Recall vs Glasp vs HappyScribe: Which AI tool wins? (Full Transcript)

[00:00:00] Speaker 1: Every minute, more than 500 hours of content is uploaded to YouTube. Podcasts, interviews, lectures, courses, news, expert conversations. And yet, somehow, we're expected to keep up. And the reality is, most of us don't have the time to watch through 3-hour podcasts just to find a 5-minute clip that actually matters. Which is exactly why AI summary tools have exploded over the last year. But after testing the most popular tools right now, I realise they're solving very different problems. Some help you consume content faster, whereas others help you learn. And one of them actually helps you extract value from information. So let's start things off with Recall. Recall is probably one of the most impressive tools if you're a heavy learner. What makes it different isn't the summary. It's what actually happens afterwards. Every video becomes part of a growing knowledge graph. Topics connect together, concepts link to other concepts, and over time, you're essentially building a second brain. For researchers, students, and people who consume a lot of educational content, it's genuinely brilliant. So you may be asking, what's the downside? Well, sometimes it feels like you're managing a knowledge system, rather than actually understanding what's going on in the video. So next up is Glasp. And to be honest, when I tested this, it was almost the opposite approach. It's lightweight, fast, simple, and honestly, that's why so many people like it. Because not every piece of content needs a deep analysis. Because sometimes you just want the answer. All you have to do is open a video, generate a summary, read the key points, and move on. There's very little friction. But eventually, I found myself wanting something a bit more. Not necessarily a better summary, but a better workflow. Which now brings me to HappyScribe. And this is where the category really starts to evolve. Because HappyScribe doesn't really see YouTube videos as just videos. It sees it as information. So let's say I upload a two-hour podcast. Most tools will just give me a summary. HappyScribe will actually give me something much more powerful. A fully searchable transcript, key takeaways, important quotes, a topic breakdown, AI-generated summaries, and the ability to ask questions directly against the content. Now that's a very different experience. And here's what really stood out to me. Most summary tools just stop at understanding. HappyScribe moves into execution. Because once the content has been processed, I can turn it into social posts, reports, briefs, meeting notes, articles, subtitles, translations, even entirely new pieces of content. The information doesn't just get summarized. It gets transformed. And I think that's where this category is now heading. Not an AI that just helps us watch more content. An AI tool that helps us get more value from the content we're already watching. So after testing all three, here's my recommendation. If you're building a personal knowledge system, Recall is fantastic. If you want fast summaries with almost zero friction, Glosp is a great choice. But if your goal is turning information into something useful, HappyScribe is the most complete platform I've tested. Because in 2026, the challenge isn't finding the information. The challenge is knowing what to do with it once you've found it.