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Paste or drop; delimiter (comma, semicolon, tab, pipe) and header row are detected and can be overridden.
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Tabular data moves between spreadsheets, pandas and training code as CSV, JSON and JSONL. Drop or paste one and get the others, with the delimiter, quoting and header detected, numbers and booleans typed, and a preview of the first rows plus per-column type, null count and distinct count.
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Paste or drop; delimiter (comma, semicolon, tab, pipe) and header row are detected and can be overridden.
Types and null counts per column; rename or drop columns before converting.
JSON array, JSONL, or CSV with the chosen delimiter and quoting; nested JSON is flattened to dotted columns on the way to CSV.
Integers, floats, booleans and ISO dates are recognised; anything with leading zeros or mixed types stays a string. Turn inference off to keep everything as strings.
UTF-8 with or without BOM; Excel's semicolon convention in some locales is detected.
Streaming parse handles hundreds of megabytes; the preview shows 500 rows.
Save as CSV from Excel first; .xlsx parsing is not included.
Handled when the cell is quoted, as the CSV standard requires.
Convert to JSONL with text and label columns, then open it in the Text Classification Labeler.