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Sentence Splitter & Text Segmenter

Turn paragraphs into line-by-line sentences with smart boundary detection

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Avg Words/Sent

Filter Sentences

Only extract sentences containing this word

Options

Sentence Preview

Extracted sentences will be listed here with word counts...

Common Abbreviations Handled

Mr. Mrs. Ms. Dr. Prof. vs. e.g. i.e. etc. Inc. Ltd. Jr. Sr. No. St. Ave.

These abbreviations won't trigger false sentence breaks

Why Smart Splitting Matters

Need to turn a block of text into a line-by-line list? Don't waste time hitting Enter after every period. Our sentence extractor intelligently splits your text, handling abbreviations and quotes correctly.

Beyond Simple Period Splitting

Basic tools split at every dot. Ours understands that"Dr. Smith" and"Dec. 25" aren't sentence endings. We use boundary detection to ensure clean results without false splits.

Who Uses This Tool?

Language learners isolate sentences for flashcards and translation practice. Data scientists prepare text corpora for NLP models. Social media managers break articles into tweet-sized pieces. Writers analyze sentence length patterns in their work.

Keyword Filtering

Enter a keyword to extract only relevant sentences from long documents. Perfect for research, finding specific quotes, or summarizing reports by topic.

For Developers

Basic sentence boundary regex (handles common cases):

text.split(/(?<=[.!?])\s+(?=[A-Z])/)

Splits after punctuation followed by space and capital letter. Our tool adds abbreviation handling.

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How does the tool distinguish between a period and an abbreviation? ▸
The extractor uses a list of common abbreviations (Mr., Dr., vs., e.g., etc.) and checks if the next word starts with lowercase. Periods followed by lowercase letters are treated as mid-sentence, not boundaries.
Can I extract only sentences containing a specific word? ▸
Yes. Use the keyword filter to output only sentences where that word appears. Perfect for summarizing long reports or finding specific mentions in large documents.
How do I convert a paragraph into a list of sentences? ▸
Paste your paragraph and click Extract. The tool identifies sentence boundaries (periods, question marks, exclamation points) and outputs each sentence on its own line.
Does this handle sentences inside quotation marks? ▸
Yes. The tool respects quotation marks and dialogue. A sentence like"Hello," he said. stays intact rather than splitting at the comma inside the quote.
What about decimal numbers like 3.14? ▸
Numbers with decimal points are recognized and preserved. The tool knows that"3.14" or"$99.99" are not sentence endings.
Can I number the extracted sentences? ▸
Yes. Enable"Number sentences" to add sequential numbering (1. 2. 3.) to each extracted sentence for easy reference or citation.