📊 Free JSON to CSV Converter

Instructions
  • JSON must be an array of objects
  • All objects should have the same structure
  • Click "Convert to CSV" to download the file
  • CSV will use the first object's keys as headers

📊 What is a JSON to CSV Converter?

Convert JSON arrays to CSV files for Excel, Google Sheets, and data analysis! Instantly export your data for business intelligence, reporting, and more.


🚀 How to Use This Tool

  • Paste your JSON array into the editor.
  • Click "Convert to CSV" to export your data.
  • Download your CSV file instantly!

💡 Pro Tip: Use the format and paste buttons for a faster workflow!


JSON to CSV conversion example

Here's how the conversion works:

Input JSON:

[
  {
    "name": "John Doe",
    "age": 30,
    "city": "New York"
  },
  {
    "name": "Jane Smith", 
    "age": 25,
    "city": "Los Angeles"
  }
]

Output CSV:

name,age,city
John Doe,30,New York
Jane Smith,25,Los Angeles

Why use a JSON to CSV converter?

Converting JSON to CSV offers several advantages for data handling and analysis:

  • Spreadsheet compatibility: CSV files can be easily opened in Excel, Google Sheets, and other spreadsheet applications for data analysis and manipulation.
  • Data analysis: CSV format is ideal for statistical analysis, filtering, sorting, and creating charts and graphs.
  • Database import: Many database systems can easily import CSV files for bulk data operations.
  • Reporting: CSV files are commonly used for generating reports and sharing data with stakeholders who prefer spreadsheet formats.
  • Universal compatibility: CSV is a widely supported format that works across different platforms and applications.
  • Data migration: Useful for migrating data between different systems that use different data formats.

Best practices for JSON to CSV conversion

To ensure the best results when converting JSON to CSV:

  • Consistent structure: Ensure all objects in your JSON array have the same keys and structure.
  • Data types: Be aware that all values will be converted to strings in the CSV format.
  • Special characters: The converter automatically handles quotes, commas, and newlines in your data.
  • Large datasets: For very large datasets, consider processing in smaller chunks for better performance.
  • Data validation: Always verify your JSON is valid before conversion to avoid errors.