AI Summarizer bakeng sa litlhaku tsa ho ithuta
Ho sebelisoa ka khoebo
567 models
Ha ho letšoao la metsi
Ha ho hlokahale ho ngolisoa
Mofuta:
+ GPT-5, Claude, Gemini
Sebetsa litlhaku tsa thuto, leqepheng la buka ea thuto, leqepheng la lipatlisiso, kapa lengolo le telele le fumanang tlhaiso-leseling e bonolo ea ho ithuta. Khetha setaele sa tlhahiso - lethathamo la li-bulletin, leqepheng le thata, leqepheng le nang le li-hyperlink, letšoao le loketseng la matšoao a kelello, kapa lintlha tse tharo tsa bohlokoa. Ho khetha ho ithuta-prompt ho kenya lipotso tsa tlhahlobo qetellong e le hore u ka etsa liteko tsa hau.
Tlhaloso ea hau
Likhetho tse tsoetseng pele
Phello
Tokens e tlase.
Fumana Token e eketsehileng
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Register ho fumana sehokela sa ho u joetsa le ho fumana li-token tse 25 000 ka motsoalle.
U batla ho feta?
E-ba le tokelo ea ho ingolisa: 30,000 tokens/day
Ho ngolisa
Ho sebetsana le kopo ea hau...
Ho kopanya litlhaku tsa thuto, lihlooho tsa buka ea thuto, le ho bala ka AI e mahala. Bullet / paragraph / outline / mind-map / 5-key-points formats, lipotso tsa ho ithuta tse sa tšoaneng.
Ho sebelisa AI Summarizer bakeng sa litlhaku tsa ho ithuta
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": "Explain quantum entanglement for a 5-year-old."}]}'AI Summarizer bakeng sa litlhaku tsa ho ithuta - FAQ
Free.ai Study Summarizer e fetola litlhaku tsa thuto, lihlooho tsa buka ea thuto, litokomane tsa lipatlisiso, kapa mongolo ofe kapa ofe o telele ho ea ho litlhaku tse bonolo tsa ho ithuta. Khetha setaele sa tlhahiso - lethathamo la li-bullet, para, sehlooho sa hierarchical, mind-map markdown, kapa 5 lihlooho tsa bohlokoa - hammoho le karolo ea lipotso tsa ho ithuta bakeng sa ho itlhahisa.
Ea - Qwen 3 30B e sebetsa ka GPUs ea rona kahare ho pool ea token ea letsatsi le letsatsi. Litheko tsa litheko li thehiloe ka bole ba ho kenya (~ 500-3,000 tokens tse tloaelehileng). Li-accounts tse sa lefelloeng li fumana li-token tsa 10,000 ka ho ingolisa, tse lekaneng bakeng sa li-summaries tsa 10-30.
Notion AI ke $ 10 / mosebelisi / khoeli; Mem e theko e tlaase ea $ 10 / khoeli bakeng sa AI; Glean ke khoebo feela ho $ 30 + / setulo; Litlhahlobo tsa Otter li koahetsoe ho liboka tsa hau tse ngotsoeng. Free.ai li sebetsa ka tekanyo efe kapa efe eo u e etsang - ha ho na ho koaloa ha ekosistema, ha ho na ho ingolisa, ha ho hlokahale sebaka sa mosebetsi.
Li-styles tse tharo: (1) Li-bullet list - scannable, sub-headed; (2) Paragraph - ho phalla ha libuka ho arolelana; (3) Li-hierarchical outline - li boloka sebopeho sa mohloli; (4) Mind-map markdown - e loketse Markmap kapa Mermaid; (5) Li-5 key points - ka bokhutšoanyane li-5 ranked takeaways.
Check "Add 5 study questions at the end" le ho theha ho tla eketsa karolo ea lipotso tsa ho ithuta le 5 self-quiz prompts - ho kopanya ho khutla le ho hlahloba. Perfect bakeng sa pre-examination review. Check "Extract key terms" bakeng sa bonus glossary ea 5-8 bohlokoa mantsoe.
E lumellana le mohloli (ho nepahala - ho boloka lifaele tsa mohloli), Explain-like-12, High-school, College, kapa Expert. E thusa ho fetolela ho ngola ha lingoliloeng tse thata ho ea ho puo ea sehlopha sa ho ithuta kapa ho qeta lingoloa tsa lingoliloeng ho ea ho lingoliloeng tsa liteko.
Ha ho joalo - ho qetela ho ngola ka ho toba ho sebetsa ka ntle, ha ho hlokahale lengolo-tsoibila. Reka li-token tsa 10,000 ka ho ngola le ho hlahisa nalane.
E ntle ka mantsoe a 500-10,000 (a koahela libuka tse ngata tsa lingoliloeng, lihlooho, le litokomane). Bakeng sa li-PDF tse telele, sebelisa /pdf/summarizer/ e sebetsang ka ho hlaka ho hlaka le ho khutlisa litlhaloso ka leqephe.
Ea - tsohle 99 Free.ai lihlooho tšehetsa. Paste Spanish lingoloa lengolo, tlhaloso e tla khutlela ka Spanish le leano le tšoanang le ho kenya litaelo bophahamo.
Ha ho joalo - sistimi e rera ka ho hlaka hore model e tlale feela seo se leng tekong, e boloke li-hedges ("may", "suggests"),'me e se ke ea beha mohlala kapa maikutlo. Haeba u bona ho boleloa ka ho hlaka hore ha se ka hloohong ea hau, e romelle - e tla ba bothata.
E-na - kenya e le.md (markdown, e ntle bakeng sa Notion / Obsidian / Logseq) kapa.txt (e bonolo, e ntle bakeng sa imeile / Google Docs paste). Kopa-ho-clipboard e fana ka mongolo o hloekileng le syntax e kentsoeng ka har'a markdown.
E-na - POST ho /v1/chat/ le ho kopa ho tsoa ho sistimi. E loketse li-apps tse hlokang ho kenya litlhaku tse kenang ka ho feletseng. Ho lekola ho lekola ka liphesente. Li-snippets ho /api/.
E-ba le tokelo ea ho ingolisa: 30,000 tokens/day
E etsa akhaontoHa ho hlokahale karete ea mokitlane
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