What to validate in a CSV file
- Does every row have the same number of columns?
- Are quotes properly closed and escaped?
- Is the delimiter consistent across the file?
- Are there accidental blank rows or trailing delimiters?
Examples of CSV errors
id|name|plan 1|Alice|pro 2|Bob|basic| 3|"Carol|team
The second bad row has an extra trailing delimiter. The third row starts a quoted field that never closes, which will usually trigger a parser error on import.
Why format checking should happen before import
Once a broken CSV hits your import pipeline, the error message is often vague. It is faster to validate the file first, see the failing line numbers, and repair the structure before handing it to another tool.
Use CSVDoctor as the checker
CSVDoctor runs entirely in the browser and shows a preview table with highlighted issue rows. That makes it practical to validate sensitive CSV files without sending them to a server.