Why “just split on commas” breaks real CSV files
A naive comma-split fails the moment a field contains a comma inside quotes (e.g. an address like "123 Main St, Apt 4"), an escaped quote, or a value spanning multiple lines. This converter follows RFC 4180 — the closest thing CSV has to a formal spec — so quoted fields, embedded commas, and escaped quotes are parsed correctly instead of silently corrupting your data.
Auto-detecting the separator
Not every “CSV” actually uses commas — exports from European spreadsheet software often use semicolons (since commas are the decimal separator there), and some systems export tab- or pipe-delimited files with a .csv extension anyway. The converter samples your pasted data and picks the most likely separator automatically, rather than forcing you to specify it up front.
Header row handling
With headers, each row becomes an object keyed by column name — the natural shape for JSON. Without a header row, the converter falls back to either an array of arrays or generic column1, column2 keys, which you can toggle depending on what your downstream code expects.
Why use UtilityApps for this
Parsing happens entirely in your browser — no signup, and your CSV data (which may contain sensitive rows) is never uploaded to a server.