Isingenisi sesibizo-magama
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579 amamodeli
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Imodeli:
+ GPT-5, Claude, Gemini
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Izinketho ezithuthukisiwe
Imiphumela
Ama-token aphansi.
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Kuqedwa isicelo sakho...
Thola amagama angukhiye kusuka kuwo wonke umbhalo nge-AI emahhala. SEO kanye nokuhlaziywa kwesihloko kwenziwa lula.
Indlela yokusetshenziswa Isingenisi sesibizo-magama
1
Faka isingeniso sakho
Bhala umbhalo, thumela ihele, noma chaza ofuna ukukwenza. Akukho akhawunti edingekayo.
2
Chofoza ukudala
I-AI yethu isebenza isicelo sakho emaminithini ambalwa usebenzisa amamodeli angcono kakhulu avulekile.
3
Layisha phezulu futhi uhlukanise
Layisha phezulu, kopela, noma uhlukanise imiphumela yakho. Imahhala ukusebenziseka komuntu siqu nebhizinisi.
Sebenzisa lesi sisetshenziswa nge-API
Yenza lokhu kusetshenziswa kube lula kusuka kukhodi yakho. I-REST ehambisanayo ne-OpenAI, ubufakazi be-token, akukho SDK edingekayo. Izindleko ze-token zifana ne-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: ..."}]}'Amathuluzi ahlobene ne-AI emahhala
Isingenisi sesibizo-magama - FAQ
Ikhipha amagama abalulekile kakhulu kanye nezinhlamvu kusuka kunoma iyiphi incwadi eminingi (isihloko, ibhulogi, i-transcript, ukuchaza impahla). Izindlela zokukhishwa eziyisithupha: (1) Igama lokhiye le-SEO ne-search-intent tagging, (2) izihloko eziphezulu + izihloko, (3) izinhlangano ezibizwa - abantu/izindawo/izinkampani, (4) izihloko ezifana ne-tag-style lowercase-hyphen-joined tags, (5) izihloko zesibalo semfundo. Iziphetho zi scored 0-100 by TF-IDF, raw frequency, or semantic relevance. Export as CSV, TXT, or JSON.
Yebo - 1,500-word article extracts in ~350 tokens on the default Qwen 3 30B model, comfortably inside the 6,000 anonymous or 30,000 signed-up daily pool. No sign-up required for your first extraction.
Lezi zithuluzi zisusa idatha yocwaningo oluphilayo lwegama eliphambili olimaza ukuwanikeza ($ 99 + / mo). Lezi zithuluzi zikwenza okufanayo - zikhipha amagama aphambili akhethiwe UKUFUMANA okuqukethwe kwakho futhi zihlukanise ukucabanga kwabo kokufuna. Ukuhamba komsebenzi: sebenzisa lokhu ukuthola ukuthi iziphi izilimi isihloko sakho esivele siphawula, bese ufaka ezi ku-Ahrefs / Semrush ukuhlola umfutho wokufuna onyaka.
Amathuluzi amathathu okuqoka: (1) TF- IDF (iphutha) inikeza amagama avamile kulolu hlelo kanye ne- rare e- English - okungcono ku SEO njengoba lezi ziyimigomo ehlukene. (2) Ukuphindaphinda okuqinile kubala izimo eziqondile - okungcono uma ufuna ukubona ukuthi yini okusho kakhulu. (3) Ukuxhumana okunothile okunothile kuqoka ngokuya ngokuya kuhlelo oluyinhloko lwe- thesis ngisho uma amagama abonakala kabili kuphela - okungcono ukuhambisana kwe- topical.
I-n-gram iyingxenye ehambisanayo yegama N. "ushintsho lwesimo sezulu" yigama le-2. "imodeli yengqondo eyenziwe ngokwezifiso" yigama le-3. Chofoza izici ukuze ukhiphe kuphela ama-grams angama-1 (amagama afanayo njenge "photosynthesis"), ama-grams angama-2 (izwi eliphambili njenge "carbon footprint"), noma ama-grams angama-3 (ikhanda elide njenge "carbon footprint calculator"). Amanye ama-SEO afuna ama-grams angama-2+3 - amagama afanayo ajwayelekile kakhulu.
Yebo - iphutha lohlu lokuvala lisusa "i", "no", "ye", "yi", njll. ezilimi ezingu-14. Ungangeza amagama avulekile ajwayelekile nge "Amazwi okuyeka" indawo - esetshenziswa ukuvala igama lakho le-brand, amakhodi wemikhiqizo, noma i-boilerplate legalese engeke ibambe iziphetho.
Google ihlukanise izicelo ngokuya ngenhloso yomsebenzisi: ephathelene nolwazi ("yini i-X"), ukuzulazula ("isitolo esisemthethweni se-nike"), ebhizinisini ("izinwele ezihamba phambili 2026"), ebhizinisini ("thenga i-air max online"). Ithuluzi liphawula amagama akho angukhiye akhishwayo ngenhloso engahleliwe ukuze ukwazi ukuthi isihloko sakho kufanele sihlolwe ngabacwaningi, abathengayo, noma ukubhekana nokuhamba okuqondile. Kubalulekile ukuhlela okuqukethwe ngezici ze-SERP.
99 izilimi nge Qwen 2.5 model. Highest quality on English, Spanish, French, Portuguese, German, Chinese, Japanese. Lower-resource languages work but 3-gram extraction may be less reliable - fall back to 1+2-grams for Arabic, Hindi, Turkish, etc.
The UI runs one text at a time. For bulk extraction wire the /v1/chat/ API into a Python script - iterate over your CMS export, POST each article body, dump the JSON. Bearer auth, 1,000 calls/hour on free accounts, higher limits on pro. Docs at /api/.
RAKE ne YAKE ziyi-algorithms ye-lexical ejwayelekile - ishesha kodwa incane ku-semantic nuance (zilahlekile "i-tech startup" uma idokhumende lithi "i-tech startup" kodwa hhayi "i-tech" kuphela). I-KeyBERT isebenzisa i-BERT embeddings - ikhwalithi engcono ye-semantic kodwa ihamba kancane futhi idinga ukufakelwa. I-TextRank isekelwe ku-graph. Uhlelo lwethu lusebenzisa i-7B-parameter LLM eyenza konke okuphezulu okunge-zero-shot plus ucwaningo-ukufuna ukuhlukaniswa - ihamba kancane nge-call kodwa i-zero setup, free, futhi akukho ML engineering edingekayo.
Kumodi yobuningi kanye ne-TF-IDF, yebo - wonke amathuluzi asemqoka atholakala kusuka kumbhalo womsuka ngokusho noma ngoshintsho oluncane lokushintsha. Kumodi yesimo sesimo se
Yebo - UTHOMBELA ku /v1/ukukhuluma/ ngendlela efanayo yokufaka isicelo le khasi liyenza (bheka isithombe-sikweletu sokufaka isicelo esifanele). Ibuyisela iJSON eyenziwe kahle. Engcono ku-content-strategy dashboards noma CMS plugins. Ubufakazi bomuntu ophethe, ama-limits anyanga zonke. Amadokhumende ku /api/.
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