기능과 용도를 기준으로 고른 Steam Summarize 대안 도구 12개입니다.
| 순위 | 도구 및 소개 문구 | 공식 도메인 | 월간 방문 수 | 전월 대비 성장률 | 가격 모델 | 주요 시장 | 평점 | 비교 |
|---|---|---|---|---|---|---|---|---|
| ● |
| Steam Summarize |
| steamsummarize.com |
| 1.53만 |
| -1.95천 (-11.3%) |
| 무료 |
| 미국 |
| 3.9 |
| 프로필 |
| 1 | Trustguide.ai | trustguide.ai | 8.97천 | -1.45천 (-13.9%) | 무료 | 미국 | 3.7 | 비교 |
| 2 | Summarizer.org | summarizer.org | 39.85만 | 5.1천 (+1.3%) | 무료+유료 | 미국 | 3.8 | 비교 |
| 3 | TLDR This | tldrthis.com | 8.26만 | -2.13만 (-20.5%) | 무료 | 미국 | 4.2 | 비교 |
| 4 | Summarize.ing | summarize.ing | 5.98만 | -5.37천 (-8.2%) | 무료+유료 | 미국 | 4.2 | 비교 |
| 5 | AI 비디오 요약기 | aivideosummarizer.io | 17.68만 | -6.98만 (-28.3%) | 무료 | 미국 | 3.8 | 비교 |
| 6 | AI 아마존 제품 리뷰 / 매뉴얼(ProductReviewGPT) | productreviewgpt.com | 787 | -837 (-51.5%) | 무료 | 미국 | 3.7 | 비교 |
| 7 | SciSummary | scisummary.com | 3.89만 | -2.35만 (-37.7%) | 무료+유료, 무료 체험, 유료 | 미국 | 4.4 | 비교 |
| 8 | AI Book Summarizer | aibooksummarizer.com | 8.44천 | 2.21천 (+35.5%) | 무료 | 미국 | 4 | 비교 |
| 9 | AI Summary Generator | summarygenerator.io | 9.85천 | -314 (-3.1%) | 무료+유료 | 미국 | 3.8 | 비교 |
| 10 | Kagi Search | kagi.com | 464.76만 | 14.52만 (+3.2%) | 무료 체험, 유료 | 미국 | 4.7 | 비교 |
| 11 | Steam Review Summarizer | chromewebstore.google.com | 0 | 0 (—) | 무료+유료 | 글로벌 | 4 | 비교 |
| 12 | Semantic Scholar | semanticscholar.org | 819.87만 | 45.07만 (+5.8%) | 무료 | 미국 | 4.8 | 비교 |
특화 강점AI가 고객 리뷰를 요약해 기업 평판을 한눈에
Summarizer.org is a free AI summarizer that condenses text, articles, essays and documents into paragraph or bullet-point summaries with adjustable length.
Summarizer.org is a free AI summarizer that condenses text, articles, essays and documents into paragraph or bullet-point summaries with adjustable length.
TLDR This is a free online summarization tool that condenses long articles, blog posts, and webpages into short, easy-to-read summaries. Built as both a web app and a browser extension, it also strips ads and clutter, extracts key metadata like author and date, and estimates reading time so you can get the gist without the noise.
TLDR This is a free online summarization tool that condenses long articles, blog posts, and webpages into short, easy-to-read summaries. Built as both a web app and a browser extension, it also strips ads and clutter, extracts key metadata like author and date, and estimates reading time so you can get the gist without the noise.
Summarize.ing is a web app that converts long YouTube videos into concise, structured summaries in about a minute — no need to watch the whole thing. Paste a video link and it returns highlights, a mind map, segmented notes, key concepts, and a set of auto-generated Q&As so you can absorb the substance of a lecture, review, or tutorial quickly.
Summarize.ing is a web app that converts long YouTube videos into concise, structured summaries in about a minute — no need to watch the whole thing. Paste a video link and it returns highlights, a mind map, segmented notes, key concepts, and a set of auto-generated Q&As so you can absorb the substance of a lecture, review, or tutorial quickly.
어떤 영상이든 깔끔한 요약·자막·마인드맵으로 — 무료, 가입 불필요
아마존 제품의 설명서, FAQ, 리뷰 요약을 AI로 자동 생성
아마존 제품의 설명서, FAQ, 리뷰 요약을 AI로 자동 생성
과학 논문을 위한 AI 요약과 학습 가이드
책 파일을 장별 요약과 대화로 바꿔주는 도구
긴 글, 기사, PDF를 클릭 한 번에 요약
사용자가 비용을 대는 광고 없는 검색 엔진
특화 강점Steam Review Summarizer is a Chrome extension that adds a summary section to Steam game pages, condensing player reviews with OpenAI's GPT models using your own API key.
특화 강점Steam Review Summarizer is a Chrome extension that adds a summary section to Steam game pages, condensing player reviews with OpenAI's GPT models using your own API key.
Semantic Scholar is a free, non-commercial academic search engine built by the Allen Institute for AI (Ai2). It indexes more than 240 million papers from every field of science and uses machine learning to extract meaning from abstracts, citations, figures and tables, so researchers find relevant work faster than with keyword-only search.
Semantic Scholar is a free, non-commercial academic search engine built by the Allen Institute for AI (Ai2). It indexes more than 240 million papers from every field of science and uses machine learning to extract meaning from abstracts, citations, figures and tables, so researchers find relevant work faster than with keyword-only search.
