I'm not aware of any tool that does that, but it isn't hard to find the problematic lines, as these will have more delimiters in them than the number of columns. All other lines are trivially decodable and pose no problem, as the quotes are unnecessary there.

For the problematic lines, I would parse the complete line and aim for ," to start a quoted string and ", to end said string. I would also log all these problematic lines for later human inspection. You could also consider to ask a human about these problematic lines instead of spilling one interpretation into the DB.

In reply to Re: Recommendations for parsing invalid CSV by Corion
in thread Recommendations for parsing invalid CSV by markjugg

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