Keyword and tag cleanup
Combine research terms, tags, or labels, remove repeated words, and keep a stable source order for the final list.
Unique word list
Turn keywords, tags, or vocabulary into one clean unique word list. Choose which occurrence to keep and how the complete result should be separated.
Whole words are matched with explicit capitalization and Latin accent rules. Punctuation marks word boundaries and is not added to the output.
Ignore Latin accents
Treat café and cafe as the same word while preserving the retained spelling.
Apostrophes and hyphens stay inside words. Punctuation and emoji act as boundaries.
Paste text or open one supported local file.
CSV is read as plain text. This tool does not parse columns, quoted fields, or multiline records.
The preview may be shortened; Copy and Download always use the complete result.
Your unique words will appear here
Paste text, open a supported file, or try the example to create a result.
Use this removal workflow when each whole word is an item and you want one retained occurrence in a new output.
Combine research terms, tags, or labels, remove repeated words, and keep a stable source order for the final list.
Reduce collected vocabulary to one spelling per matched word before reviewing, teaching, or importing it elsewhere.
Create newline-, space-, comma-, or custom-separated output when line-level or record-level deduplication is not the task.
With capitalization and Latin accents ignored, and the first spelling retained, the generated list keeps the order of each first match.
Café, cafe, Apple, apple.
Banana, banana, mother-in-law.Café
Apple
banana
mother-in-lawPunctuation creates boundaries and is not copied into the generated word list.
Paste up to 1,000,000 characters or open one supported TXT, Markdown, or plain-text CSV file up to 1 MB.
Keep the first or last spelling, choose capitalization and Latin accent matching, then select the output separator.
Check the totals and repeated groups, then copy or download the complete result even when the on-page preview is shortened.
The settings change the generated list, not the source text in the input area.
Apostrophes and hyphens can stay inside words. Whitespace, punctuation, and emoji mark word boundaries.
The selected occurrence supplies the spelling shown in output, while retained words remain in stable source order.
Capitalization can be ignored independently. The accent option folds supported Latin diacritics without rewriting the retained spelling.
These boundaries keep the interactive browser workspace responsive and make the output behavior predictable.
Pasted text and supported file contents are read and processed in your browser. They are not uploaded to create the unique word list.
Production may collect limited page and workflow telemetry, but input, output, file names, file contents, and custom separators are not sent as Analytics fields.
Review the Privacy Policy for the complete telemetry and data-handling boundary.
No. It creates a separate unique word list. The source input remains available and unchanged in the input area.
Yes. Choose Keep the last spelling. The output uses that retained spelling and orders retained words by their positions in the source.
Only when Ignore Latin accents is enabled. Capitalization matching is controlled by a separate option.
No. CSV is read as plain text. Extract the intended column with a reviewed CSV-aware tool before using this word-list workflow.
Yes. Copy and Download use the complete generated list; only the interactive preview is shortened.
Related tools
Return to the main line, list, and file duplicate remover or move to the reciprocal word-level workflow.
Back to Remove Duplicates OnlineDuplicate-removal workflows
Each route uses the local processing engine with defaults and guidance for one clearly defined task.
Text and list dedupe
Choose matching, keep, sorting, and result-view rules for mixed text or list input.
Line dedupe
Treat each newline as one item, then remove, find, or count repeated lines.
List dedupe
Split one list by comma, tab, or another delimiter and keep stable item order.
TXT and local text files
Start with local TXT or plain-text files, process them in the browser, and download the result.
Unique word list
Turn keywords, tags, or vocabulary into one clean unique word list. Choose which occurrence to keep and how the complete result should be separated.
Whole words are matched with explicit capitalization and Latin accent rules. Punctuation marks word boundaries and is not added to the output.
Ignore Latin accents
Treat café and cafe as the same word while preserving the retained spelling.
Apostrophes and hyphens stay inside words. Punctuation and emoji act as boundaries.
Paste text or open one supported local file.
CSV is read as plain text. This tool does not parse columns, quoted fields, or multiline records.
The preview may be shortened; Copy and Download always use the complete result.
Your unique words will appear here
Paste text, open a supported file, or try the example to create a result.
Use this removal workflow when each whole word is an item and you want one retained occurrence in a new output.
Combine research terms, tags, or labels, remove repeated words, and keep a stable source order for the final list.
Reduce collected vocabulary to one spelling per matched word before reviewing, teaching, or importing it elsewhere.
Create newline-, space-, comma-, or custom-separated output when line-level or record-level deduplication is not the task.
With capitalization and Latin accents ignored, and the first spelling retained, the generated list keeps the order of each first match.
Café, cafe, Apple, apple.
Banana, banana, mother-in-law.Café
Apple
banana
mother-in-lawPunctuation creates boundaries and is not copied into the generated word list.
Paste up to 1,000,000 characters or open one supported TXT, Markdown, or plain-text CSV file up to 1 MB.
Keep the first or last spelling, choose capitalization and Latin accent matching, then select the output separator.
Check the totals and repeated groups, then copy or download the complete result even when the on-page preview is shortened.
The settings change the generated list, not the source text in the input area.
Apostrophes and hyphens can stay inside words. Whitespace, punctuation, and emoji mark word boundaries.
The selected occurrence supplies the spelling shown in output, while retained words remain in stable source order.
Capitalization can be ignored independently. The accent option folds supported Latin diacritics without rewriting the retained spelling.
These boundaries keep the interactive browser workspace responsive and make the output behavior predictable.
Pasted text and supported file contents are read and processed in your browser. They are not uploaded to create the unique word list.
Production may collect limited page and workflow telemetry, but input, output, file names, file contents, and custom separators are not sent as Analytics fields.
Review the Privacy Policy for the complete telemetry and data-handling boundary.
No. It creates a separate unique word list. The source input remains available and unchanged in the input area.
Yes. Choose Keep the last spelling. The output uses that retained spelling and orders retained words by their positions in the source.
Only when Ignore Latin accents is enabled. Capitalization matching is controlled by a separate option.
No. CSV is read as plain text. Extract the intended column with a reviewed CSV-aware tool before using this word-list workflow.
Yes. Copy and Download use the complete generated list; only the interactive preview is shortened.
Related tools
Return to the main line, list, and file duplicate remover or move to the reciprocal word-level workflow.
Back to Remove Duplicates OnlineDuplicate-removal workflows
Each route uses the local processing engine with defaults and guidance for one clearly defined task.
Text and list dedupe
Choose matching, keep, sorting, and result-view rules for mixed text or list input.
Line dedupe
Treat each newline as one item, then remove, find, or count repeated lines.
List dedupe
Split one list by comma, tab, or another delimiter and keep stable item order.
TXT and local text files
Start with local TXT or plain-text files, process them in the browser, and download the result.