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View CSV Data as a Table

Paste or open CSV — preview as sortable/filterable HTML, export as HTML, Markdown, JSON, or Excel. Auto-detect delimiter, column types, header row.

1
Paste or open CSV
Paste CSV data into the input box or click Select file to load a .csv / .tsv / .txt file.
2
Configure the table
Pick a delimiter (or leave on auto), toggle whether the first row is a header, add a caption, striped rows, line numbers, or a responsive wrapper.
3
Preview and sort
The table renders instantly with column type badges (text / number / date / boolean). Click any header to sort numerically or by date.
4
Export
Copy as HTML, Markdown, or JSON, or download as .html or Excel (.xls).
0 chars0 lines0 words

Paste CSV or upload a file to see the formatted table here.

Options
Delimiter

Frequently Asked Questions

What delimiters does it support?

Comma, semicolon, tab, and pipe. Auto-detect picks the separator with the most occurrences on the first line, ignoring any inside double quotes.

Can I turn off the header row?

Yes. Uncheck "First row is header" and every row is treated as data; columns are labeled Column 1, Column 2, and so on.

How does column type detection work?

After parsing, each column's values are scanned. If every non-empty value matches a number, ISO date / MM/DD/YYYY date, or boolean (true/false/yes/no), that type is shown in the header badge and used for numeric / chronological sorting.

Which file formats can I export?

HTML (with optional caption, striped rows, line numbers, responsive wrapper, custom CSS class, and minification), Markdown, JSON, and Excel (.xls, opens in Microsoft Excel, Google Sheets, and LibreOffice Calc).

Does it handle quoted values with commas inside?

Yes. Parsing follows the RFC 4180 quoting rules, so "Smith, John" stays in one cell and "" inside a quoted field becomes a literal quote.

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