CSV is a flat table, not a workbook
An Excel workbook can contain multiple sheets, formatting, charts, and richer cell behavior. CSV represents rows and columns in one flat table, so it cannot preserve every workbook feature.
Check which sheet you intend to export
If the file has multiple sheets, confirm which sheet the workflow exports or which source you intend to use. Exporting the wrong sheet can produce a technically valid file that is still useless for your task.
Pay attention to formulas and displayed values
For data exchange, the resulting value is often more important than how a formula looked inside Excel. Open the CSV and check key columns, numbers, and dates rather than assuming a completed download means the data is correct.
Test encoding with Arabic text
UTF-8 is the practical default for modern workflows. Test a sample containing both Arabic and English in the application that will consume the CSV so you can confirm characters and delimiters are interpreted correctly.
Test numbers, dates, leading zeros, and empty values
CSV does not carry the rich type definitions of a workbook, so receiving software may interpret dates, decimal separators, empty cells, or identifiers with leading zeros differently. Open the exported file in the application that will actually consume it and inspect sensitive columns such as account codes, dates, quantities, and currency before assuming that a technically valid CSV preserved the intended meaning.
Keep the workbook as the reference source
If the Excel file contains formulas, multiple sheets, charts, comments, or formatting that explains the data, do not let the CSV become the only copy. Treat CSV as an exchange format and retain the workbook for context and verification. This separation gives downstream systems a simple table while preserving a richer source that can resolve questions when a row or value later looks ambiguous.