CSV to Excel

Why convert CSV to Excel with Tools Root

A CSV file carries data without any of a spreadsheet's formatting, formulas, or usability — fine for data exchange, less practical for actually working with the numbers. This free CSV to Excel converter turns a plain CSV into a real, properly formatted .xlsx workbook directly in the browser.

Real delimiter detection, not a blind comma assumption

Many real-world CSV files, particularly from European-locale software, use a semicolon rather than a comma as their actual separator. This tool detects the genuine delimiter in your file before parsing, avoiding the common failure mode where a semicolon-delimited file gets misread as a single unsplit column.

A free CSV to XLSX converter with usable formatting out of the box

Rather than a bare, minimally-formatted import, this automatically sizes columns to fit their actual content and preserves numeric values as real numbers, producing a workbook that's immediately usable rather than needing manual cleanup after opening — at no cost and with no file size limit.

Common use cases

Converting a data export from a database or web service into a proper Excel file, turning a CSV report into a spreadsheet ready for further formulas and analysis, converting a CSV-based data dump into a shareable Excel workbook for colleagues, preparing exported data for a workflow that specifically expects .xlsx rather than plain CSV, or converting a semicolon-delimited European CSV export into a correctly parsed spreadsheet.

Going the other direction

If you need to extract tabular data out of a PDF first before converting to Excel, PDF to Excel handles that extraction directly, skipping a separate CSV step entirely.

Why raw CSV often isn't the final destination for data

CSV is an excellent format for moving data between systems precisely because of its simplicity, but that same simplicity means it carries none of a spreadsheet's practical formatting, no column widths, no real number typing, no visual structure. Converting to Excel turns that raw data into something genuinely ready to work with, rather than requiring reformatting after every import.

Getting correctly parsed data from an unusual CSV export

A CSV file that uses an unexpected delimiter, or that came from software with different regional export conventions, is exactly the case where a naive comma-only parser would produce garbled, single-column output. Detecting the real delimiter before parsing is what keeps data from exports like these coming through correctly, with each value landing in its own proper column.