Turning a column into a list for SQL, CSV and code
Practical ways to convert a stacked column of values into a comma separated list for SQL IN clauses, arrays and CSV rows without breaking the syntax.
Why a column needs flattening
Data often arrives as a column: a filtered spreadsheet range, a page of copied IDs, or a query result pasted line by line. Most code and query syntax, though, expects those values on one line separated by commas. Retyping them by hand is slow and error prone, especially past a dozen items. Splitting on the line breaks and rejoining with a delimiter does the whole conversion in a single step.
Building a SQL IN clause
A SQL IN clause needs each text value quoted and separated by commas, like WHERE id IN ('red', 'green', 'blue'). Paste your column, choose the comma and space delimiter, tick Wrap in quotes, and pick the single quote so the output matches SQL string literals. Numbers usually go unquoted, so leave the quote option off when your column holds integer keys. Always confirm the values themselves contain no stray quotes that could break the statement.
Feeding arrays and CSV rows
For a JavaScript or Python array, wrap in double quotes and join with comma and space to get "red", "green", "blue" ready to drop between brackets. For a single CSV row, choose the bare comma delimiter and skip quoting, unless a value itself contains a comma, in which case quoting keeps the fields intact. The tab delimiter is useful when you plan to paste the result straight back into a spreadsheet cell range.
Cleaning the input first
Real columns are rarely tidy. They carry trailing spaces from copy and paste, blank rows between groups, and sometimes a stray line at the end. Leaving Trim spaces and Remove blank lines on handles all three automatically, so the joined list has no empty entries or double delimiters. If you need the reverse later, the swap button turns a finished list back into a clean column for review.