Nested JSON to CSV Converter Online

Nested JSON to CSV Converter

Flatten nested object properties into dot-separated CSV columns. Arrays are preserved as JSON text within a cell.


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How nested JSON is converted to CSV

Nested JSON stores related information inside child objects. This converter flattens those child properties into a single row of columns. For example, a nested customer.city property becomes a column named customer.city, making the data easier to filter in a spreadsheet.

Example nested JSON

[{"id":101,"customer":{"name":"Ayesha","city":"Lahore"},"total":1250},{"id":102,"customer":{"name":"Bilal","city":"Karachi"},"total":980}]

How arrays and missing fields are handled

Object properties are expanded using dot notation. Array values are preserved as JSON text in one cell instead of being split into multiple rows. If a record does not contain a field found in another record, the corresponding CSV cell is left blank.

Frequently asked questions

Will nested object values become separate columns?

Yes. Nested objects are flattened into dot-separated column names.

Are arrays expanded into extra rows?

No. Arrays are kept as JSON text in a single cell so their original grouping is retained.

Can I download the result?

Yes. After conversion, use Download CSV to save the flattened data.

Related Free JSON and Data Conversion Tools

Explore these related browser-based utilities to prepare, check, and convert structured data for your workflow.

Understand flattened columns and array values

Nested JSON often stores useful information several levels below the main record. Flattening converts paths such as profile.name or address.city into individual CSV column headings, making the values easier to filter and compare in a spreadsheet.

Flattening changes the shape of the data, so keep the original JSON if you need to rebuild the same nested structure later. Arrays are kept together as JSON text in a cell rather than expanded into extra rows. This avoids multiplying records, but it may mean you need a separate transformation for one-to-many data.

For best results, provide a JSON array of similar records and inspect the resulting column names before exporting. If the source contains inconsistent structures, some rows may have blank cells where a particular property is absent.

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