CSV vs JSON
CSV and JSON solve different shapes of data. CSV is a flat grid of rows and columns; JSON can nest arbitrarily deep. Convert between them with CSV to JSON and JSON to CSV.
| CSV | JSON | |
|---|---|---|
| Structure | Flat and tabular only, rows and columns, no nesting | Supports arbitrarily nested objects and arrays |
| Standard | No single universal standard in practice, delimiter, quoting, and escaping conventions vary between tools, though RFC 4180 documents a common convention. Our JSON to CSV tool follows RFC 4180-style quoting | One specification, RFC 8259 |
| Types | Everything is a string until the reader infers otherwise, a cell doesn't self-describe whether it's a number, boolean, or text | Self-describing types, numbers, strings, booleans, and null are distinct in the format itself |
| Compactness for tabular data | More compact for large, uniform tabular datasets, no repeated key names per row | Repeats key names for every object, which bloats file size for large uniform datasets |
| Tooling | Opens directly in Excel, Google Sheets, and other spreadsheet tools | Not spreadsheet-native; needs a parser or converter to view as a table |
| Best fit | Bulk exports, spreadsheets, and any dataset that's naturally one flat table | Hierarchical or API data, nested records, arrays of objects, mixed types |
Which one do I want?
If your data is one flat table (a spreadsheet export, a list of rows with the same columns) CSV is smaller
and opens directly in Excel or Sheets. If your data has nested structure, arrays within records, or mixed
types that need to stay distinguishable (a number vs. the string "123"), JSON is the better fit.
Converting a deeply nested JSON document to CSV usually means flattening or dropping structure first.
Related
CSV to JSON JSON to CSV ← All comparisons 