AlphaMoatによると、2026-09時点でChrome拡張機能Youtube Summary with GPTのユーザー数は8,000(前月比 +0%)、評価は3.6(25件のレビュー)で、9,324件のAIブラウザ拡張機能中612位、オフィス・コラボレーションでは1,839件中166位です。
Youtube Summary with GPTとは
Download Youtube summary with GPT extension to summarize the videos YouTube™ Summarizer Chrome Extension allows users to access the summary of videos they are watching. Users can easily view and access the key points of the video with just one click while browsing YouTube™. This extension can be a helpful tool for those who want to quickly understand the key points of a video without having to watch the entire thing.
Key Features:
Here are some key features of this extension:
>>Video summarization: It automatically summarizes lengthy YouTube™ videos without losing important information. It can easily recognize and extract the key points, insights, and messages of the video.
>>Time-stamping: It provides time-stamped summaries, which allows viewers to quickly navigate to the specific parts of the video they want to watch. This feature can also help viewers easily share and reference specific parts of the video.
>>User-friendly interface: It has a simple and intuitive interface that makes it super easy to use this extension
ストアの説明の続きを表示▾
>>Accuracy and reliability: It accurately gives you the key points of a video, without missing any important information.
How To Use?
>> Install the extension by clicking on the “Add to Chrome” button >> Play any Video which has captions >> At the top right corner, you will see two options – Transcript & Summarizer >> Click on any of the two options as per your requirement
FAQs
>> 1. What is a video summary generator?
This tool automatically creates a brief summary of a YouTube™ video, highlighting the main points and key takeaways. This can help viewers quickly get an idea of what the video is about, without having to watch the entire thing.
>> 2. How does it work?
It uses OpenAI's technology learning to analyze the subtitles of a video.
拡張機能の情報
ユーザー数の推移
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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。