Guide
JSON vs CSV
JSON and CSV solve different problems. CSV is a flat table format for spreadsheets and imports. JSON preserves nesting, typed values, and richer object shape for APIs and application data.
The short version
Use CSV when every record has the same columns and the end user wants a sheet. Use JSON when the structure can vary, when objects contain nested arrays, or when another program needs the data exactly as sent.
Format tradeoffs
| Need | Better fit | Why |
|---|---|---|
| Spreadsheet editing | CSV | Columns map directly to cells and are easy to sort or filter. |
| Nested records | JSON | Nested objects and arrays stay intact instead of being flattened. |
| Legacy import | CSV | Older systems often expect delimited text and header rows. |
Common mistake
The usual failure mode is trying to force rich JSON into CSV without deciding what to do with arrays, nested objects, and inconsistent keys. That produces a file that looks tabular but is hard to trust.
Practical rule
Keep JSON as the source of truth and export CSV only when a spreadsheet or batch import needs it. That lets you preserve detail during editing and flatten only at the last useful step.