Clean a pasted list without losing its original meaning
Choose the change you need before cleaning the text. Removing repeated rows, deleting blank rows and joining lines solve different problems. For a keyword list, keeping the first occurrence may be useful; for a frequency log, repeated rows may be the data you need to preserve.
Remove duplicate lines while keeping the first occurrence
Suppose your campaign list contains three lines: spring launch, summer launch, spring launch. Duplicate-line removal returns spring launch followed by summer launch. It keeps the first occurrence in the original order; it does not sort the list alphabetically.
By default, comparison ignores leading and trailing whitespace and letter case. Alpha and alpha therefore count as the same entry. The first original line is preserved, so comparison that ignores surrounding whitespace is not the same as trimming the retained output. Use the case-sensitive option when capital letters distinguish your entries. URL paths and identifiers can be case-sensitive: decide the comparison rule before cleaning them.
Blank lines and extra spaces need different operations
Remove empty lines deletes rows with no content, including whitespace-only rows, while keeping repeated non-empty entries. Choose it when you want a compact list but still need repeated items. Duplicate-line removal is a different operation and changes repetition counts.
Trim whitespace removes each line’s leading and trailing whitespace and turns runs of two or more spaces or tabs into one space. Line breaks remain, but indentation and repeated tab separators can change. Avoid this operation when whitespace defines code structure or empty columns in a tab-separated table.
Handle copied PDF paragraphs in small sections
Text copied from a PDF may break at the end of every visual line. Joining the lines of one paragraph can help, but joining a whole page may mix headings, lists and separate paragraphs. Work with one coherent block at a time and compare it with the original.
Whitespace cleanup does not correct OCR mistakes or restore missing letters. A cleaner-looking result can still contain a zero where the original used the letter O. Tables also require a separate check of their row and column relationships.
Check the result before replacing your source
Keep the original until you have compared the first entry, last entry and a known duplicate in the result. If order matters, verify that the first occurrence appears where you expect. If repetition matters, remove blank lines rather than duplicate lines.
For a multi-step cleanup, inspect the result after each operation. That makes it easier to identify whether trimming, deduplication or joining caused an unexpected change. Copy the finished text only after the result matches your intended structure.
Continue with the task you need
- Repeated entries in a keyword list
Keep the first occurrence and original order. Remove duplicate lines
- Blank rows between useful entries
Keep repeated content and remove empty rows. Remove empty lines
- Accidental padding and repeated spaces
Clean spacing while keeping line breaks. Trim whitespace

