If this tool helped you, you can buy us a coffee ☕
Remove duplicate lines from text to quickly clean up lists, logs, keywords, and other data.
Enter text to start deduplication
Are you struggling with duplicate entries in large blocks of text pasted from logs, data exports, or user lists? This tool is designed to solve exactly that problem. It automatically identifies and removes identical lines in your text, keeping only the first occurrence of each line. The basic processing unit is a "line," which is a text fragment separated by a line break. Using a line-by-line comparison algorithm, it outputs a clean, duplicate-free text list that is ready for further analysis and use.
Q: How does the tool handle case sensitivity and spaces?
A: This tool performs an exact match. For example, "Apple" and "apple" are treated as different lines. Leading and trailing spaces are also included in the comparison, so " text" and "text" will not be deduplicated. If you need to ignore case or spaces, you must preprocess the text yourself before using the tool.
Q: Does deduplication work for multi-column data copied from Excel or Word?
A: Yes, but pay attention to the format. The tool uses "line breaks" as boundaries. Data copied from spreadsheets usually corresponds to one row per line (which may contain multiple columns separated by tabs). The tool will compare the entire row (including tabs and spaces) as a single unit. Therefore, just ensure your data is pasted in the "line" format you expect to be compared.
Please note that this tool processes data locally in your browser. Extremely large text (e.g., tens of thousands of lines) may cause the page to respond slowly or the browser to freeze. The processed results are only kept on the current page and will not be saved if you refresh or close the page, so please copy your results promptly. For text involving sensitive or private information, please use the tool in a trusted environment and ensure your own data security.
For scenarios like data analysis, SEO keyword organization, or log cleaning, we recommend performing basic format normalization first. For example, before deduplicating, you can use other tools to convert full-width characters to half-width or standardize line endings to ensure comparison accuracy. A typical use case is processing a list of scraped URLs: the input might contain identical URLs from multiple crawls. After deduplicating with this tool, you will get a unique set of URLs for subsequent requests. Here is an input example:https://example.com/page1
https://example.com/page2
https://example.com/page1
https://example.com/page3
The output will be:https://example.com/page1
https://example.com/page2
https://example.com/page3
