Motsamaisi oa Litlhaku
Ho sebelisoa ka khoebo
380+ li-models
Ha ho letšoao la metsi
Ha ho hlokahale ho ngolisoa
Mofuta:
+ GPT-5, Claude, Gemini
Bo_tho
Tlhaloso e tobileng
Likhetho tse tsoetseng pele
Bo_lemo
Tokens e tlase.
Fumana Token e eketsehileng
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Ngola mahala
Ho sebetsana le kopo ea hau...
Ho ngola ka ho hlaka lengolo le leng leng ka AI ka mahala. Lingoloa, litokomane, le tse ling.
Mokhoa oa ho sebelisa Motsamaisi oa Litlhaku
1
Ke eng eo u e kentseng?
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 ka ho sebelisa li-models tse ntlehali tsa open-source.
3
Tlosa & & arolelana
Kopitsa, kenya kapa arolelana litlamorao tsa 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: ..."}]}'Li-Tools tsa AI tse Bulehileng tse Bulehileng
Motsamaisi oa Litlhaku - FAQ
Free.ai Summarizer e kopanya lebokose le leng leng la mongolo - lihlooho, libuka, li-transcripts, li-briefs, li-threads - ho li-presets tsa 5 tsa bole (TL; DR / Brief / Paragraph / Detailed / ~ 20% ea mantlha) le li-styles tsa 5 tsa tlhahiso (Paragraph / Bullets / Table of Contents / Key Points + ho tšehetsa litlhahlobo / Executive Summary). Khetha boemo ba ho bala (grade 8th → expert) hore li-landings tsa li-summary li be le reyestro e nepahetseng, le puo ea sepheo (auto kapa 10 majors) haeba u batla hore li-summary li fetole.
QuillBot e sebelisa ho sebelisa mahala ho mantsoe a 1,200'me e lefa $ 9.95 / mo bakeng sa sehlooho sa Premium. Resoomer e lefa $ 19.99 / mo bakeng sa litokomane tse fetang 5,000. SMMRY e mahala empa e sebelisa 2008-era extractive sentence-ranking - e ngola lihlooho tse felletseng ka ho toba, ha ho na paraphrase. Jasper e hokahanya ho arolelana ho ea ho $ 39 + / mo. ChatGPT e etsa hantle empa e theko e boima $ 20 / mo bakeng sa GPT-4 ho kena. Free.ai e sebetsa ho fihlela ho mantsoe a 10,000 ka ho tsamaea, ha ho na li-caps tsa beke le beke, mme ho boletsoe ka ho hlaka ho boloka liketsahalo / lipalo / litlhaloso le ho se ke ha etsa lintlha.
TL; DR bakeng sa ho arolelana lebokose leng la Slack. Bonyane (litlhaloso tsa 2-3) bakeng sa ho bona pele ho sehlooho sa lengolo-tsoibila kapa sehlooho sa sechaba. Paragraph bakeng sa ho khutlisa kopano. Boholo (liparagraph tsa 3-5) ha u hloka hore moralo o feletseng o bolokehe - mokhoa, liphetho, ho qetela. ~ 20% ea mantlha ke khetho e bohlale bakeng sa ho kenya nako e fapaneng - e theha tlhaiso-leseling e qaqileng ho seo sehlooho se ka se tšeptjoang.
Litsela tse tharo tse tsebahalang tsa ho se khone: (1) Litokomane tse telele ho feta mantsoe a 10K ka linako tse ling li fumana pakeng tsa tsona tse thata ho feta lipheletsong - li aroloa ka lihlooho bakeng sa botsitso. (2) Litokomane tse thata ka ho fetisisa (litlhaloso tsa lichelete, lipalo-palo tsa lipatlisiso) ka linako tse ling li koahetsoe ka ho fetesisa - kamehla li hlahloba lipalo ho tsoa. (3) Ha sehlooho se sa utloisisehe, tlhaiso-leseling e ka hlaka hore ho se utloisisehe ho ka ba le bonnete bo sa tšoaneng.
Lihlooho tse tharo tse nang le letšoao: **Context** (1-2 tlhaloso ea boemo ba ho hlophisa), **Key Findings** (3-5 li-bullet tse ka etsang qeto), **Recommendation** (kamora ho fana ka tlhaloso ea sehlooho — re ke ke ra fana ka tlhaloso). E sebelise bakeng sa li-memos tsa board, li-updates tsa boemo, li-briefs tsa qeto.
Mofuta oa ho ngola o hloka hore ntho e ngoe le e ngoe, palo, lebitso, letsatsi le ho ngola ho phela ka ho feletseng. Litlhaku tsa kahare (APA / MLA / li-markers tsa litlhaku tsa kahare) li bolokiloe moo ho boleloang ka tlase ho boleloang. Haeba ho boleloa ho tlosoa, ho ngola ho ea le eona. Bakeng sa mosebetsi o thata oa ho ngola (litlhahlobo tsa lingoliloeng, litlhahlobo tsa molao), sebelisa bole bo bongata le setaele sa Lintlha tsa bohlokoa hore ho se na ntho e ntle e tla etsoa.
Ho fihlela ho mantsoe a 10,000 (litšoantšo tse ka bang 80,000) ka ho tsamaea. Bakeng sa PDFs sebelisa /pdf/summarizer/ - e sebetsana le ho tlosa PDF ea native, ho hlaka ha leqephe, le ho amohela ho fihlela ho litokomane tsa 200-page le li-models tsa premium. Bakeng sa livideo tsa YouTube sebelisa /youtube/summarizer/ bakeng sa ho hlaka ha transcript le timestamps.
Li-languages tsohle tse 99 Free.ai ka ho kenya. Mohlala o fumana ka ho toba puo ea mohloli. Mokhethoa oa puo ea tlhahiso o u lumella ho fetolela tlhaiso-leseling ka botlalo ho e 'ngoe ea lipuo tse 10 tse kholo (Senyesemane, Sepanishe, Sefora, Sejeremane, Seportigali, Seitalia, SeDutch, Sechina, Sejapane, Searabia). Bakeng sa lipuo tse 89 tse sa tloaelehang, beha mokhethoa ho Auto'me tlhaiso-leseling e tla lula ka puo ea mohloli.
E-na — kenya transcript e sa pheleng'me u khetha mofuta oa Bullets + Bophahamo bo bonyane kapa bo bole ba Paragraph. Mofuta o sebetsana le li-labels tsa mohlophisi, "uh"s, le ho bua ka ho hlaka. Bakeng sa liketsahalo tse telele (60+ metsotso) tlohela transcript ka mantsoe bakeng sa tlhahiso e hloekileng. Kopanya le /text/keyword-extractor/ ho nka lintho tsa ho etsa.
Text is sent to Free.ai's self-hosted GPUs, processed, and discarded after the response. We do not train on user inputs. We log only timestamp + token cost for billing — never the source text. Generation history (if you're logged in) stores a 200-character preview for your dashboard but never the full source.
Ha ho joalo - ho kopanya ho qetela ho mahala, ha ho na lengolo-tsoibila, ha ho na karete ea mokitlane. Reka li-token tsa 10,000 tsa mahala tsa ho ingolisa + pale ea ho hlahisa li-400 + Free.ai tse sebetsang ka lisebelisoa tsohle, hammoho le li-caps tse phahameng tsa letsatsi le letsatsi le ho fihlella dashboard.
Ee. POST ho /v1/chat/ le lets'olo la sistimi ea ho kopanya (ho amohela tumello, ho fepa ka khoeli ka qeto). Ho molemo ho kopanya ho kopanya ho CMS, Slack bot, kapa li-pipeline tsa litaba. Li-snippets tse felletseng li ka fumanoa ho /api/.
U tla lekola eng ka sesebelisoa sena?