CSV to TypeScript conversion turns the columns of a CSV file into a typed interface describing one row of data. Each header becomes a property, and the converter infers the field type from the column values — a column of whole numbers becomes number, true/false becomes boolean, and anything else stays string. This gives you a ready-to-use type for loading CSV data into a typed codebase, instead of treating every field as a raw string.
CSV itself carries no type information — every cell is text. To produce a professional interface, this tool scans all rows of each column and picks the narrowest type that fits the whole column:
true or false (any case).Inference follows the same data-driven approach used by tools like quicktype, and the output follows the TypeScript interface syntax.
.ts file.Type a CSV import in a Node or front-end project, scaffold a row model for a data-loading script, generate fixtures for tests, or quickly understand the shape of an unfamiliar spreadsheet — all without uploading your data anywhere.
It detects types. The converter checks every value in a column and emits number or boolean when the whole column qualifies; otherwise the field is string.
One row. The interface describes a single record; in your code you would type the parsed CSV as an array of that interface (e.g. Row[]).
Mixed columns fall back to string, which is the safe, lossless choice — you can refine the type by hand afterwards.
No. Conversion runs entirely in your browser — your data never leaves your device.