{"id":14922,"date":"2025-04-28T10:20:48","date_gmt":"2025-04-28T10:20:48","guid":{"rendered":"https:\/\/topat10.com\/?p=14922"},"modified":"2025-04-28T10:20:48","modified_gmt":"2025-04-28T10:20:48","slug":"how-to-use-gemini-ai-to-summarize-youtube-videos","status":"publish","type":"post","link":"https:\/\/topat10.com\/?p=14922","title":{"rendered":"How To Use Gemini AI To Summarize YouTube Videos"},"content":{"rendered":"<p> <br \/>\n<\/p>\n<div>\n<p class=\"paywall\">A follow-up question about the final score was answered correctly, but Gemini got the name of the scorer of the first touchdown wrong: The AI suggested it was Johan Dotson. Dotson was shown getting a touchdown in the highlights with the scores at 0-0, but it was ruled out\u2014an example of the nuances that AI doesn&#8217;t necessarily pick up on.<\/p>\n<p class=\"paywall\">Gemini did successfully identify when the Kansas City Chiefs got their first points, and even included a timestamp linking straight to the touchdown in the YouTube clip. It also got the name of the scorer right. It seems Gemini is heavily reliant on the commentary for sports clips, which isn&#8217;t surprising.<\/p>\n<h2 class=\"paywall\">Summarize Video Contents<\/h2>\n<figure class=\"AssetEmbedWrapper-eVDQiB byBkf asset-embed\">\n<div class=\"AssetEmbedAssetContainer-eJxoAx dBHGoQ asset-embed__asset-container\"><span class=\"SpanWrapper-umhxW kGxnNB responsive-asset AssetEmbedResponsiveAsset-cXBNxi eCxVQK asset-embed__responsive-asset\"><picture class=\"ResponsiveImagePicture-cWuUZO dUOtEa AssetEmbedResponsiveAsset-cXBNxi eCxVQK asset-embed__responsive-asset responsive-image\"><noscript><img decoding=\"async\" alt=\"Image may contain File and Webpage\" class=\"ResponsiveImageContainer-eybHBd fptoWY responsive-image__image lazyload\" src=\"data:image\/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==\" data-src=\"https:\/\/media.wired.com\/photos\/680a937753dacd659aac61a2\/master\/w_1600%2Cc_limit\/03-budapest.jpg\" data-sizes=\"auto\" data-srcset=\"https:\/\/media.wired.com\/photos\/680a937753dacd659aac61a2\/master\/w_120,c_limit\/03-budapest.jpg 120w, https:\/\/media.wired.com\/photos\/680a937753dacd659aac61a2\/master\/w_240,c_limit\/03-budapest.jpg 240w, https:\/\/media.wired.com\/photos\/680a937753dacd659aac61a2\/master\/w_320,c_limit\/03-budapest.jpg 320w, https:\/\/media.wired.com\/photos\/680a937753dacd659aac61a2\/master\/w_640,c_limit\/03-budapest.jpg 640w, https:\/\/media.wired.com\/photos\/680a937753dacd659aac61a2\/master\/w_960,c_limit\/03-budapest.jpg 960w, https:\/\/media.wired.com\/photos\/680a937753dacd659aac61a2\/master\/w_1280,c_limit\/03-budapest.jpg 1280w, https:\/\/media.wired.com\/photos\/680a937753dacd659aac61a2\/master\/w_1600,c_limit\/03-budapest.jpg 1600w\" sizes=\"100vw\"\/><\/noscript><\/picture><\/span><\/div>\n<div class=\"CaptionWrapper-jSZdqE fJvQtP caption AssetEmbedCaption-fNQBPI dDrfgT asset-embed__caption\" data-testid=\"caption-wrapper\"><span class=\"BaseWrap-sc-gjQpdd BaseText-ewhhUZ CaptionText-bHjzlu iUEiRd kVUvEC iXWezO caption__text\"><\/p>\n<p>The AI can pick out video details\u2014if they&#8217;re mentioned in the audio.<\/p>\n<p><\/span><span class=\"BaseWrap-sc-gjQpdd BaseText-ewhhUZ CaptionCredit-ejegDm iUEiRd isTgyB fNaHcW caption__credit\">Photograph: David Nield<\/span><\/div>\n<\/figure>\n<p class=\"paywall\">Next, we tried putting Gemini up against a <a href=\"https:\/\/www.youtube.com\/watch?v=gYMfEKELveQ\">behind-the-scenes featurette<\/a> for The Grand Budapest Hotel, directed by Wes Anderson. The clip runs to four-and-a-half minutes, and Gemini fired back some replies almost instantly: It identified the name of the film being talked about, and the main beats of the clip&#8217;s narrative.<\/p>\n<p class=\"paywall\">However, it&#8217;s all reliant on the audio (or the transcript) again\u2014there doesn&#8217;t seem to be any analysis of the actual video contents. The AI couldn&#8217;t say who the talking heads were in the video, even though their names were shown on screen, and wasn&#8217;t able to say who the director was (even though this was also mentioned in the video description).<\/p>\n<p class=\"paywall\">On the plus side, Gemini did do an impressive job of summing up the audio of the video. It correctly identified some of the filmmaking challenges that were mentioned throughout, and provided timestamps to them \u2014 from looking for a set to represent the Grand Budapest, to filling it with extras.<\/p>\n<h2 class=\"paywall\">Summarize Interviews<\/h2>\n<figure class=\"AssetEmbedWrapper-eVDQiB byBkf asset-embed\">\n<div class=\"AssetEmbedAssetContainer-eJxoAx dBHGoQ asset-embed__asset-container\"><span class=\"SpanWrapper-umhxW kGxnNB responsive-asset AssetEmbedResponsiveAsset-cXBNxi eCxVQK asset-embed__responsive-asset\"><picture class=\"ResponsiveImagePicture-cWuUZO dUOtEa AssetEmbedResponsiveAsset-cXBNxi eCxVQK asset-embed__responsive-asset responsive-image\"><noscript><img decoding=\"async\" alt=\"Image may contain Page Text File and Webpage\" class=\"ResponsiveImageContainer-eybHBd fptoWY responsive-image__image lazyload\" src=\"data:image\/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==\" data-src=\"https:\/\/media.wired.com\/photos\/680a9377c2c5b585e1c14886\/master\/w_1600%2Cc_limit\/04-mirror.jpg\" data-sizes=\"auto\" data-srcset=\"https:\/\/media.wired.com\/photos\/680a9377c2c5b585e1c14886\/master\/w_120,c_limit\/04-mirror.jpg 120w, https:\/\/media.wired.com\/photos\/680a9377c2c5b585e1c14886\/master\/w_240,c_limit\/04-mirror.jpg 240w, https:\/\/media.wired.com\/photos\/680a9377c2c5b585e1c14886\/master\/w_320,c_limit\/04-mirror.jpg 320w, https:\/\/media.wired.com\/photos\/680a9377c2c5b585e1c14886\/master\/w_640,c_limit\/04-mirror.jpg 640w, https:\/\/media.wired.com\/photos\/680a9377c2c5b585e1c14886\/master\/w_960,c_limit\/04-mirror.jpg 960w, https:\/\/media.wired.com\/photos\/680a9377c2c5b585e1c14886\/master\/w_1280,c_limit\/04-mirror.jpg 1280w, https:\/\/media.wired.com\/photos\/680a9377c2c5b585e1c14886\/master\/w_1600,c_limit\/04-mirror.jpg 1600w\" data-sizes=\"100vw\"\/><\/noscript><\/picture><\/span><\/div>\n<div class=\"CaptionWrapper-jSZdqE fJvQtP caption AssetEmbedCaption-fNQBPI dDrfgT asset-embed__caption\" data-testid=\"caption-wrapper\"><span class=\"BaseWrap-sc-gjQpdd BaseText-ewhhUZ CaptionText-bHjzlu iUEiRd kVUvEC iXWezO caption__text\"><\/p>\n<p>Gemini can provide timestamps for the specified video.<\/p>\n<p><\/span><span class=\"BaseWrap-sc-gjQpdd BaseText-ewhhUZ CaptionCredit-ejegDm iUEiRd isTgyB fNaHcW caption__credit\">Photograph: David Nield<\/span><\/div>\n<\/figure>\n<p class=\"paywall\">Finally, we tried Google Gemini <a href=\"https:\/\/www.youtube.com\/watch?v=6368_ygSukY\">with an interview<\/a>: Channel 4 in the UK speaking to Charlie Brooker and Siena Kelly about the latest series of <em>Black Mirror<\/em> (perhaps appropriate for an article on AI). Gemini proved itself very capable at picking out the talking points, and adding timestamps, though of course the whole video is mostly talking.<\/p>\n<p class=\"paywall\">Again though, there&#8217;s no context about anything outside of the audio or the transcript. Gemini AI couldn&#8217;t say where the interview took place, or how the participants were acting, or anything else about the visuals of the video\u2014which is worth bearing in mind if you use it yourself.<\/p>\n<p class=\"paywall\">For videos where the answers you want are in the audio of a YouTube video, and its associated transcript, Gemini works really well at summarizing and providing accurate answers (provided the commentators mention when a touchdown is ruled out, as well as when one is scored). For any kind of visual information, you&#8217;re still going to have to watch the video yourself.<\/p>\n<\/div>\n\n","protected":false},"excerpt":{"rendered":"<p>A follow-up question about the final score was answered correctly, but Gemini got the name of the scorer of the first touchdown wrong: The AI suggested it was Johan Dotson. Dotson was shown getting a touchdown in the highlights with the scores at 0-0, but it was ruled out\u2014an example of the nuances that AI [&hellip;]<\/p>\n","protected":false},"author":138,"featured_media":14923,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[703],"tags":[807,928,339,1730,1650,3817],"class_list":["post-14922","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology","tag-apps","tag-artificial-intelligence","tag-google","tag-google-gemini","tag-video","tag-youtube"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>How To Use Gemini AI To Summarize YouTube Videos | Unlock Informed Choices with Us<\/title>\n<meta name=\"description\" content=\"Looking for the CliffsNotes of a lengthy YouTube video? 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Nield","author_link":"https:\/\/topat10.com\/?author=138"},"uagb_comment_info":1,"uagb_excerpt":"A follow-up question about the final score was answered correctly, but Gemini got the name of the scorer of the first touchdown wrong: The AI suggested it was Johan Dotson. 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