JSON to CSV Converter

JSON to CSV Converter

Convert JSON array to CSV with auto-header detection.

How to use

Runs entirely in your browser. Live updates or click to run. No signup, no tracking, no data sent anywhere.

Part of 71 free tools by Auburn AI. Category: Converters

About this tool

JSON to CSV Converter takes structured JSON data and transforms it into comma-separated values format, ready for spreadsheets, databases, or data pipelines. It handles nested objects and arrays with a reasonable degree of flattening, making it useful for developers, data analysts, and anyone who needs to move API response data into Excel or Google Sheets without writing a script.

Reach for this tool when you have a JSON payload from an API or config file and need it in tabular form fast. It saves you from spinning up a Python script or wrestling with manual formatting, especially when you are doing a one-off export or exploring data structure before committing to a full ETL process.

How to use it

  1. Paste your raw JSON data into the input field on the left side.
  2. Click the Convert button to process the JSON and generate CSV output.
  3. Review the generated CSV in the output panel to confirm column headers look correct.
  4. If results look off, check that your JSON is valid using a linter first.
  5. Click Copy or Download to grab the CSV file for use in your spreadsheet or tool.

Pro tips

  • For arrays of objects, ensure every object shares the same keys or missing fields will produce blank cells in certain columns.
  • Deeply nested JSON will flatten with dot notation keys like address.city, which you can rename after importing into your spreadsheet.

FAQ

What happens if my JSON has nested objects?
Nested objects are flattened using dot notation, so a field like user.email becomes its own column header. Deeply nested or inconsistent structures may require cleanup after conversion.
Can I convert a JSON array with mixed data types?
Yes, but columns will be created based on all unique keys found across objects. Objects missing certain keys will simply produce empty cells in those columns.

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