Use JSON records as rows, flatten nested plain objects into dot-notation columns, and keep arrays or other complex values as explicit JSON text inside cells. Review the resulting columns before importing them into a spreadsheet or another system. Open JSON to CSV Converter.
JSON records become CSV rows and fields become columns
An array of JSON objects maps naturally to a CSV table: each object becomes a row and the union of object keys becomes the column set. A single object can become one row when a one-record export is needed.
Irregular records can produce empty cells when a field exists in some objects but not others. That is preferable to silently dropping the field because the CSV should make the shape difference visible.
Flatten nested objects without pretending CSV supports hierarchy
CSV has no native nested-object model. ConvertAnyFile flattens plain nested objects into dot-notation paths such as customer.address.city so the relationship remains understandable in a table.
Arrays and other complex values are stored as JSON text inside a cell rather than being exploded into unpredictable extra rows. The receiving application can then decide whether to parse that cell again.
If the hierarchy itself is important to the destination, keep the JSON source. A CSV copy is most useful for review, reporting and table-oriented imports.
Prepare the CSV for Excel or another spreadsheet
Spreadsheet tools care about encoding, delimiters and sometimes the presence of a UTF-8 BOM. Use plain UTF-8 by default and enable a BOM only when the destination benefits from it.
After opening the file, review long identifiers, dates and text that spreadsheet software may choose to reinterpret. The converter can preserve text in the file, but the spreadsheet application controls how a cell is displayed after import.
- Review column names before sharing the CSV.
- Check nested values that became dot-notation columns.
- Keep the JSON source if you may need the original hierarchy later.
Convert JSON to CSV locally and verify the table
Open the JSON to CSV converter, add valid UTF-8 JSON files and run the conversion in the browser worker. The original JSON remains unchanged on your device.
Inspect a representative CSV result before using a large batch in another system. Record count, column names and complex fields are the fastest checks for confirming that the table matches the intended workflow.
Common questions
Can nested JSON be converted to CSV?
Yes. Plain nested objects are flattened into dot-notation columns, while arrays and other complex values remain JSON text inside cells.
Can I open the result in Excel?
Yes. CSV is widely supported by spreadsheet software. Review encoding and how the spreadsheet interprets dates, long numbers and identifiers after import.
Does JSON to CSV preserve every JSON type?
CSV cells are text, so the table cannot preserve JSON types and hierarchy in the same native form. Keep the original JSON when those semantics matter.
Is my JSON uploaded for conversion?
No. Supported data conversion runs in a browser worker on the device using the site.