The tool keeps the first occurrence of each line and drops later repeats, so the relative order of unique lines stays the same as in your original text.
Deduplication means removing repeated entries while keeping one copy. For lines, it is useful for log excerpts, mailing lists, and any multiline data where repeats are noise.
Duplicates inflate storage, skew analytics, and confuse merges. Many ETL steps dedupe by key or by full row so downstream systems see one canonical record per entity.
Empty lines are treated like any other line. If you need to collapse only duplicates and keep a single blank between blocks, remove extra blank lines first using the clean text tool if needed.
Comparison is typically line-based as pasted. If invisible spaces differ, two lines may look identical but not match—use the clean text tool to normalize whitespace first.
This tool preserves original order among kept lines. Sorting first would change order; dedupe-only keeps the first-seen line wherever it appeared in the file.
Yes, if each logical row is one line. Multi-line CSV fields or wrapped code blocks may need different handling—split or normalize format before deduping line-by-line.
Usually comparison is exact: "Hello" and "hello" are different lines. If you need case-insensitive dedupe, normalize case in an editor or script first.
Diffs show what changed between versions; dedupe removes identical lines within one document. Use a diff tool when comparing two files, and dedupe when cleaning one list.
Retries, heartbeats, and noisy loggers repeat the same message. Deduplicating helps you spot distinct events when sharing snippets or building reports.