-based system to a CSV-based system.
Convert CSV data from spreadsheets into JSON format for use in web applications and APIs. This is useful when you have data in Excel that needs to be imported into a web application.
Use the converter as part of your data cleaning pipeline. Convert between formats to identify and fix data issues.
Array of Objects:
[
{"name": "John", "age": 30, "city": "New York"},
{"name": "Jane", "age": 25, "city": "Los Angeles"}
]Nested Objects:
[
{"user": {"name": "John", "age": 30}, "email": "john@example.com"},
{"user": {"name": "Jane", "age": 25}, "email": "jane@example.com"}
]Standard CSV:
name,age,city
John,30,New York
Jane,25,Los AngelesSemicolon Delimiter:
name;age;city
John;30;New York
Jane;25;Los Angeles