Question 1

What JSON format does this tool accept?

Accepted Answer

This tool accepts JSON arrays of objects, where each object represents a row in the CSV output. For example: [{"name": "John", "age": 30}, {"name": "Jane", "age": 25}]. Each object's keys become the CSV column headers, and the values become the row data. The tool automatically handles objects with different keys by including all unique keys as columns.

Question 2

How are nested objects and arrays handled?

Accepted Answer

Nested objects and arrays are automatically converted to JSON strings in the CSV output. For example, if a field contains {"city": "NYC", "zip": "10001"}, it will appear as a JSON string in the CSV cell. This preserves all the data while maintaining CSV compatibility. You can further process these fields in your spreadsheet application if needed.

Question 3

What delimiter should I use?

Accepted Answer

Comma is the most common delimiter and works with most applications. Use semicolon if your data contains many commas or if you are in a region where comma is used as a decimal separator. Tab-separated values (TSV) are useful when importing into databases or when your data contains both commas and semicolons. Most spreadsheet applications can handle all three formats.

Question 4

Why would I exclude headers from the CSV?

Accepted Answer

Excluding headers is useful when appending data to an existing CSV file, when the receiving system expects raw data without a header row, or when you need to concatenate multiple CSV outputs. In most cases, you should include headers to make the data self-documenting and easier to work with in spreadsheet applications.

Question 5

Is my data secure when using this tool?

Accepted Answer

Yes, all JSON to CSV conversion happens entirely in your browser using JavaScript. Your data is never sent to any external server, ensuring complete privacy and security. You can safely convert sensitive data, API responses, or any confidential information without worry.

JSON to CSV Converter

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