{"id":735,"date":"2026-03-21T13:55:25","date_gmt":"2026-03-21T17:55:25","guid":{"rendered":"https:\/\/laeka.org\/blog\/archives\/735"},"modified":"2026-03-21T13:55:25","modified_gmt":"2026-03-21T17:55:25","slug":"ai-that-transcribes-your-meetings","status":"publish","type":"post","link":"https:\/\/laeka.org\/blog\/ai-that-transcribes-your-meetings\/","title":{"rendered":"AI That Transcribes Your Meetings: You Are Wasting Time Without It"},"content":{"rendered":"<p>You&#8217;re in a Zoom meeting. You have to listen, participate, AND take notes. It&#8217;s like asking someone to play hockey, tell a joke, and knit at the same time. It&#8217;s not human.<\/p>\n<p>Spoiler: you can have a machine take notes for you. It&#8217;s not sci-fi. It&#8217;s free or cheap. And it&#8217;ll save you maybe 5 hours a week.<\/p>\n<h2>How it works<\/h2>\n<p>Tools like Otter.ai, Notion Recorder, or even Microsoft Teams record the meeting and transcribe it in real time. While everyone&#8217;s talking, the text shows up at the bottom of the screen or in a separate file.<\/p>\n<p>It&#8217;s far from perfect \u2014 proper nouns hallucinate sometimes, accents are tough \u2014 but it captures 85-90% of what&#8217;s said. It&#8217;s honestly better than your own notes, because you didn&#8217;t miss the last three minutes because you were typing.<\/p>\n<h2>The game-changer: AI extracts the key points<\/h2>\n<p>But wait, it&#8217;s not just transcription. AI can also summarize. It can pull out: &#8220;Decisions made: X, Y, Z. Action items: A (you), B (Marie). Topics for next time: C.&#8221;<\/p>\n<p>Imagine: you leave your 60-minute meeting and you&#8217;ve got a page with key takeaways in 30 seconds. That&#8217;s pretty good.<\/p>\n<p>Otter.ai does this natively. Notion does it. Even ChatGPT can do it if you give it the transcript.<\/p>\n<h2>Real use cases<\/h2>\n<p><strong>Managers\/team leads.<\/strong> You&#8217;ve got 5 one-on-ones per week. You need to remember what each person said last week. AI transcribes, you easily find &#8220;Oh right, Jean said he was stressed about project X.&#8221;<\/p>\n<p><strong>Salespeople.<\/strong> You&#8217;re on a client call. You need to listen to their needs, not write. AI records and transcribes. After, you have an exact summary of the client&#8217;s pain points.<\/p>\n<p><strong>Lawyers\/consultants.<\/strong> Every meeting needs to be documented. AI does it automatically. Fewer errors, more traceability.<\/p>\n<p><strong>Distributed teams.<\/strong> Someone missed the meeting? Send them the transcript. People can check after \u2014 nobody forgets what was discussed.<\/p>\n<h2>The pitfalls<\/h2>\n<p>First: you need to ask permission. Legally, it&#8217;s important. In many places, you can&#8217;t record someone without their consent. Say at the start: &#8220;I&#8217;m going to record for my notes. OK?&#8221;<\/p>\n<p>Second: it&#8217;s imperfect. The transcription can make up words. A heavy accent is tough. Acronyms often get confused. So always re-read before sharing or relying on it 100%.<\/p>\n<p>Third: confidentiality. Otter.ai stores your data. If you&#8217;re discussing sensitive stuff, check their privacy policy or use a tool that keeps everything local.<\/p>\n<h2>The simple setup<\/h2>\n<p>Otter.ai: create a free account, it gives you 600 minutes per month. Enough for a few meetings. Teams: if you use Teams, it&#8217;s built-in. Notion Recorder: same, free for some versions.<\/p>\n<p>Seriously, try it for one meeting. You&#8217;ll see the difference right away. You&#8217;ll be able to listen instead of write. And that changes everything.<\/p>\n<p>Curious how other teams use tech to be more productive? Explore <a href=\"https:\/\/sherpa.live\">Sherpa<\/a> for practical workflows. Or check <a href=\"https:\/\/laeka.org\/lab\/\">Laeka Research<\/a> for an analysis of productivity trends.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>You&#8217;re in a Zoom meeting. You have to listen, participate, AND take notes. It&#8217;s like asking someone to play hockey,&#8230;<\/p>\n","protected":false},"author":1,"featured_media":92,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"_kad_post_classname":"","footnotes":""},"categories":[191],"tags":[],"class_list":["post-735","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-in-daily-life"],"_links":{"self":[{"href":"https:\/\/laeka.org\/blog\/wp-json\/wp\/v2\/posts\/735","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/laeka.org\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/laeka.org\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/laeka.org\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/laeka.org\/blog\/wp-json\/wp\/v2\/comments?post=735"}],"version-history":[{"count":0,"href":"https:\/\/laeka.org\/blog\/wp-json\/wp\/v2\/posts\/735\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/laeka.org\/blog\/wp-json\/wp\/v2\/media\/92"}],"wp:attachment":[{"href":"https:\/\/laeka.org\/blog\/wp-json\/wp\/v2\/media?parent=735"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/laeka.org\/blog\/wp-json\/wp\/v2\/categories?post=735"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/laeka.org\/blog\/wp-json\/wp\/v2\/tags?post=735"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}