Free JSON to CSV Converter Online

How JSON to CSV Conversion Works

JSON is how APIs talk. Spreadsheets are how the rest of a company works. This converter sits between the two: you paste an array of JSON objects and get back comma-separated rows that open straight in Excel, Google Sheets, LibreOffice Calc or Numbers. Developers use it to hand an API response to someone in finance without writing an export endpoint. Analysts use it to get event logs into a pivot table. Support teams use it to turn a list of affected account records into something they can filter and sort. The conversion is one direction and deliberately simple, which is why it takes a second rather than a sprint ticket and why no configuration is needed before you start. Mechanically, the converter does two passes over your data. The first pass walks every object in the array and collects the union of all keys, which becomes the header row. Collecting the union rather than reading only the first object matters, because real API responses often include optional fields on some records and not others. The second pass writes one line per object, looking up each header in turn and leaving the cell empty when a key is absent. Nested objects are flattened with dot notation, so a city inside an address becomes a single column called address.city. Any value containing a comma, a double quote or a line break is wrapped in quotes and its internal quotes are doubled, following the CSV convention, so columns never drift out of alignment. Take three order records. Each has an id, a customer name, a total, and an address object holding a city. The first two records also carry a coupon field; the third does not. Convert it and the header row reads id, customer, total, address.city, coupon. Row one might be 1041, Asha Nair, 2499, Pune, FIRST10. Row three is 1043, Meera Rao, 1899, Kochi and then nothing after the final comma, because that record had no coupon. If the second customer name were written as Rao, Ravi with a comma inside it, the cell is emitted in quotes so the spreadsheet reads it as one field instead of splitting the surname into its own column. That escaping rule is what separates a valid CSV from a broken one. Four situations where this saves real time. A backend developer copies a paginated API response out of the browser network tab and sends the product list to a merchandiser who only uses Sheets. A growth analyst exports a week of tracked signup events and builds a funnel chart the same afternoon rather than waiting on a data request. An operations lead converts a MongoDB query result into a sheet to reconcile it against an accounting export. A marketer preparing a mail merge turns a JSON list of subscribers into the exact columns the mail tool expects for its import. None of these require an ETL pipeline or a throwaway script that somebody then has to maintain forever. Two things to get right before converting. First, the input must be an array of objects, not a single object wrapped in a response envelope with metadata around it; strip the wrapper and pass just the array or you will get one row describing the envelope instead of your data. Second, and this is the caveat beginners miss, CSV is flat by definition. An array nested inside a record, such as a list of item names on an order, cannot become a proper column, so simplify or split that data before converting rather than expecting the grid to represent hierarchy. If Excel splits columns strangely on opening, check that your regional list separator is a comma rather than a semicolon. All conversion runs in your browser and nothing is uploaded.

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