CSV vs XLSX: Which Should You Use for Your Data?
Short answer
CSV is plain text holding exactly one table, readable by every system ever built. XLSX is a real workbook with formulas, formatting, types and multiple sheets. Use CSV to move data between systems, XLSX when the data needs to do anything.
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The fundamental difference
A CSV file is text: rows separated by newlines, fields separated by commas. That is the entire specification, more or less, and it is why every database, programming language and spreadsheet on earth can read one.
An XLSX file is a ZIP archive of XML describing cells, their types, their formulas, their formatting, and the relationships between multiple sheets. It carries far more information, at the cost of being much harder to parse.
| CSV | XLSX | |
|---|---|---|
| Multiple sheets | No | Yes |
| Formulas | No | Yes |
| Formatting | No | Yes |
| Data types | None — everything is text | Preserved |
| File size | Very small | Larger |
| Universal support | Yes | Common but not universal |
| Human-readable | Yes, in any text editor | No |
Why CSV eats your leading zeros
CSV stores no type information. A product code written as 007 is just three characters, and any spreadsheet reading the file has to guess what they mean. It guesses 'number', and the leading zeros disappear.
The same mechanism turns long numbers into scientific notation, reformats dates according to whatever locale the application assumes, and occasionally converts gene names into dates — a problem serious enough that geneticists renamed several genes.
None of this is a bug in the converter. It is CSV working as specified, which is to say barely specified at all.
The separator is not always a comma
In locales where the comma is the decimal separator — much of continental Europe — spreadsheet software exports CSV using semicolons instead. The file is still called CSV.
A converter that assumes commas will read such a file as a single column. FileTools360 detects the delimiter by testing which candidate produces the most consistent column count across rows, which handles the common cases without asking.
- Moving data between systems → CSV
- Data with formulas, formatting or several sheets → XLSX
- Codes with leading zeros, or long numeric IDs → XLSX, or quote them carefully
- Handing data to a script or database → CSV or JSON