The Sentence Counter inspects written prose to determine total sentence counts and average sentence length for writers, editors, and students auditing readability.

### Punctuation Tokenization & Sentence Counting Logic The analyzer processes text through regular expression boundary segmentation: - Sentence Boundary Detection: Splits input text on terminating punctuation marks (`/[.!?]+/`) and discards empty whitespace tokens: $$\text{Sentences} = \text{length}\left(s.\text{split}(/[.!?]+/).\text{filter}(\text{non-empty})\right)$$ - Word Tokenization: Splits normalized text on whitespace sequences (`/\s+/`): $$\text{Total Words} = \text{length}\left(s.\text{trim}().\text{split}(/\s+/)\right)$$ - Average Sentence Length: Evaluates mean words per sentence rounded to one decimal place: $$\text{Avg Words/Sentence} = \frac{\text{Total Words}}{\max(1, \text{Sentences})}$$

### Worked Diagnostic Example - Input Text Passage: "Clear technical writing avoids unnecessary filler. Punctuation establishes the natural breathing rhythm of the reader." - Evaluated Metrics: - Sentence Count: 2 distinct sentences (terminated by periods) - Total Word Count: 18 words - Average Words per Sentence: $18 / 2 = 9.0\text{ words/sentence}$

### 100% In-Browser Privacy Pasted manuscripts, legal agreements, academic drafts, and confidential emails never leave your device. All regex segmentation runs exclusively in local browser memory with zero network requests.