Mohloli oa ho bala

Ho sebelisa khoebo 581 models Ha ho na letšoao la metsi Ha ho hlokahale ho ngolisa
Mofuta:
+ GPT-5, Claude, Gemini
E sebetsa ka ho feletseng ka mosebedisi oa hau - ha ho na ntho e romelloang ho seva. E etsa lipalo tsa Flesch Reading Ease, Flesch-Kincaid Grade, Gunning Fog, SMOG, Automatic Readability Index, le Coleman-Liau. Ka qeto e le 'ngoe e bonts'a qeto e thata ka ho fetisisa.
0 li-characters · 0 mantsoe
100% ka lehlakoreng la motsamaisi oa litlhaku. Ha ho na tokens e sebelisoang. Ha ho na ho ngola server.
Flesch Ease
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0-100 scale
Flesch-Kincaid
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grade level
Mollo o mofubelu o mofubelu
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grade level
Smog
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grade level
ARI
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grade level
Coleman-Liau
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grade level
Bophahamo ba mantsoe a kahare
- mantsoe
Boholo ba li-syllables / mantsoe
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Li-word tse thata (3+ syl)
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Sehlooho
Qala ho ngola ho bona ho bala ho hlahlojoa.
Boiteko ba ho ngola Litlhaloso tse thata li hlahlojoa
Likhetho tse tsoetseng pele
Phello
Tokens e tlase. Fumana Token e eketsehileng
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Ho ngolisa

Ho sebetsana le kopo ea hau...

Qetellong, hlahloba ho bala ha mongolo ka AI e mahala. Fumana boemo ba lipalo le litlhahiso tsa ho ntlafatsa.

Ho sebelisa Mohloli oa ho bala

1
Tobetsa ho kenya

Tlatsa mongolo, kenya faele, kapa hlalosa seo u se batlang. Ha ho hlokahale ak'haonte.

2
Tobetsa ho theha

AI ea rona e sebetsana le kopo ea hau ka metsotsoana e seng mekae ka ho sebelisa li-models tse ntlehali tsa open-source.

3
Tlosa & arolelana

Kopitsa, kenya kapa arolelana sephetho sa hau. Haholo-holo bakeng sa ho sebelisana le batho ba bang le ho rekisa.

Senya sesebelisoa sena ka API

Automatize ena sesebelisoa ho tloha ho hao code. OpenAI-ka lumellanang REST endpoint, Bearer-token auth, ha ho hlokahale SDK e eketsehileng. Token theko e lumellana le web interface.

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: ..."}]}'

Mohloli oa ho bala - FAQ

Free.ai Readability Checker e hlahloba mongolo'me e khutlisa liphetho tsa ho bala tse tloaelehileng tsa 6: Flesch Reading Ease, Flesch-Kincaid Grade, Gunning Fog Index, SMOG Index, Automated Readability Index (ARI), le Coleman-Liau. Ho feta moo, bole ba hlooho ea kahare, li-syllabes tsa kahare ka mantsoe, ho bala mantsoe a thata, le ho bonts'a mathata ka mantsoe ka bobeli. 100% browser-side - zero server calls, zero tokens used, text never leaves your device.

Hemingway Editor ke $ 19.99 desktop app e le 'ngoe le lihlopha tsa 4. Readable.com ke $ 4- $ 48 / mo bakeng sa ho hlahloba batch. WebFX e na le sesebelisoa se mahala le Flesch + FK feela. Grammarly Premium ($ 12 / mo) e bonts'a ho bala ka har'a moqapi oa eona. Free.ai ke mahala ka ho felletseng, ho ngolisa zero, ho tsamaisa li-formula tsa ho bala 6 (ho feta bafani ba litšebeletso tsohle), le ho sebetsa ka ho felletseng ka har'a mosebelisi - mongolo oa hau ha o so ka o hlasela sethala. Re boetse re hokahanya le rona /text/simplifier/ bakeng sa ho ngola ha ho tobetsa ha sehlooho ha sephetho se le phahameng haholo.

Li-formula tsohle li na le li-signal tse fapaneng. Flesch Reading Ease (0-100, e phahameng = e bonolo) ke ea khale bakeng sa litaba tse tloaelehileng. Flesch-Kincaid Grade Level e lekola liithuti tsa US. Gunning Fog e fana ka mantsoe a thata (li-syllables tse 3+). SMOG e entsoe bakeng sa lingoloa tsa meriana. ARI e sebelisa ho bala li-character e le hore e sebelise li-syllables. Coleman-Liau e ts'oana. Mocheso oa li-formula tsohle tsa 5 tsa boemo ba li-grade ke lipalo tse matla ka ho fetisisa - re e bonts'a ka ho hlaka.

Li-blind spots tse tharo: (1) Bohlokoa ba mantsoe bo ka tlalehoa ka li-syllabs - mantsoe a makhuts'oane empa a sa tloaelehang ("quaff") a fumana li-score tse bonolo ho feta mantsoe a maholo empa a tloaelehileng ("application"), a leng morao. (2) Bohlokoa ba mantsoe ha bo na bophahamo ba mantsoe - mantsoe a maholo a hlakileng a ka fumana li-score tse thata ho feta tse khuts'oane tse tšosang. (3) Bohlokoa ba mantsoe a sehlooho ha bo bonesehe ho li-formula. (4) Li-formula tsohle li ne li ka tlalehoa ka puo ea Senyesemane - li-score tse sa kang tsa sehlooho sa Senyesemane li ka tlalehoa ka ho hlaka.

E 'ngoe le e' ngoe e na le li-signal tse fapaneng. Flesch-Kincaid le Gunning Fog ba ka rata ho lumellana ka har'a mokhahlelo oa 1 bakeng sa lipale tse tloaelehileng. SMOG e ka rata ho sebetsa ka li-grade tse 1-2 tse phahameng ho lingoloa tse sebetsang (e fana ka li-reduction tse thata tsa mantsoe a thata). ARI le Coleman-Liau li sebelisa ho bala li-character eseng li-syllabs, ka hona li fumana li-scores tse fapaneng ka mantsoe a makhuts'oane kapa a maholo. Li-averages tsa tsona bakeng sa lipalo tse matla; tšepahala ho lumellana ka li-formula tse 4+ e le li-signal tse matla.

Ho itšetlehile ka babali. Batho ba ka kakaretso: 8th grade (libuka tsa litaba). Mass-market blog kapa ho reka litaba: 6th-8th. Professional khoebo / B2B: 9th-12th. Academic / technical: 13th + (college). US regulatory guidelines recommends 7th-8th grade for public-facing documents. Plain-language laws (UK, Australia, US federal) require 8th grade or below.

E ngola moputso oa Flesch-Kincaid bakeng sa tlhaloso e ngoe le e ngoe ka bomong, ebe e bonts'a 20% e thata ka ho fetisisa. E loketse ho hlophisa - ho ngola tlhaloso e bonts'itsoeng ho li-version tse khuts'oane / tse bonolo'me moputso oa hau o tla fokotseha ka potlako. Moqapi oa Hemingway o tsebahalang, hona joale o mahala le ka lehlakoreng la mosebelisi.

U ka kenya mongolo o sa kang oa le Senyesemane'me u be le liphetho, empa li-formula li ne li ka ntlafatsoa ka Senyesemane ka hona liphetho li lokela ho nkoa e le li-approximations. Ho Spanish, formula ea Fernández-Huerta e tla ba e nepahetseng haholo (e sa phetheloe mona). Ho German, Amstad kapa Wiener Sachtextformel. Ho litokomane tse nang le lipuo tse fapaneng, tlohela li-chunks tsa lipuo tse le' ngoe'me u li arolelane ka ho le 'ngoe.

Ha ho joalo - tsohle li sebetsa ka har'a sebatli sa hau. Ha ho na ntho e ka romelloang ho sebatli sefe kapa sefe. U ka etsa bonnete ba sena ka tab ea Network ea sebatli sa hau: ha ho na kopo ea POST e tla buloa ha u sebelisa mohlophisi oa ho bala. E loketse ho ngola ka boinotšing kapa ka molao.

Ha ho joalo. Zero tokens, zero server calls. Free ka ho feletseng, ha ho na tšebeliso ea cap, ha ho hlokahale ho ngolisoa.

Re sebelisa mohlophisi oa li-syllable tse tloaelehileng tsa heuristic (ho phethela ka tsela e ts'oanang le likamore tsa ho bala tse ngata) tse etsang hore ~95% ea mantsoe a Senyesemane a be ka nepo. Liketsahalo tsa Edge: E e sa luleng, mantsoe a koetsoeng, mantsoe a nepahetseng, mantsoe a loanwords. Bakeng sa ho nepahala ha lipatlisiso u hloka buka ea mantsoe (CMU kapa e tšoanang) - ea rona e ntle ka ho lekana ho sebelisoa ka ho hlaka.

Mochini ona ke oa ho le letona la mosebelisi - ha ho na sebaka sa ho qetela sa mosebelisi. Haeba u batla ho hlahloba ho bala ka ho hlophisa, library ea Python e tloaelehileng "textstat" e phethela li-formula tse tšoanang. Kode ea JS ea rona e ka bonahatsoa ho tsoa ho leqephe haeba u batla ho e tlisa.

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