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JSON to CSV Converter

Convert JSON arrays of objects into CSV for spreadsheets or systems that expect flat tables.

Import File

Maximum file size: 5.00 MB | Accepted format: .json

Convert JSON arrays and objects to CSV format with robust quoting, customizable delimiters, and clean formatting. Transform structured JSON data into tabular CSV format suitable for spreadsheets, data analysis tools, and legacy systems. Supports nested objects, arrays, and handles edge cases like special characters and commas in values.

What is JSON to CSV Converter?

JSON to CSV conversion transforms structured JSON data (arrays of objects or nested objects) into flat, tabular CSV format. Each JSON object becomes a row, and object keys become column headers. This conversion is useful when you need to export JSON data to spreadsheet applications, import into systems that only accept CSV, or create reports from API responses.

Common Use Cases

  • Data export - convert API responses to CSV for spreadsheet analysis
  • Report generation - transform JSON data into CSV reports
  • Legacy system integration - convert JSON to CSV for older systems
  • Data analysis - export JSON data to Excel or Google Sheets
  • Database exports - convert JSON query results to CSV
  • Backup and archival - store JSON data in CSV format
  • Data sharing - convert JSON to CSV for non-technical users

How It Works

The JSON to CSV converter takes JSON input (typically an array of objects) and extracts all unique keys from the objects to create column headers. Each object in the array becomes a row, with values placed in columns corresponding to their keys. The converter handles special characters by properly quoting values, escapes commas and quotes within values, and flattens nested objects when possible. You can customize the delimiter (comma, semicolon, tab) and control how nested data is handled.

Examples

Array of objects to CSV

Input:
[{"name":"John","age":30},{"name":"Jane","age":25}]
Output:
name,age
John,30
Jane,25

Nested objects (flattened)

Input:
[{"user":{"name":"John"},"score":100}]
Output:
user.name,score
John,100

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