Àwọn Àkọ́lé

Àwọn Àtòjọ-ẹ̀yàn Àkọ́lé Àwọn Àkọ́lé Àwọn Àkọ́lé Àwọn Àmì-ìwé Àwọn Àmì-ìwé Àwọn Ìṣàmúlò-ètò AI Àwọn Àkọ́lé Àwọn Àkọ́lé Àwọn Àkọ́lé Díẹ̀ →

Bii o ṣe le lo Àwọn Àkọ́lé

Fi àgbèwọlé rẹ̀ sínú

Ṣàfihàn àkọlé, láti fi fáìlì pamọ́, tàbí láti ṣàfihàn ohun tí o fẹ́. Àwọn iroyin kò ní àwọn ìṣàmúlò-ètò.

Tẹ̀ láti ṣẹ̀dà

AI wa n ṣe iṣẹ́ nínú àwọn ìṣàmúlò-ètò rẹ̀ nínú àwọn ìṣàmúlò-ètò tí o dara jù lọ.

Àwọn Àkọlé

Ṣàfikún, kọ́, tàbí fi pamọ́ sí àwọn ààtò rẹ. Àlàyé fún ìlò inú ẹni-kẹta àti fún iṣẹ́ ọ̀fẹ́.

Lo àtòjọ-ẹ̀yàn yìí láti inú API

Fi àwọn àtòjọ-ẹ̀yàn yìí pamọ́ láti inú ìṣàmúlò-ètò rẹ̀. Àwọn ààyè-iṣẹ́ REST tí a bá fẹ́, àwọn ìṣàmúlò-ètò toké, àwọn SDK àti àwọn ààyè-iṣẹ́ àwọn toké. Àwọn àwọn àwọn owó toké ní àwọn ìṣàmúlò-ètò wẹ́ẹ̀bù.

Àwọn Àkọsílẹ̀ Gba àwọn àyọkà API

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: ..."}]}'

Àwọn Àṣẹ AI Fúnràn

Àwọn Àtòjọ-ẹ̀yàn Àkọ́lé

Àwọn Àkọ́lé

Àwọn Àmì-ìwé Àwọn Àmì-ìwé

Àwọn Ìṣàmúlò-ètò AI

Àwọn Àkọ́lé

Àwọn Àkọ́lé - FAQ

Free.ai Summarizer condenses any block of text - articles, papers, transcripts, briefs, threads - into 5 length preset (TL;DR / Brief / Paragraph / Detailed / ~20% of original) and 5 output styles (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 ti fi awọn ọrọ 1,200 silẹ lati lo ọfẹ ati pe o san $9.95/mo fun Premium summarizer. Resoomer fi $19.99/mo fun awọn iwe-aṣẹ ti o ju 5,000 chars lọ. SMMRY jẹ ọfẹ ṣugbọn o lo 2008-era extractive sentence-ranking - o sọ awọn ọrọ gbogbo ni ọrọ, ko si paraphrase. Jasper ṣe awọn bundles summarization sinu $39+/mo plano. ChatGPT ṣe o dara ṣugbọn o san $20/mo fun GPT-4. Free.ai ṣe itọju si 10,000 ọrọ ni run kan, ko si iye oṣu kan, ati pe aṣiṣe naa jẹ ti a ṣe ni gbangba lati daabobo awọn otitọ / nọmba / awọn asọye ati pe ko ni ifunni awọn alaye.

TL;DR fún ìpàpọ̀ àyọkà Slack kan. Àwọn àwọn àkọ́lé (2-3) fún ìṣàfihàn àwọn àkọ́lé àwọn ilé àwọn ilé. Àwọn àwọn à

Àwọn ìṣàmúlò-ètò ìpaṣẹ́ mẹ́tà tí a mọ̀: (1) Àwọn àkọlé tí o ju àwọn àmì-ìwé 10K lọ nígbà kan gba àwọn ààyè-iṣẹ́ tí a típà jú àwọn ìparì lọ - tí a fi pẹ̀lú àwọn àkọlé fún ìṣàfarawé. (2) Àwọn àkọlé tí a típà jú àwọn

Àwọn ààyè àwọn ààyè mẹ́tà: **Ìgbèrégbèré** (1-2 àwọn àkọ́lé àwọn ààyè àwọn ààyè), **Ìjánu-ìròyìn Ìjánu-ìròyìn** (3-5 àwọn

The system prompt requires every fact, number, name, date, and citation that survives in the summary to stay verbatim. Inline citations (APA / MLA / footnote markers) are kept where the underlying claim is kept. If a claim gets condensed away, its citation goes with it. For citation-critical work (literature reviews, legal briefs), use Detailed length and Key Points style so nothing important gets dropped.

Lẹ́ẹ̀kan nínú àwọn ọrọ̀ 10,000 (nípa àwọn àyọkà 80,000) nínú ìjánú. Fun àwọn PDFs lo /pdf/summarizer/ — o ń ṣakoso àwọn àyọkà PDF nativa, tí a mọ̀ péjù, àtì ò ǹfàyélù fún àwọn àkọsílẹ̀ ojú-ìwé 200 nínú àwọn móòdù premium. Fun àwọn fidio YouTube lo /youtube/summarizer/ fún àwọn

All 99 Free.ai languages on input. The model auto-detects source language. The output-language picker lets you translate the summary into any of 10 majors (English, Spanish, French, German, Portuguese, Italian, Dutch, Chinese, Japanese, Arabic). For 89 less-common languages set the picker to Auto and the summary stays in the source language.

Yes - paste the raw transcript and pick Bullets style + Brief or Paragraph length. The model handles speaker labels, "uh"s, and crosstalk. For long meetings (60+ minutes) split the transcript by topic for cleaner output. Pair with /text/keyword-extractor/ to pull the action items.

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 signed in) stores a 200-character preview for your dashboard but never the full source.

Ko si - akọkọ summarization ni ọfẹ, ko si imeeli, ko si kaadi kirẹditi. Ṣabẹwo fun awọn kikun 30K / ọjọ pool + generation itan lori gbogbo 400+ Free.ai awọn irinṣẹ, pẹlu awọn ti o gaju ọjọgbọn awọn aṣọ ati awọn iwọle dashboard.

Ya. POST si /v1/gbákọ́/ nípa àgbègbè àwọn ìṣàmúlò-ètò ìṣàmúlò-ètò (ìdárárẹ̀, àwọn ìdárárẹ̀ àwọn oṣù nínú àwọn à

Ṣàfihàn ọ̀fẹ̀: 30,000 tokens/day

Ṣẹ̀dà Àwọn Àkọ́lé

Kò ní àwọn kaadí ẹ̀yàn tí a fẹ́

Bawo ní o ṣe lè fi àwọn ìṣàmúlò-ètò yìí hàn?

Àwọn Àkọ́lé

Àwọn Àtòjọ-ẹ̀yàn

Bii o ṣe le lo Àwọn Àkọ́lé

Fi àgbèwọlé rẹ̀ sínú

Tẹ̀ láti ṣẹ̀dà

Àwọn Àkọlé

Lo àtòjọ-ẹ̀yàn yìí láti inú API

Àwọn Àṣẹ AI Fúnràn

Àwọn Àkọ́lé - FAQ

Kini Free.ai Summarizer?

Bawo ni o ṣe lè ṣé ìṣàfarawé rẹ̀ sí QuillBot Summarizer, Resoomer, SMMRY, Jasper Summarizer, àti ChatGPT?

Ìgbà wò ní mò fi yan?

Àwọn Ìgbà Ìṣẹ́ - ohun tí o bá jẹ́ aṣiṣe?

Àwọn ìṣàmúlò-ètò wo nínú ìṣàmúlò-ètò àwọn ìṣàmúlò-ètò àwọn ìṣàmúlò-ètò

Ṣe o lè fi àwọn ìṣàmúlò-ètò pamọ́?

Ìgbà wo nínú àgbèwọlé náà lè jẹ́?

Àwọn ìrísí-lẹ́tà wo ní o gbọ́?

Ń bá ṣiṣẹ́ ní àwọn àkọ́lé àti àwọn àkọ́lé àwọn ìtàn?

Àwọn àkọlé mìíràn

Ń fẹ́ láti fi pamọ́?

Àwọn ààyè-iṣẹ́ API

30,000 Free Tokens, Gbogbo ọjọ

Wá: 30K tí a fi pamọ́/ọ̀jọ́!

Kò lè fi pamọ́