JSON to CSV Converter

Convert JSON arrays to CSV rows instantly β€” download as a file, open in Excel or Google Sheets, all in your browser.

No Data Stored
100% Client-Side
Free Forever

JSON to CSV Converter

Convert JSON arrays to CSV format instantly. All conversion happens in your browser.

Converted CSV will appear here.

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Why use our JSON to CSV Converter?

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JSON Arrays to Rows

Converts JSON arrays of objects to clean CSV rows with auto-detected column headers from your JSON keys.

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Download as .csv

One-click download exports your converted data as a proper .csv file ready for Excel, Google Sheets, or any data tool.

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Fully Private

All conversion happens in your browser. Your data never leaves your device.

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Works Instantly

No login, no upload, no waiting. Paste JSON and get CSV output right away.

What is JSON to CSV Conversion?

Converting JSON to CSV transforms deeply nested, hierarchical data into a flat, tabular format. This is incredibly useful for importing web API data into spreadsheet applications like Microsoft Excel or Google Sheets.

How to Convert JSON

Paste an array of JSON objects into the editor. The tool will parse the keys to generate column headers and extract the values to generate the CSV rows. You can then download the resulting CSV file.

Frequently Asked Questions

What JSON structure works best for CSV conversion?

A JSON array of flat objects works best β€” each object becomes a row and each key becomes a column. For example: [{"name":"Alice","age":30},{"name":"Bob","age":25}].

Does it support nested JSON objects?

Nested objects are flattened or serialized as strings in the CSV output. For complex nested data, consider flattening your JSON first using a transformation step.

Can I open the output in Excel?

Yes. Download the .csv file and open it directly in Microsoft Excel, Google Sheets, or any spreadsheet application that supports CSV.

Is there a size limit?

There's no hard limit β€” but very large JSON datasets may slow down browser rendering. For best performance, process in batches if needed.

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