RJB World Tools

JSON to CSV Converter

Convert JSON arrays and objects into CSV with nested flattening, array controls, and fast browser-side preview and download options.

JSON Input

Paste JSON, upload a `.json` file, or drop one directly into the panel.

Drop a JSON file here

Or browse your files and start converting immediately.

JSON is ready to convert.Loaded example

Conversion Options

Customize the output for spreadsheets, reports, and data pipelines.

Delimiter in use: Comma

Examples

Load a sample JSON structure to see how it converts to CSV.

CSV Output

Copy the result or download a CSV file for Excel, Sheets, or your pipeline.

name,email,age
John,john@example.com,30
Jane,jane@example.com,28

Conversion Stats

Records2
Columns3
CSV size65 B
Processing time0.55 ms
Characters154

File Information

FilenameUser List
Input size154 B
Input typearray
HeadersIncluded
ExampleLoaded

Quick Actions

Use these shortcuts when you want to adjust the input fast.

How to convert JSON to CSV

Turn structured JSON into a clean CSV file in a few quick steps.

  1. Paste an array or object into the editor, or upload a `.json` file.
  2. Choose your delimiter, flattening behavior, and array handling.
  3. Convert, then copy or download the CSV output.

JSON vs CSV

When each format makes the most sense.

JSON is ideal for APIs and nested data. CSV is a better fit for spreadsheets, exports, and tools that expect flat rows and columns.

Nested JSON to CSV

Nested objects become dotted column names like address.city when flattening is enabled. Arrays can be preserved as JSON strings or joined into a single cell.

JSON to CSV for Excel and analysis

This output is easy to import into Excel, Google Sheets, BI tools, and reporting workflows that work best with tabular data.

Convert JSON to CSV online

This tool is built for quick exports, data cleanup, spreadsheet work, and API payload inspection. It keeps the workflow in your browser and avoids any server-side processing.

What this page covers

  • JSON arrays, single objects, and nested structures.
  • Flattening, array handling, and delimiter control.
  • Copy and download actions for fast exporting.
  • Examples and FAQs for common conversion cases.

FAQ

Does it work with nested data?

Yes. Enable flattening to create dotted CSV columns.

Can I use a semicolon delimiter?

Yes. You can choose comma, semicolon, tab, or pipe.

Will empty values be removed?

You can keep or skip them depending on your settings.