How to Convert CSV to Excel

What this does

A .csv is plain text, not an Excel file — Excel merely knows how to display it. Double-clicking lets Excel guess the delimiter and data types, which is where mangled umlauts, stripped leading zeros, and dates like 1/2 turning into February 1st come from. Importing through Data ▸ From Text/CSV (Power Query) shows a preview where you control the delimiter, encoding, and per-column types before anything is loaded. Keep the inputs visible and clearly labelled and the whole thing stays auditable — anyone who opens the file later, including you, can see at a glance exactly what feeds the result and change one assumption without hunting through the formula. For “convert csv to excel”, the reliable version is a short checking loop, not just the first command that appears to work. Run it on a deliberately small range first, watch how the affected cells change, and only then apply the same setup to the full sheet. When this is a ribbon command, the selection matters more than the button: confirm the range, apply the command, then spot-check the output before saving. That is what makes a data step that keeps your analysis trustworthy useful in real work: repeatable, auditable, and not dependent on memory or luck.

A worked example

A bank export orders.csv uses semicolons and contains the customer number 007. Double-clicked, Excel shows 7 in one column on some systems and everything-in-column-A on others. Imported via From Text/CSV with delimiter Semicolon and the customer column set to Text, it loads as 007 in its own column — then File ▸ Save As .xlsx makes it a real workbook. Almost every system exports CSV, and almost every recipient wants a clean spreadsheet. Controlling the import (or converting directly) prevents the classic silent data corruption: lost zeros, wrong dates, broken characters. A practical tip before you scale it up: build it once on a small block of test data, confirm the number against the tool on this page, and only then point it at your real sheet. That one habit catches almost every mistake while it is still cheap to fix, long before a wrong figure reaches a report or a colleague.

In Google Sheets

Google Sheets handles this almost identically to Excel. The formula syntax above is the same, and the menu lives under a slightly different label rather than a ribbon tab. Use the platform toggle at the top of the page to switch every keyboard shortcut between Windows and Mac, and expect at most cosmetic differences in naming. The aim was to get you unstuck fast and leave you a little more capable than a copy-paste would. The answer is at the top, the tool proves it, and the detail above shows why it holds — so the next time a colleague asks, you can answer without reaching for search. Treat “convert csv to excel” as a small building block rather than a chore. Once the inputs sit in their own cells and the formula reads from them, the same setup answers a dozen related questions with a tweak, and Excel keeps every dependent figure current as the data changes. The tool above is there so you can rehearse and verify before committing anything to a real workbook; the steps and worked example are there so the logic sticks. Get it right once and it stops costing you time — it starts saving it, every time the question comes back around.

Common mistakes

• Double-clicking the CSV and letting Excel guess the delimiter and types.
• Losing leading zeros because numeric-looking IDs were auto-typed as numbers.
• Broken ä/ö/ü because the file is UTF-8 but was read as ANSI — set File Origin to 65001: Unicode (UTF-8).
• Saving the imported data back as .csv and wondering where the formatting went — save as .xlsx.

Frequently asked questions