Quotable Sentence Finder
Free, no signup. Find the sentences that can survive being lifted out of your page: direct, self-contained, specific answers with enough information density to cite.
| Signal | Working interpretation |
|---|---|
| Flesch Reading Ease | 60–70 is commonly considered plain English |
| Grade formulas | Use as audience estimates, not requirements |
| Quotability | A sentence-level writing heuristic; not a rank prediction |
Pasted content is analyzed in your browser. A URL is sent only to the protected fetch endpoint; paste content takes priority. After a successful URL check, only its domain is remembered locally.
Runs entirely in your browser — nothing you paste is uploaded or stored. Pasted text stays local; only an optional URL is fetched. Anonymous run-level outcome counters may be used for aggregate research; URLs, domains, IPs, and identifiers are never included, and no statistic is released below 100 runs.
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Local data
Saved targets, named lists, and recent check summaries remain only in this browser.
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How to use it
- Paste a page, article section, or HTML fragment.
- Select Find quotable sentences. Start with the word, sentence, audience, and readability summary.
- Review sentence scores and factor breakdowns, especially low self-containment, direct-answer, entity, or specificity factors.
- Revise the source for clarity and factual completeness, then rerun it. Do not optimize for the total at the expense of nuance.
Sample report Example data — engine calculation
The interactive canonical-tag example contains 48 words and three sentences. The current engine returns:
Readability for the full example is Flesch 39, Flesch–Kincaid grade 11.8, with the audience label “High-school to early college reader.” These are formula outputs, not quality verdicts.
What the results mean
Quotability is the weighted total of six visible factors. Density compares concrete-information cues with sentence length. The readability summary reports six established formulas and maps Flesch–Kincaid grade to a broad audience label. A high result identifies a review candidate; it cannot establish accuracy, originality, retrieval, or citation likelihood.
How it works
The extractor converts pasted text or HTML into content blocks, joins their text, and splits it into sentences. The scorer applies fixed weights: self-containment 25%, direct answer 25%, entity clarity 15%, structure 15%, specificity 10%, and lead position 10%. Separate readability formulas use local counts of words, sentences, syllables, letters, and polysyllabic words.
Features
- Sentence-level scores with every factor exposed.
- Information-density cue beside the composite score.
- Six readability formulas and a broad audience estimate.
- Plain text or HTML input, processed entirely in the browser.
Limitations
- Rules are English-oriented and can misread names, abbreviations, fragments, and specialized vocabulary.
- Specificity uses surface cues such as numbers and certain modifiers; it does not fact-check details.
- Entity clarity and direct-answer patterns are lexical, not semantic.
- No answer engine, retrieval system, ranking system, or citation corpus is tested.
Frequently asked questions
Does this measure a search engine score?
No. The scorer is a transparent writing heuristic. It highlights sentences that stand alone and carry useful detail; it does not predict a particular model, citation, or ranking.
Is pasted content uploaded?
No. This tool analyzes only the text or HTML you paste, entirely in your browser.
What raises the quotability score?
The fixed factors reward a self-contained subject, direct-answer language, a clear entity, useful sentence structure, concrete specificity, and appearing early in the supplied passage.
Why can two sentences receive the same score?
The factors use a few discrete values and fixed weights, so different sentences can land on the same total. Read the factor breakdown and sentence itself instead of treating rank order as precise.
What do the readability grades mean?
They are established formula outputs based on sentence length, word length, syllables, or letters. They are audience estimates, not requirements and not AI retrieval signals.
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حول الأداة
العثور ال مكتفٍ بذاته, محدد جمل واحد AI إجابة محرك يمكن quote, ثم افحص كامل readability درجات.
مجاني, من دون تسجيل. العثور ال جمل ذلك يمكن survive يكون lifted خارج من الخاص بك صفحة: مباشر, مكتفٍ بذاته, محدد إجابات مع كافٍ معلومات density إلى استشهد.
الميزات
- Sentence-level درجات مع كل عامل مكشوف.
- Information-density إشارة beside ال مركّب درجة.
- ستة readability صيغ و واحد واسع audience تقدير.
- عادي نص أو HTML إدخال, معالج بالكامل في ال متصفح.
كيفية العمل
ال extractor يحوّل ملصق نص أو HTML إلى محتوى يحظر, يدمج الخاص بهم نص, و تقسيمات إنه إلى جمل. ال مقيّم ينطبق ثابت أوزان: self-containment 25%, مباشر إجابة 25%, كيان clarity 15%, بنية 15%, specificity 10%, و مقدمة موضع 10%. منفصل readability صيغ استخدم محلي أعداد من كلمات, جمل, syllables, أحرف, و polysyllabic كلمات.
القيود
- قواعد هي English-oriented و يمكن misread أسماء, abbreviations, أجزاء, و specialized مفردات.
- Specificity يستخدم سطح إشارات مثل باعتباره أرقام و certain معدلات; إنه يفعل ليس fact-check تفاصيل.
- كيان clarity و direct-answer أنماط هي معجمي, ليس دلالي.
- لا إجابة محرك, الاسترجاع نظام, ترتيب نظام, أو citation مجموعة نصوص هو مُختبَر.
الأسئلة الشائعة
يفعل هذا قياس واحد بحث محرك درجة?
لا. ال مقيّم هو واحد شفاف كتابة استدلالي. إنه highlights جمل ذلك يقف بمفرده و يحمل مفيد تفصيل; إنه يفعل ليس يتنبأ واحد particular نموذج, citation, أو ترتيب.
هو ملصق محتوى مرفوع?
لا. هذا الأداة analyzes فقط ال نص أو HTML أنت لصق, بالكامل في الخاص بك متصفح.
ما raises ال quotability درجة?
ال ثابت factors reward واحد مكتفٍ بذاته موضوع, direct-answer لغة, واحد مسح كيان, مفيد جملة بنية, ملموس specificity, و ظاهر مبكر في ال مقدّم مقطع.
لماذا يمكن اثنان جمل receive ال نفس درجة?
ال factors استخدم واحد قليل discrete قيم و ثابت أوزان, لذلك مختلف جمل يمكن يصل على ال نفس إجمالي. اقرأ ال عامل breakdown و جملة نفسه بدلًا من معالجة ترتيب ترتيب باعتباره دقيق.
ما يفعل ال readability grades يعني?
هم هي محدد صيغة مخرجات مبني على على جملة طول, كلمة طول, syllables, أو أحرف. هم هي audience تقديرات, ليس متطلبات و ليس AI الاسترجاع إشارات.