Motsamaisi oa Litlhaku

Free.ai Summarizer condenses leha e le efe block ea mongolo - lihlooho, libuka, transcripts, li-shorts, li-threads - ho 5 bophahamo bo ka pele (TL; DR / Brief / Paragraph / Detailed / ~20% ea mantlha) le 5 styles output (Paragraph / Bullets / Table of Contents / Key Points + supporting quotes / Executive Summary). Pick a reading level (8th grade → expert) so the summary lands at the right register, and a target language (auto or 10 majors) if you want the summary translated.

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 ho fihlella GPT-4. Free.ai e sebetsa ho fihlela ho mantsoe a 10,000 ka ho tsamaea, ha ho na li-caps tsa khoeli le khoeli, 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-bullets tse ka etsang), **Recommendation** (ka mor'a moo haeba sehlooho se ka sehloohong se bolela e 'ngoe - re ke ke ra etsa qeto ea qeto). Se sebelise bakeng sa libuka tsa board, liphetoho tsa boemo, litlhaloso tsa qeto.

Mofuta oa ho ngola o hloka hore ntho e ngoe le e ngoe e be teng, palo, lebitso, letsatsi, le ho ngola ho phela ka ho hlaka. Litlhaku tsa kahare (APA / MLA / footnote markers) li bolokiloe moo ho ngolisoang ka tlase ho litlhaku. Haeba ho ngolisoa ho tla ba le ho hlaka, ho ngolisoa ho tla ea le ho. Bakeng sa mosebetsi o khethehileng oa ho ngolisa (lingoliloeng tse hlahlojoang, litlhaku tse khethehileng tsa molao), sebelisa bole bo pharaletseng le setaele sa Litlhaku tsa bohlokoa hore ho se na ntho e ka sehloohong e tla tlosoa.

Ho fihlela ho mantsoe a 10,000 (likaraktere 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 leqephe la 200 le li-models tsa premium. Bakeng sa livideo tsa YouTube sebelisa /youtube/summarizer/ bakeng sa ho hlaka ha transcript-aware 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 e khuts'oane ho e ngoe ea li-10 tse kholo (Senyesemane, Sepanishe, Sefora, Sejeremane, Seportigali, Setaliana, Sedutch, Sechina, Sejapane, Searabia). Bakeng sa lipuo tse 89 tse sa tloaelehang, beha mokhethoa ho Auto'me tlhaiso-leseling e khuts'oane e lula ka puo ea mohloli.

E-na - kenya transcript e sa pheleng'me u khetha' mala oa Bullets + Bophahamo ba Bonyane kapa Bophara. Mofuta o sebetsana le li-labels tsa moqoqi, "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 are logged in) stores a 200-character preview for your dashboard but never the full source.

Ha ho - ho qala ho ngola ke mahala, ha ho na lengolo tsoibila, ha ho na karete ea mokitlane. Reka bakeng sa 30K / letsatsi le felletseng + ho theha pale ea libuka ka li-tools tsa 400 + Free.ai, hammoho le li-caps tse phahameng tsa letsatsi le letsatsi le ho fihlella dashboard.

Ea. POST ho /v1/chat/ le ho kopa ha sistimi ea ho kopanya (ho lekola, ho lekanyetsoa ka khoeli ka qeto). Ho molemo ho kopanya ho kopanya ho CMS, Slack bot, kapa litaba tsa pipeline. Li-snippets tse felletseng ho /api/.