From rows to objects
The converter reads your header row and uses each column name as a key, then walks the remaining rows and builds one JSON object per row. Values that look like numbers become numbers, true and false become real booleans, and the output comes back as a formatted, indented JSON array ready to paste into code or feed to an API. A Web Worker does the parsing in a background thread, so even wide files with many columns won't freeze the tab.
A real parser, not string splitting
CSV looks trivial until a field contains a comma. A description like "Boots, leather, size 10" breaks any converter that splits lines on commas — which is exactly what many quick scripts and casual online tools do. This tool uses a proper CSV parser that understands quoting rules, so quoted fields, embedded commas, and escaped quotes all land in the right place. If a file exported from Excel has ever come out of a converter scrambled, that is usually the bug this avoids.
Private by design, built for batches
Spreadsheets are where the sensitive stuff lives — contact lists, payroll, sales figures — so where the parsing happens matters. Here it happens entirely on your computer: the browser reads the file, the worker converts it, and the JSON comes back without a single byte reaching a server. There is no account and nothing is retained after you close the tab. Need to convert a folder's worth of exports? Drop them all in and download the results together as a ZIP.