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JSON to CSV Converter

Convert a JSON array of objects into a downloadable CSV file, ready to open in Excel or Google Sheets.

Runs entirely in your browser β€” your files are never uploaded to a server.

Last updated

This tool runs entirely in your browser. Your JSON data is never uploaded to our servers.

How It Works

1. Choose Your File

Drag & drop or select the file you want to work with.

2. Processed in Your Browser

Everything happens locally on your device β€” your file is never uploaded anywhere.

3. Download Your Result

Get your finished file instantly, ready to save or share.

About JSON to CSV Converter

Converting JSON data to CSV format matters when you need to open data in a spreadsheet application, since Excel and Google Sheets work natively with CSV/tabular data, not nested JSON structures.

This works most cleanly on JSON that’s already reasonably flat β€” an array of objects with similar fields. Deeply nested JSON (objects within objects) doesn’t map naturally to CSV’s flat row-and-column structure, since CSV has no native way to represent nesting.

Common use case: converting an API response into a spreadsheet for easier viewing, filtering, or sharing with someone who works in spreadsheets rather than raw data formats.

Frequently Asked Questions

How to convert JSON to CSV?

Paste a JSON array of objects into the box and click Convert to CSV. Keys become the header row and each object becomes one row. Copy the result, or use Download .csv, which saves a file called converted.csv.

How to convert JSON to CSV on Mac?

It works in any browser on macOS, including Safari and Chrome, with nothing to install. Paste your JSON, convert, then copy the output or download converted.csv from your browser's downloads. The CSV opens in Numbers, Excel or any text editor.

Can it convert nested JSON to CSV?

Not properly. It expects a flat array of objects and does not flatten nested data. A nested object ends up as the text [object Object] in its cell, and arrays are joined with commas. Flatten your JSON first for clean columns.

What happens when objects have different keys?

The header row uses every key found across all objects, in the order first seen. If an object lacks a key, that cell is left empty. Values containing commas, quotes or line breaks are wrapped in quotes so the CSV stays valid.