AlphaMoatによると、2026-09時点でChrome拡張機能YouTube Spoilerのユーザー数は47(前月比 +4.4%)、評価は5(1件のレビュー)で、9,324件のAIブラウザ拡張機能中5,564位、オフィス・コラボレーションでは1,839件中1,152位です。
YouTube Spoilerとは
Spoil any YouTube video from the thumbnail — before you click. Kill clickbait in ~2 seconds. Free. Summarize any YouTube video in ~2 seconds — without opening it. Hover over a thumbnail, click Spoil, and get AI bullet takeaways. Built for skipping clickbait, not for another watch-page summarizer.
WHAT MAKES YOUTUBE SPOILER DIFFERENT? Most YouTube summarizer extensions need you to open the video first. YouTube Spoiler works from the thumbnail on Home, Search, Subs, sidebar, and more. Hover, Spoil, decide — no extra tabs, no paste-a-URL loop.
HOW IT WORKS 1. Hover any YouTube thumbnail — a Spoil badge appears 2. Click Spoil — AI reads the captions and streams key takeaways 3. Read, copy, or skip — in seconds, not minutes
FREE AND PRO
- Free: 3 spoils per day — enough to try it as a daily habit
- Pro: $3.99/month for unlimited spoils (Stripe)
- Google sign-in is used for daily limits and Pro — we do not track your YouTube watch history
FEATURES
ストアの説明の続きを表示▾
- AI bullet summaries streamed in real time
- Spoil from thumbnails (no need to open the video)
- Summaries in 34+ languages (including RTL)
- Rate summaries (thumbs up/down) to improve quality
- Copy summary in one click
- Keyboard: S on a video page to Spoil, Esc to dismiss
- Dark mode matches YouTube
- Lightweight — built for everyday browsing
PERFECT FOR
- Skipping clickbait before you commit 20 minutes
- Research — scan several videos fast
- Non-English videos summarized in your language
- Students, tutorials, and "is this worth watching?" decisions
WHY YOUTUBE SPOILER? YouTube titles and thumbnails are optimized to get the click. YouTube Spoiler gives you the abstract first — key claims and takeaways — so you choose what deserves your time.
Website: https://youtubespoiler.com Support: [email protected]
拡張機能の情報
ユーザー数の推移
オフィス・コラボレーションの人気拡張機能
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データ月:2026-09 · ユーザー数と評価はChromeウェブストアの公開データを月単位で集計したものです。詳しくはデータの方法論をご覧ください。