How do I convert JSON to CSV?

Paste a JSON array of objects and click Convert. The tool automatically extracts column headers from object keys and creates CSV rows. Nested objects are flattened using dot notation (e.g., address.city).

What JSON structure works best for CSV conversion?

An array of flat objects works best, like [{"name":"Alice","age":30},{"name":"Bob","age":25}]. Nested objects get flattened, and arrays within objects are joined with semicolons.

Can I open the CSV in Excel?

Yes. Click Download after converting and the .csv file can be opened directly in Excel, Google Sheets, LibreOffice Calc, or any spreadsheet application.

How are nested JSON objects handled in CSV?

Nested objects are flattened with dot notation. For example, {"user":{"name":"Alice"}} becomes a column named user.name. Deeply nested structures are fully expanded into individual columns.

JSON zu CSV

JSON-Arrays in CSV für Tabellenkalkulationen konvertieren

JSON-Eingabe

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CSV-Ausgabe

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Turn JSON arrays into spreadsheet-ready rows

JSON is great for APIs but most analysts, ops teams, and stakeholders work in spreadsheets. Converting an array of JSON objects to CSV produces a clean header row and one record per line — ready for Excel, Google Sheets, BI tools, or any data pipeline that speaks CSV.

Use the converter when you need to

Export an API response to a spreadsheet

Take an array of records from an endpoint or export and hand it to anyone who lives in Excel or Sheets.

Flatten nested data for analysts

Nested objects collapse to dot-notation columns so analysts can work with the data without writing code.

Prepare bulk imports for other systems

Many CRMs, marketing tools, and databases accept CSV uploads but not JSON — convert first to bulk-load records.

How to convert JSON to CSV quickly

1
Paste a JSON array of objects into the editor.
2
Click Convert to extract column headers from the keys and produce one CSV row per object.
3
Copy the CSV or download a .csv file for direct use in spreadsheets.

Keep going

Convert CSV back to JSON

Round-trip data when a downstream consumer expects JSON instead.

Render as an HTML table

Embed the same data in a web page or doc instead of a spreadsheet.

Clean up JSON first

Format the input payload to spot missing fields before converting.

Inspect the source data

Use tree or table view to verify the structure is uniform before bulk conversion.

Common JSON-to-CSV workflows

Share API data with non-developer teams

Export users, orders, or events from a debug session into a CSV your colleagues can sort and filter.

Bulk-import records into another tool

Convert API output into the CSV format your CRM, mailing list, or admin panel expects.

Snapshot data for reporting

Save weekly or monthly exports as CSV files so the numbers stay reproducible later.

Häufig gestellte Fragen

Füge ein JSON-Array aus Objekten ein und klicke auf „Convert“. Das Tool übernimmt die Spaltenüberschriften automatisch aus den Objekt-Keys und erzeugt CSV-Zeilen. Verschachtelte Objekte werden per Dot-Notation abgeflacht (z. B. address.city).

Am besten funktioniert ein Array aus flachen Objekten, z. B. [{"name":"Alice","age":30},{"name":"Bob","age":25}]. Verschachtelte Objekte werden abgeflacht, Arrays innerhalb von Objekten werden mit Semikolons zusammengeführt.

Ja. Klicke nach der Konvertierung auf „Download“. Die .csv-Datei kannst du direkt in Excel, Google Sheets, LibreOffice Calc oder jeder anderen Tabellenkalkulation öffnen.

Verschachtelte Objekte werden mit Dot-Notation abgeflacht. Beispiel: {"user":{"name":"Alice"}} wird zu einer Spalte user.name. Auch tief verschachtelte Strukturen werden vollständig in einzelne Spalten aufgelöst.