JSON to CSV
Convert JSON to CSV — API data into spreadsheet rows, instantly.
How to use JSON to CSV
- Paste a JSON array of objects — the standard shape from API list endpoints.
- Read the CSV output: keys as the header row, one line per object, proper escaping.
- Copy or save as .csv — it opens directly in Excel, Google Sheets or Numbers.
- For nested JSON, expect flattened columns or stringified cells — reshape upstream when the consumer needs cleaner columns.
What is JSON to CSV?
A JSON to CSV converter flattens an array of JSON objects into rows and columns: keys become the header row, each object becomes a data row, and the result opens directly in Excel or Google Sheets. [{"name":"Ada","age":36},{"name":"Alan","age":41}] becomes a two-row table with name and age columns.
It's the standard bridge between developer data and everyone else: APIs, logs and exports speak JSON; analysis, reporting and colleagues speak spreadsheet. The shape requirement is the one catch — CSV is flat, so the natural input is an array of similar objects; deeply nested structures must flatten or stringify into cells.
About the JSON to CSV
Paste a JSON array of objects and get CSV with headers derived from the keys — quoted and escaped correctly, ready to save or paste into a spreadsheet.
The conversions people run daily: an API's user/order/product list into Excel for someone who asked for "the data in a spreadsheet"; exported analytics or log records into a pivot table; a database dump in JSON into a CSV import for another system; survey or form results into analysis-ready rows. Objects with differing keys union their columns (missing values become empty cells), and commas or quotes inside values are escaped per the CSV rules — the fiddly part manual conversion always gets wrong.
Nested objects flatten by convention (a user.address.city path becomes a dotted column or a stringified cell). For the reverse direction — spreadsheets into JSON — the CSV to JSON converter mirrors the process.