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Àwọn Àwọn Àkọ́lé

Ìlò àìṣé àìṣé Àwọn ìṣàmúlò-ètò 581 Kò ní àmì-ìwé Kò ní àwọn ìṣàmúlò-ètò

Ń rọ́ọ̀nù nínú àwòrán rẹ̀ - kò si ohunkohun tí a fi ranṣẹ sí sáà. Ń kọ́ọ̀kan àwọn àwọn ààyè Flesch Reading Ease, Flesch-Kincaid Grade, Gunning Fog, SMOG, Automated Readability Index, atí Coleman-Liau. Àwọn àwọn

Flesch Ease

0-100 scale

Flesch Kincaid

grade level

Àwọn ààyè-iṣẹ́

grade level

SMOG

grade level

ARI

grade level

Coleman-Liau

grade level

Ìgbà ìtàn àwọn àyọkà

- Àwọn Àmì-àṣírí

Àwọn àwọn àgbèwọlé àwọn àmì-ìwé

Àwọn àmì-àṣírí àìdájú (3+ syl)

Àwọn Àkọ́lé

Ṣàfihàn ìtẹ̀wè láti wó ìṣàfarawé ìṣàmúlò-ètò.

Àwọn àwọn àgbéwọlé Àwọn àwọn àkọlé àìdájú

Fi àkọlé pamọ́ Àwọn Àkọ́lé Shorten

Ṣayẹwo ìṣàfihàn àkọlé láti inú AI ọ̀fẹ̀. Wá àwọn ìṣàfihàn ìpele àti ìṣàfihàn àwọn ìṣàmúlò-ètò.

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Ṣàfihàn àkọlé, láti fi fáìlì pamọ́, tàbí láti ṣàfihàn ohun tí o fẹ́. Àwọn iroyin kò ní àwọn ìṣàmúlò-ètò.

Tẹ̀ láti ṣẹ̀dà

AI wa n ṣe iṣẹ́ nínú àwọn ìṣàmúlò-ètò rẹ̀ nínú àwọn ìṣàmúlò-ètò tí o dara jù lọ.

Àwọn Àkọlé

Ṣàfikún, kọ́, tàbí fi pamọ́ sí àwọn ààtò rẹ. Àlàyé fún ìlò inú ẹni-kẹta àti fún iṣẹ́ ọ̀fẹ́.

Lo àtòjọ-ẹ̀yàn yìí láti inú API

Fi àwọn àtòjọ-ẹ̀yàn yìí pamọ́ láti inú ìṣàmúlò-ètò rẹ̀. Àwọn ààyè-iṣẹ́ REST tí a bá fẹ́, àwọn ìṣàmúlò-ètò toké, àwọn SDK àti àwọn ààyè-iṣẹ́ àwọn toké. Àwọn àwọn àwọn owó toké ní àwọn ìṣàmúlò-ètò wẹ́ẹ̀bù.

Àwọn Àkọsílẹ̀ Gba àwọn àyọkà API

curl -X POST https://api.free.ai/v1/chat/ \
  -H "Authorization: Bearer sk-free-..." \
  -H "Content-Type: application/json" \
  -d '{"model": "qwen7b", "messages": [{"role": "user", "content": "Summarize this: ..."}]}'

Àwọn Àṣẹ AI Fúnràn

Àwọn Àtòjọ-ẹ̀yàn Àkọ́lé

Àwọn Àkọ́lé

Àwọn Àmì-ìwé Àwọn Àmì-ìwé

Àwọn Ìṣàmúlò-ètò AI

Àwọn Àkọ́lé

Àwọn Àwọn Àkọ́lé - FAQ

Free.ai Readability Checker analyzes text and returns 6 standard readability scores: Flesch Reading Ease, Flesch-Kincaid Grade, Gunning Fog Index, SMOG Index, Automated Readability Index (ARI), and Coleman-Liau. Plus average sentence length, average syllables per word, complex-word count, and per-sentence difficulty highlighting. 100% browser-side - zero server calls, zero tokens used, text never leaves your device.

Hemingway Editor jẹ $19.99 ohun elo tabili kan-ọkan pẹlu awọn ẹgbẹ 4. Readable.com jẹ $4-$48/mo fun iwadi batch. WebFX ni ohun elo ọfẹ pẹlu Flesch + FK nikan. Grammarly Premium ($12/mo) fihan ibaraẹnisọrọ ni inu editor rẹ. Free.ai jẹ ọfẹ, ko si iforukọsilẹ, awọn ọkọ oju omi 6 awọn fọọmu ibaraẹnisọrọ (diẹ sii ju gbogbo awọn oludije lọ), ati pe o n ṣiṣẹ ni kikun ni oju-iwe ayelujara - ọrọ rẹ ko ni ipadabọ si sensọ. A tun ni asopọ si /text/simplifier/ wa fun awọn iforukọsilẹ ti tẹ-ọkan nigbati awọn itẹsiwaju jẹ giga pupọ.

Fómúlà kọ̀ọ̀kan náà gbá àwọn ààtò àwọn ààtò. Flesch Reading Ease (0-100, tí o gà ju = tí o rọrun ju) ní àwọn àwọn ààtò àìdá. Flesch-Kincaid Grade Level ní àwọn ile-iwe US-aládákọ́. Gunning Fog náà ń fi àwọn àmì-àṣírí àìdákọ́ (3+ siláwè). SMOG tí a kọ̀ fún àwọn àkọ́kọ́ ìṣòrò. ARI náà ń ló àwọn àmì-àṣírí àti àwọn siláwè. Coleman-Liau náà jẹ́ àkóónú. Àwọn àwọn fómúlà tí a tì fi pamọ́ nínú gbogbo àwọn ìpele-ìjáde 5 ní àwọn àwọn ààtò àìdákọ́ tí o pọ̀ jú - a fi hàn o nínú àwọn à

Four blind spots: (1) Vocabulary difficulty is approximated by syllables - a short-but-rare word ("quaff") scores easier than a long-but-common word ("application"), which is backwards. (2) Sentence complexity is not sentence length - a long clear sentence can score harder than a short confusing one. (3) Subject-matter difficulty is invisible to these formulas. (4) All formulas were calibrated on English prose - non-English scores are rough approximations.

Each weights different signals. Flesch-Kincaid and Gunning Fog usually agree within 1 grade for standard prose. SMOG tends to run 1-2 grades higher on technical text (it rewards complex-word reduction more heavily). ARI and Coleman-Liau use character count instead of syllables, so they score differently on very short or very long words. Average them for a robust estimate; trust agreement across 4+ formulas as a strong signal.

O da lori àwọn awáròyìn. Gbogbogbo àwọn aládúrò: ìpele 8 (àkọ́kọ́ àkọ́kọ́). Bọọ́lú àwọn ààyè àwọn àròyìn: ìpele 6-8. Àwọn iṣẹ́ aládúró / B2B: ìpele 9-12. Àkọ́kọ́/ìdárá: ìpéjọ́ 13+ (kóléji). Àwọn ìṣàmúlò-ètò àwọn àròyìn US gbàyé ìpele 7-8 fún àwọn àkọ́kọ́ àwọn aládúrò. Àwọn àwọn ìṣàmúlò-ètò (UK, Australia, US federal) fẹ́ ìpele 8 tabi àwọn ìpele àwọn aládúrò.

Computes a Flesch-Kincaid grade for each sentence individually, then highlights the top 20% hardest. Useful for spot-editing - rewrite the highlighted sentences to shorter/simpler versions and your overall score drops fast. Hemingway Editor's famous feature, now free and client-side.

O lè pà àkọ́lé tí kò jẹ́ Inu-ẹ̀yàn-Ìngẹ́lì pàtó àti àwọn àwọn ààtòjútó àwọn àwọn ààtòjútó, àwọn fómúlì tí a tíkárà fún Inu-ẹ̀yàn-Ìngẹ́lì láti jẹ́ pé àwọn ààtòjútó náà ní pàtó. Fún Spanish, fómúlì Fernández-Huerta náà jẹ́ ìṣàfarawé (kò ní pàtó níbẹ̀). Fún German, Amstad tàbí Wiener Sachtextformel. Fún àwọn àkọ́lé àwọn ìtàn-àti-a

Kò - gbogbo àwọn ààyè-iṣẹ́ náà tí n bọ̀ nínú àwá-ìwé rẹ. Kò si ohunkohun tí a fi ranṣẹ sí àwọn sáà. O lè ṣàyẹwo àwòrán yìí nínú táàbù Àtòjọ-ẹ̀yàn ààyè-iṣẹ́ rẹ: kò si àwọn ìtàn POST tí a fi pamọ́ láti fi àwọn ààyè-iṣẹ́ ìṣàfihàn àwọn ìṣàfihàn. Ó jẹ́ àwọn àkọ́lé àìdárà àti àwọn àkọ́lé àìdárà.

Kò. Kò ní àwọn tókènì, kò ní àwọn awáròyìn sáà. Kò nífẹ́, kò ní ìgbà lórí, kò ní ìgbà ìṣàfarawé.

We use a standard heuristic syllable counter (same approach as most readability libraries) that handles ~95% of English words correctly. Edge cases: silent E, compound words, proper nouns, loanwords. For research-grade accuracy you'd need a pronunciation dictionary (CMU or similar) - ours is good enough for practical use.

Àtòjọ-ẹ̀yàn náà ní ààyè-iṣẹ́-ọ̀nà - kò ní àwọn ààyè-iṣẹ́ ìparí iṣẹ́. Tí o bà fẹ́ ìṣàmúlò-ètò ìṣàfihàn ìṣàfihàn, àwọn àwọn ààyè-iṣẹ́ Python tí a lò "textstat" tí a fi àwọn ìṣàmúlò-ètò náà pamọ́. Àwọn àwọn àmì-ìwé JS wa ní àwọn ààyè-iṣẹ́ ojú-ìwé tí a bà fẹ́ láti fi pamọ́.

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Àwọn Àkọlé

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Àwọn Àṣẹ AI Fúnràn

Àwọn Àwọn Àkọ́lé - FAQ

Kini àwọn ààtò àwọn ìṣàmúlò-ètò Free.ai?

Bawo ni o ṣe le ṣe iyatọ si Hemingway, Readable, WebFX, ati Grammarly?

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