CSV vs JSON — Which Should You Use?

CSV and JSON are the two formats you'll move between most. CSV is a flat table (rows and columns, one record per line, right at home in a spreadsheet). JSON is a nested tree (objects and arrays, able to represent structure CSV simply can't. Neither is better; they're built for different jobs, and you'll often convert one into the other.

Use CSV when

  • Your data is flat and tabular: one record per row, a fixed set of columns.
  • It needs to open cleanly in Excel, Google Sheets, or a database import.
  • You're moving large, simple datasets where compact size and simplicity win.
  • You're exchanging data with non-technical tools that expect a spreadsheet.

Use JSON when

  • Your data is nested or hierarchical: objects inside objects, arrays of records.
  • It's going to or from an API, a web app, or a config file.
  • You need real types: numbers, booleans, and nulls, not just text.
  • Structure matters more than spreadsheet compatibility.

Side by side

CSVJSON
StructureFlat table (rows × columns)Nested tree (objects & arrays)
Represents nesting?No, a single levelYes, arbitrarily deep
Data typesAll text (types inferred)Native: string, number, boolean, null
SchemaHeader row defines the columnsSelf-describing, per object
Human-readableYes, especially in a spreadsheetYes, but verbose when nested
File sizeCompact for flat dataLarger (keys repeat per record)
Native homeSpreadsheets, databases, data toolsAPIs, config, web apps
Our toolCSV → JSON converterJSON → CSV converter
under the hood

Converting is lossy in one direction. JSON → CSV flattens nested structures. Arrays and objects become columns or serialized cells, so a round trip won't always restore the original. Convert CSV → JSON when you want to add structure; convert JSON → CSV when you want a flat table you can open anywhere.