PandaFileKit

CSV to Excel

Opens your CSV properly in Excel: numbers as numbers, header row frozen, columns sized.

CSV → XLSX

Sent to server: 0 B

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Requests that could carry data
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Engine downloads (code, models)
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Counted with the browser's Performance API during the last job. It sees every request the page makes, but not what is inside them, so anything that is not a static download is counted above.

To check yourself: open DevTools → Network, clear the list, run the tool, and inspect each request. None will contain your file. You can also switch to offline after the page loads; tools whose engine is already downloaded keep working.

Drop CSV file here

or paste, or choose a file

CSV → XLSX

Choose one CSV file. The first row is used as the header.

Open a CSV in Excel the right way

Double-clicking a CSV in Excel often mangles it: long numbers turn into 1.23E+15, leading zeros vanish, accented and non-Latin text becomes garbled, and everything lands in one column when the delimiter is a semicolon. CSV to Excel builds a proper .xlsx from the CSV so the data opens as intended.

  • Bank and card statement exports.
  • Contact lists and CRM exports.
  • Data downloaded from websites and apps.

Typed values and a ready-to-use sheet

The delimiter (comma, semicolon or tab) is detected automatically. Numbers and true/false values are stored as real numbers and booleans, so sorting, sums and formulas work straight away. The first row is bold and frozen, and columns are sized to their content. UTF-8 text in any script is kept.

Watch IDs and phone numbers

Values that look like numbers are stored as numbers, which drops leading zeros from things like PINs, ZIP codes or phone numbers. If those matter, check those columns. Dates stay as the text in the CSV.

CSV to Excel: questions

How do I convert CSV to Excel?

Add the CSV and press Convert to Excel. You get an .xlsx with numbers stored as numbers, a frozen header row and sized columns.

Why does my CSV look wrong when I open it in Excel directly?

Excel guesses the delimiter and encoding, which often breaks semicolon CSVs and non-English text. Converting to .xlsx first avoids the guessing.

Will leading zeros be kept?

Values that look like numbers become numbers, which drops leading zeros. Check columns like ZIP codes, PINs and phone numbers.

Is my data uploaded?

No. The file is converted in your browser.