JSON to CSV / CSV to JSON Converter

Convert structured JSON arrays into CSV rows or turn CSV data back into clean JSON.

About JSON and CSV Conversion

This converter helps developers move data between API-friendly JSON and spreadsheet-friendly CSV without leaving the browser. It is especially useful for importing exports, preparing reports, and testing integrations that expect a different format.

  • For JSON to CSV, paste an array of objects so each object becomes one row.
  • CSV input should include a header row for clean field names in JSON output.
  • Quoted CSV values are supported, so commas inside fields can still be converted safely.

About the JSON to CSV Converter

The JSON to CSV Converter changes an array of JSON objects into a comma-separated table, and converts CSV back into JSON. CSV opens directly in Excel, Google Sheets and almost every reporting tool, while JSON is what APIs and JavaScript apps expect. Converting between them is a daily task when you export data from an API for a spreadsheet, or when you need to load a spreadsheet into an application.

How to Use the JSON to CSV Converter

  1. Choose the direction: JSON → CSV or CSV → JSON.
  2. Paste your data. For JSON → CSV, use an array of objects such as [{"name":"Ali","city":"Karachi"}].
  3. Click Convert.
  4. Check the header row (CSV) or the property names (JSON) in the result.
  5. Copy the result, or paste it into a .csv file and open it in Excel or Google Sheets.

How the Conversion Works

When converting JSON to CSV, every object in the array becomes one row and every property name becomes a column header. If some objects have extra properties, those columns are still included and the missing cells are left empty. Values that contain commas, quotes or line breaks are wrapped in double quotes so the CSV stays valid. When converting CSV to JSON, the first row is treated as the header and each following row becomes an object.

Tips for Clean Results

CSV is a flat format, so deeply nested JSON objects do not map perfectly to columns. For best results, flatten nested data first (for example address.city instead of an address object). Make sure every row in your CSV has the same number of columns as the header. If Excel shows strange characters, save the file as UTF-8 CSV. Numbers with leading zeros, such as phone numbers or ZIP codes, may be trimmed by spreadsheets, so format those columns as text.

Typical Use Cases

Export API results for a manager who works in Excel, import a product list from a spreadsheet into a web app, prepare seed data for a database, share test fixtures with QA, or quickly compare records by sorting and filtering them in a spreadsheet.

Frequently Asked Questions

What JSON structure is supported?

An array of flat objects works best. A single object is treated as one row. Nested objects and arrays are written as text in a single cell.

Does it handle commas inside values?

Yes. Values that contain commas, quotes or new lines are quoted according to the CSV standard (RFC 4180).

Can I use a semicolon instead of a comma?

The converter produces standard comma-separated output. If your regional Excel settings expect semicolons, use Excel's Data → From Text/CSV import and choose comma as the delimiter.

Are data types preserved from CSV to JSON?

CSV stores everything as text, so values may come back as strings. Check numbers and booleans in the output if your application needs strict types.