Is the keyword match case-sensitive?

No. Matching is case-insensitive, so a keyword like "apple" matches sentences containing "Apple", "APPLE", or "apple" alike.

Does the keyword need to be a whole word?

No, it's a substring match. A sentence containing "pineapple" would also be removed by the keyword "apple", since the match looks for the keyword anywhere in the sentence's text.

What happens if every sentence contains the keyword?

The tool reports an error rather than returning an empty result, since removing every sentence usually signals the keyword is too broad or the wrong one was entered.

Sentence Remover Online - Delete Sentences by Keyword

Overview

Introduction

Sometimes an entire sentence needs to go, not just a word, because it references something outdated, off-topic, or sensitive, and finding every such sentence by hand in a long passage is tedious.

This tool runs entirely client-side, so nothing you paste is ever uploaded to a server.

What Is Sentence Remover?

A sentence remover that splits text into sentences and filters out any sentence whose text contains a given keyword, case-insensitively, then rejoins the remaining sentences.

It's distinct from a word remover, which deletes individual word matches; this tool removes the entire sentence a match appears in.

How Sentence Remover Works

The tool matches sentence-ending punctuation followed by whitespace or end-of-string to split the input into an array of trimmed sentences.

It then keeps only the sentences whose lowercased text doesn't contain the lowercased keyword, and joins the survivors back together with single spaces.

When To Use Sentence Remover

Use it to strip out every sentence mentioning a discontinued product, an outdated date, or a name you want scrubbed from a document before sharing it.

It's a fast way to get the answer without opening a code editor, a REPL, or writing a one-off script just to check.

Often used alongside Sentence Duplicator, Word Remover and Find & Replace Tool.

Features

Advantages

Removes whole sentences in one pass instead of requiring manual scanning.
Case-insensitive substring matching catches variations in capitalization automatically.

Limitations

Sentence detection relies on `.`, `!`, and `?`; abbreviations or decimal numbers can be misread as sentence boundaries.
Substring matching means a keyword can match inside a longer, unrelated word.

Examples

Removing sentences containing a keyword

Input

This sentence is fine. This one mentions apple pie. Another normal sentence.

Output

This sentence is fine. Another normal sentence.

The sentence containing "apple" is dropped; the other two sentences are kept and rejoined.

Best Practices & Notes

Best Practices

Use a specific enough keyword to avoid accidentally matching unrelated sentences that happen to contain the same substring.
Review the result afterward for abbreviations that may have split sentences incorrectly.

Developer Notes

Sentences are matched with `/[^.!?]*[.!?]+(?=\s|$)|[^.!?]+$/g`, then filtered with `sentences.filter((s) => !s.toLowerCase().includes(keyword.toLowerCase()))` before being rejoined with single spaces.

Sentence Remover Use Cases

Scrubbing sentences that mention a specific name, product, or date from a document
Filtering out off-topic sentences before publishing a passage
Cleaning training or sample text of sentences containing a flagged term

Common Mistakes

Using a very short or common keyword that ends up matching far more sentences than intended.
Assuming this does whole-word matching; it's a substring match, so partial word matches count too.

Tips

Combine with a word remover tool if you only need to strip a term rather than an entire sentence.

Sentence Remover