How the mapping works
The tool treats the first row of your sheet as a header and every row underneath as a record. Each record becomes a JSON object whose keys come from the header cells, and the sheet as a whole becomes one array — pretty-printed, so it stays readable in a code review or a diff. A sheet with columns name, email, and plan produces objects with exactly those three keys, which is the shape most APIs, ORMs, and test fixtures expect.
Where spreadsheets meet code
This conversion shows up constantly in development work: seeding a database from a sheet a colleague maintains, generating fixtures for tests, loading reference data into a script, or turning a product owner's pricing table into application config. Retyping that data invites errors, and pushing it through an online service means shipping potentially confidential business information to someone else's servers.
Parsed locally, in a background thread
Here the parsing is handled by SheetJS inside a Web Worker, so the workbook is read on your own hardware while the page stays responsive. Nothing from the workbook — not the rows, not even the filename — leaves your machine.
Queue a handful of workbooks and two convert side by side, with a ZIP download once they all finish. Workbooks past about 50 MB are declined before conversion starts, because the entire file has to fit in the browser's memory. There is no account to make, no usage cap, and no paywall between you and the download.