CSV vs JSON
CSV vs JSON compared — structure, nesting, size and tooling, plus free converters between CSV and JSON.
CSV is a flat, tabular format that spreadsheets and data tools love; JSON is a nested, typed format that code loves. CSV wins for rows-and-columns data; JSON wins when records have nested or varying structure.
CSV vs JSON at a glance
| CSV | JSON | |
|---|---|---|
| Structure | Flat table (rows × columns) | Nested objects & arrays |
| Types | Everything is text | Strings, numbers, bool, null |
| Size | Very compact | Larger (keys repeated) |
| Tooling | Excel, Sheets, pandas | APIs, JS, databases |
| Nesting | Not supported | First-class |
When to use CSV
Choose CSV for tabular data destined for spreadsheets or data analysis, and for the smallest possible export of flat records.
When to use JSON
Choose JSON when records nest, types matter, or the data feeds an API or application.
Tools for CSV & JSON
CSV to JSON Converter
Convert CSV (or TSV / pipe-separated) data to JSON. Auto-detects delimiter, RFC 4180 compliant.
Open toolJSON Formatter
Format, validate, and minify JSON online. Free, no signup — your data never leaves your browser.
Open toolJSON to CSV Converter
Convert a JSON array of objects to CSV. Optional dot-path flatten for nested data.
Open toolCSV to XML Converter
Convert CSV (or TSV / pipe-separated) data to XML. Configurable root and record element names. Header row becomes column tags.
Open toolCSV vs JSON
Should I store data as CSV or JSON?
Use CSV for flat, tabular data and spreadsheet workflows; use JSON when records are nested, typed, or consumed by code/APIs. For large flat datasets CSV is far smaller.
How do I convert CSV to JSON?
Use the CSV to JSON tool — it maps each row to an object keyed by the header row. The JSON to CSV tool reverses it for flat data.