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Find and replace specific strings in your text online. Supports batch replacement, perfect for content editing, data cleaning, and document proofreading.
Enter source text to see replacement output
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Generate random decimals with a specified range, decimal places, and quantity. Ideal for data analysis, simulation experiments, and more.
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Generate random phone numbers by country, carrier, and prefix on demand for development, testing, and data simulation.
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When you need to batch edit documents, clean data, or uniformly correct content, manually finding and replacing items one by one is not only time-consuming but also prone to omissions. This tool uses a precise string-matching algorithm to replace all instances of your specified old string (find target) with a new string (replacement content) in the source text, outputting the results in real time. Text replacement is a fundamental string processing operation that uses a "string" consisting of one or more characters as the basic processing unit.
Q: Is the text replacement tool case-sensitive?
Yes, it is case-sensitive. For example, searching for "Apple" will not match "apple".
Q: How can I replace multiple different items at once?
This tool currently supports single-rule replacement per operation. If you need to replace multiple different items, please do it in steps: after completing the first replacement, use the result as the new "Before Processing" text, and then set the next replacement rule.
The replacement operation is global and will replace all exact matching strings, so please ensure your find content is correct. Leaving the "Replace with" target blank will act as a delete function. When processing extremely long text, the browser response may be slightly delayed, so please be patient. This tool processes plain text and does not retain any rich text formatting (such as bolding or colors).
For complex or pattern-based replacement needs (such as uniformly changing the "2023-01-01" format to "2023/01/01"), it is recommended to use this tool for basic verification first. In actual content cleaning, common application scenarios include: standardizing product model names (replacing "iPhone14" with "iPhone 14"), correcting typos (batch replacing "teh" with "the"), or formatting data (replacing a full-width separator "，" with a standard comma ","). A typical example is: inputting "User A, User B, User C", setting the find content to ",", and the replace target to ";", which outputs "User A; User B; User C".
