Convert JSON to CSV

Convert JSON to CSV online instantly. Free JSON to CSV converter for structured data, API responses & database exports. Secure, fast & easy to use.

Convert JSON to CSV
Click to upload or drag and drop a .json file
JSON Input
CSV Output
JSON Records: 0
CSV Columns: 0
Status: Ready

About Convert JSON to CSV Online tool

JSON (JavaScript Object Notation) is a lightweight data format, while CSV (Comma Separated Values) is a simple tabular format. This converter transforms JSON objects and arrays into CSV format, making it easier to work with spreadsheet applications and data analysis tools.

How to Use the Convert JSON to CSV Online tool

1

Input Your JSON

You can input your JSON data in three different ways:

  • Type or paste JSON directly into the input area
  • Upload a .json file using the file upload option
  • Use one of the example JSON structures provided

Tip: The tool supports drag and drop for file uploads.

2

Convert to CSV

Click the "Convert to CSV" button to transform your JSON data into CSV format.

The converter will:

  • Parse and validate your JSON data
  • Extract all object keys as CSV headers
  • Convert each JSON object to a CSV row
  • Handle nested objects and arrays appropriately
3

Review the Output

Check the CSV output to ensure it meets your requirements:

  • Verify all data has been converted correctly
  • Check for proper handling of special characters
  • Ensure nested objects are flattened appropriately

Note: Complex nested structures may require additional processing.

4

Download or Copy

Once satisfied with the conversion:

  • Copy the CSV to your clipboard
  • Download the CSV as a .csv file
  • Reset the tool to process another JSON

Pro Tip: Use the copy button to quickly transfer the CSV to spreadsheet applications.

5

Advanced Features

For advanced users:

  • Handles arrays of objects and single objects
  • Flattens nested objects using dot notation
  • Properly escapes special characters in CSV
  • Shows conversion statistics (records, columns)

Note: For very large datasets, consider processing in chunks.

6

Troubleshooting

If you encounter issues:

  • Ensure your JSON is properly formatted
  • Check for trailing commas or syntax errors
  • Verify that arrays contain consistent object structures
  • Use the reset button to clear all fields and start fresh

About the JSON to CSV Converter

JSON and CSV solve different problems. JSON stores data as nested objects and arrays — ideal for APIs and programs — while CSV is a flat grid of rows and columns that opens cleanly in Excel, Google Sheets or any database importer. This tool flattens an array of JSON objects into that grid: each object becomes a row, and every unique key across the data becomes a column header.

A worked example

Given [{"name":"Asha","age":29},{"name":"Ravi","age":34}], the converter reads the keys name and age, writes them as the header row, and lists each record beneath:

name age
Asha 29
Ravi 34

How missing keys and extra columns are handled

Real-world JSON is rarely uniform. If one object has a phone field and another does not, the converter still creates a phone column and simply leaves the missing cell blank, so no data is lost and every row stays aligned to the same headers. This “union of all keys” approach is what lets messy API exports become a tidy spreadsheet.

Nested objects and arrays

CSV has no concept of nesting, so a value like {"address":{"city":"Pune"}} can’t sit in one cell as-is. The usual conventions are to flatten it into a dotted column such as address.city, or to keep the nested value as a compact JSON string inside the cell. Knowing this in advance saves confusion when a column shows {...} — it means that field held structured data rather than a simple value.

Getting a clean import

Values containing commas, quotes or line breaks are wrapped in quotes so a spreadsheet reads them as a single field rather than splitting the row. When you open the file, choose UTF-8 encoding to keep accented characters and symbols intact. To reverse the process, use the CSV to JSON Converter; for pretty-printing or checking your source first, the JSON Formatter & Validator is the companion tool. Everything is processed in your browser, so private datasets never leave your machine.

Frequently Asked Questions

What JSON shape does this expect?

An array of objects works best — each object becomes a row and its keys become columns. A single object is treated as one row.

What happens if objects have different keys?

The converter collects every key across all objects into the header row and leaves cells blank where a record has no value for that column.

How are nested objects and arrays handled?

Since CSV is flat, nested values are commonly flattened into dotted columns (like address.city) or written as a JSON string inside the cell.

Will it open correctly in Excel?

Yes. Fields containing commas, quotes or newlines are quoted so rows stay aligned. Open with UTF-8 encoding to preserve special characters.

Is my data uploaded to a server?

No. The conversion runs entirely in your browser, so your JSON never leaves your device.