What a CSV debugger should reveal
A useful debugger should answer four questions quickly: what line broke, what kind of problem happened, how many columns the file is supposed to have, and whether the issue can be fixed automatically. That is the information CSVDoctor surfaces on the main tool page.
Examples of CSV errors
order_id,customer,notes 1001,Alice,"Delivered" 1002,Bob,"Backslash quote: \"late\"" 1003,Carla,"Missing close
The second bad row uses backslash-escaped quotes instead of CSV-style doubled quotes. The third row contains an unclosed quote, which often causes the parser to report the line as malformed.
Why preview highlights matter
Line-level issue lists are useful, but they get better when you can see the parsed row beside the error. A preview table makes column shifts obvious and helps confirm whether an automatic fix preserved the data the way you expected.
Use CSVDoctor as the debugger
Upload the file to CSVDoctor, inspect the highlighted rows, and review the issue report. That is enough for most import failures, and it keeps the whole debugging session local to the browser.