Measure sentence count, words per sentence, shortest sentence, and longest sentence locally.
Counts run locally in your browser. When available, word, sentence, and grapheme segmentation uses the browser’s Unicode-aware Intl.Segmenter; fallback rules are used on older browsers.
Measure average and median sentence length, distribution, long-sentence share and outlier sentences with a copy-ready readability audit.
Start with the broad counter that matches the question, then move to focused frequency, reading-time or syllable analysis. Specialist readability, repetition and writing-goal tools remain available from the full hub.
The result distinguishes Unicode graphemes, code points, word/sentence boundaries, line endings or normalization where those details change the meaning of the count. Browser-local analysis stays live without treating approximate language heuristics as exact facts.
Use the tool first, then use these checks to interpret, verify and hand off the result without displacing the primary workflow.
Average sentence length changes when abbreviations, initials, decimal points, quotations, headings, and fragments are segmented differently. Record the counting rule you used and verify a short sample by hand before comparing two writers, drafts, or documents. A stable method matters more than chasing one universal target length.
Two passages can share the same average while one mixes very short and very long sentences and the other stays uniform. Review the long-sentence audit, shortest and longest examples, and the share above your chosen threshold so editing decisions reflect the shape of the prose rather than one summary number.
Shorter is not automatically clearer, and longer is not automatically sophisticated. Technical definitions, legal qualifications, narrative rhythm, and instructions have different needs. Use sentence length as a diagnostic signal, then verify clarity by checking referents, clause structure, transitions, and whether the intended reader can follow the argument.
If you change the word-count rule or sentence splitter between versions, the before-and-after difference may reflect measurement drift instead of writing improvement. Keep the same settings, preserve the original sample, and compare both absolute counts and representative sentences before attributing a change to editing.
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