JSON to CSV Converter

Flatten JSON arrays and nested objects into RFC 4180 compliant CSV spreadsheet rows using dot-notation column headers.

Category: File & Data

How to Use JSON to CSV Converter

  1. Paste a JSON array of objects (or a single JSON object) into the input box.
  2. Click Process to recursively flatten nested properties into dot-notation column headers.
  3. Review the generated RFC 4180 CSV spreadsheet output and column count.
  4. Copy the CSV text or download it to open in Microsoft Excel, Google Sheets, or Numbers.

Related File & Data Tools

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  • CSV Column Extractor & Filter

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  • CSV Data Cleaner & Sanitizer

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  • JSON Object Diff & Comparison

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Frequently Asked Questions

How does the JSON to CSV Converter flatten nested JSON objects?

When your JSON input contains nested objects (for example, '{"user": {"name": "Alice", "address": {"city": "Delhi"}}}'), our engine recursively flattens nested properties into dot-notation CSV column headers ('user.name', 'user.address.city') so no hierarchical data is lost or turned into '[object Object]'.

What happens if objects in a JSON array have different keys?

Instead of only inspecting the first object in the array, the converter scans every object in the JSON array to build a complete union of all column headers. Objects missing a particular key receive an empty cell for that column.

Can I convert a single JSON object as well as a JSON array of objects?

Yes. You can paste either a JSON array of objects ('[{...}, {...}]') or a single JSON object ('{...}'), which is automatically exported as a header row plus one CSV data row.

How are special characters like double quotes and commas escaped in the CSV output?

In accordance with RFC 4180, data values are enclosed in double quotes and any literal double quote character ('"') inside a value is escaped by doubling it ('""'), ensuring seamless compatibility with Microsoft Excel, Google Sheets, and SQL COPY imports.