How it works
The Number Remover strips all numeric characters (0-9) from text, leaving only letters, spaces, and punctuation. It also has modes to remove only standalone numbers (not digits embedded in words), remove numbers with surrounding spaces, or extract and list all numbers found.
Digits appear in text for many reasons — timestamps, IDs, prices, version numbers, phone numbers embedded in contact lists — and sometimes you need the clean text without them. The Number Remover handles all cases quickly without the overhead of a spreadsheet.
How to use it: paste your text and numbers are removed instantly. Mode options: "Remove all digits" strips every 0-9 character, "Remove standalone numbers" only removes numbers surrounded by spaces or punctuation (leaving "H2O" intact while removing "42" or "2024"), and "Extract numbers" switches to output mode, listing all numbers found.
Common use cases: cleaning up copied text that contains timestamps or reference numbers before use in a new document, stripping version numbers from a change log before summarizing, removing price values from a product list, extracting all numeric values from a block of text for separate processing, and cleaning data exported from legacy systems that embed row IDs in text fields.
Frequently Asked Questions
- A number surrounded by whitespace or punctuation on both sides. '42' in 'There are 42 items' is standalone. '2' in 'H2O' is not standalone (it's embedded in a word).
- Yes, in 'Remove all digits' mode, all digit characters (0-9) are removed regardless of context. In 'Standalone numbers' mode, decimal numbers like '3.14' and negative numbers like '-42' are detected as standalone if surrounded by whitespace.
- Yes. Switch to 'Extract numbers' mode to output all detected numbers as a list — one per line. This is useful for pulling price values, counts, or IDs from unstructured text.
- Not by default. '1.5e10' is treated as alphanumeric. Enable 'Scientific notation' mode to also detect and handle this format.