文本去重/去空行Text Deduplicator
去除文本中的重复行和空行Remove duplicate lines and empty lines from text.
关于 文本去重/去空行About Text Deduplicator
整理名单、清洗日志、合并多份数据时，重复行与空行总是层出不穷。本工具一键去除文本中的重复行与空行，按首次出现顺序保留结果，快速把杂乱文本整理成干净列表。When merging rosters, cleaning logs or combining datasets, duplicate and empty lines are everywhere. This tool removes duplicate and blank lines in one click, keeping the first-occurrence order, and turns messy text into a clean list.
使用方法How to Use
- 将待清理的文本粘贴到输入区域。Paste the text to clean into the input area.
- 按需勾选去除重复行、去除空行等选项。Tick options such as removing duplicates and blank lines as needed.
- 点击处理，输出区域展示清理后的文本。Click process to see the cleaned text in the output area.
- 复制结果或继续后续处理。Copy the result or continue processing.
常见问题FAQ
去重后顺序会改变吗？Does deduplication change the order?
不会。默认按“首次出现”的顺序保留，仅移除后续重复的行，列表原有顺序不受影响。No. The first-occurrence order is preserved; only later duplicates are removed, leaving the original sequence intact.
很大的文本能处理吗？Can it handle very large text?
工具在浏览器内存中处理，数万行文本通常秒级完成；超大文件建议先拆分，或优先使用桌面工具。Processing happens in browser memory and tens of thousands of lines usually finish in seconds; for huge files, split them first or prefer desktop tools.
行尾空格会影响判重吗？Do trailing spaces affect deduplication?
默认按整行内容精确比较，行尾空格不同即视为不同行；如需忽略首尾空白，请留意页面上的修剪选项。By default lines are compared exactly, so differing trailing spaces count as different lines; use the trim option on the page if you want whitespace ignored.
相关阅读Related Reading
Diff 算法入门：LCS 与 Myers，以及代码评审中高效读 diff 的技巧Diff Algorithms 101: LCS and Myers, Plus Tricks for Reading Diffs in Code Review
`git diff` 每天都在用，但你知道它背后的算法吗？本文从最长公共子序列讲起，对比 LCS 与 Myers 的取舍，再给出代码评审中快速定位真实改动、忽略噪音的几个实用技巧You run `git diff` every day, but do you know the algorithm behind it? This article starts from the longest common subsequence, compares LCS versus Myers, and shares practical tricks for locating real changes and ignoring noise during code review.
中英文字数统计为什么对不上：字符、码点、Word 与编辑器的计数差异Why Chinese and English Word Counts Disagree: Characters, Code Points, Word vs Editor Counting
同一段文字，Word 说 320 字，编辑器说 412 字符，公众号后台又给了一个 356。这篇文章把"字数"背后的字符、码点、码元与分词规则讲清楚，让你再也不会被不同工具的数字搞晕The same paragraph: Word says 320 words, your editor says 412 characters, and the publishing backend reports 356. This article unpacks characters, code points, code units and tokenisation rules so you stop being confused by inconsistent counters.
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