JSON to CSV Converter

What is JSON to CSV Converter?

JSON to CSV Converter is a free online tool that transforms JSON data into comma-separated values (CSV) format. It flattens JSON objects and arrays into tabular data that can be opened in spreadsheet applications like Excel, Google Sheets, or imported into databases.

Why Would You Need to Convert JSON to CSV?

• Spreadsheet Analysis: Open JSON data in Excel or Google Sheets for analysis, sorting, and filtering
• Data Reporting: Create CSV exports for business reports and data sharing
• Database Import: Prepare JSON data for import into SQL databases and other systems
• Non-technical Users: Share JSON data with team members who prefer spreadsheet format
• Data Backup: Create universal backup format that any application can read

How to Convert JSON to CSV - Step by Step

1. Input Your JSON: Paste JSON array of objects or upload a JSON file
2. Configure Options: Set delimiter, header inclusion, and nested object handling
3. Click Convert: Press the convert button to generate CSV output
4. Download Result: Copy the CSV or download it as a .csv file

Key Features

• Automatic Header Generation: Creates column headers from JSON property names
• Nested Object Flattening: Handles nested structures by creating dot-notation column names
• Array Handling: Converts arrays within objects to comma-separated values or multiple rows
• Delimiter Options: Choose comma, semicolon, or tab as the CSV delimiter
• Quote Handling: Properly escapes values containing delimiters or quotes

Tips for Best Results

• JSON must be an array of objects with consistent structure for best CSV results
• Deeply nested JSON creates many columns - consider flattening your data structure first
• Use semicolon delimiter for European locales where comma is the decimal separator

Frequently Asked Questions

What JSON structure works best for CSV?

An array of flat objects with consistent keys works best. Each object becomes a row, and each key becomes a column. For example: [{"name": "John", "age": 30}, {"name": "Jane", "age": 25}]

How are nested objects handled?

Nested objects are flattened using dot notation. For example, {"user": {"name": "John"}} creates a column called "user.name". You can also choose to stringify nested objects as JSON.

What happens to arrays within objects?

Arrays can be handled in multiple ways: joined as comma-separated values in a single cell, expanded to multiple columns (array.0, array.1), or expanded to multiple rows. Choose based on your needs.