Format Atlas

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CSV vs JSON

CSV represents tabular records; JSON represents structured values such as objects and arrays. Choose based on the shape of the data and the receiving system.

Which format should you choose?

Use CSV for simple tables and spreadsheet workflows; use JSON for nested data or APIs that expect JSON.

Good fit for CSV

Tabular-data exchange

  • Transferring one simple table between applications

Good fit for JSON

Web APIs, configuration files, and data exchange

  • Transferring structured data

Basic information

FieldCSVJSON
Extension.csv.json
MIME typetext/csvapplication/json
Common usesTabular-data exchangeWeb APIs, configuration files, and data exchange
How to openWhen importing into a spreadsheet, set the character encoding and delimiter. Check that leading zeros, date-like values, and long numbers are not automatically converted.Open it in a text editor, IDE, or JSON-aware viewer.
Export or convertExporting XLSX to CSV normally writes values from only one selected sheet. Keep formulas, formatting, other sheets, and charts separately.Applications or conversion tools can convert it to formats such as CSV.

Choose by use case

Transferring one simple table between applications

Tabular-data exchange

CSV

Transferring structured data

Web APIs, configuration files, and data exchange

JSON

Key point 1

CSV is organized as records and fields and has limited support for nested structures or explicit types.

More on the differences

Key point 2

JSON represents objects, arrays, strings, numbers, booleans, and null.

More on the differences

More on the differences

Confirm the receiver's schema and parsing rules. Check CSV delimiter and character encoding, or JSON types and required fields; neither format alone defines your application's full data contract.

  • CSV is convenient for exchanging flat tables.
  • JSON can represent hierarchical data but may need an agreed schema for application meaning.

Frequently asked questions

Can CSV represent nested data like JSON?

Not naturally. CSV is designed around rows and fields; nested structures usually need conventions that both systems agree on or a different format such as JSON.

Can CSV store nested JSON objects directly?

Not in a standard tabular way; flattening or a defined mapping is needed and may lose structure.

Learn more

Related uses and checks

Choose a format for analytics and data exchange

References and specifications