Turn Interviews Into Searchable Content Workflows (Full Transcript)

[00:00:00] Speaker 1: Okay so imagine you've just finished a two hour interview. You've got the recording and you've got the transcript and now you're looking at 60 pages and thinking what do I actually do with all of this? Now a lot of transcription tools are really good at getting you to this point. They'll transcribe it, maybe they'll give you a summary, maybe you can even chat with the recording and that's useful but today I want to show you the tool that takes it that step further because with HappyScribe the transcript isn't really the end product. It's where the workflow starts and I'm going to show you exactly what I mean. So let's just say I've finished recording an interview. I can bring that recording straight into HappyScribe. I can upload the file, import it from where I'm storing it or if this was a meeting I could have HappyScribe's note taker join the call automatically and once that recording is in here HappyScribe gets straight to work. Now the first thing you're going to get is the full transcription and this is really important. I can go directly into the transcript, change the words, correct something, search through the conversation and jump straight into the moment where something was said. So already this is more useful than just having some text sitting on my computer but let's take it that one step further because maybe I don't actually want to read through this entire interview so I can use the AI feature within HappyScribe to pull out the important parts. For example, give me the key points. What were the biggest takeaways? What were the most important decisions? What are the action items? And suddenly that two-hour conversation is something I can understand within a couple of minutes. But here's where I think things get really interesting. I can actually create from the conversation. So let's say this was a customer interview. I can take what we've discussed and turn it into a case study or a brief or a blog post or even social content. I'm not having to copy 60 pages into another AI tool because the context is already there. Then there's the part I think creators are going to really appreciate. Subtitles. Let's say this interview is also going to go on YouTube. I've already got the video and now I've got the transcript. I can generate subtitles directly from that transcript. You can edit the timing, change the way they look and export them as SRT or VTT or I can burn them directly within the video. And if I'm making content for international audiences, I can translate those subtitles into another language and I'm still working on that same original version. Now there's another feature I want to show you because once you've got enough conversations inside HappyScribe, you can start asking questions across them. Let's say I've interviewed five different customers about the same product. Instead of opening five transcripts, I can search across my recordings because you're not just storing conversations anymore, you're building a searchable library of everything you've talked about. And there's another little feature that becomes surprisingly useful when you're working at scale. Glossaries. Because if you're constantly interviewing people from the same company or working with technical terminology, you can actually teach HappyScribe the names and terms of things you want recognized. So instead of correcting the same company name over and over again, you just teach it once and that knowledge carries through all your recordings. And of course you don't have to be sitting at your computer to do any of this. Because if a conversation happens in person, you can actually just record it from the mobile app. If it's Zoom, Google Meet or Teams, HappyScribe can join automatically. And if you've already got the recording, you can just upload it. So however the conversation happened, you can bring it to the same workflow. Now I think there's a really important distinction here. If you just need to transcribe one recording every few months, this is probably a bit overkill for you. Because a basic transcription tool will probably do the job. But if you're actually doing something with those conversations, it's not just a place where your recordings go to become text. It's a place where your conversation becomes something you can actually work with. I think that's the part most transcription tools are actually missing.