![]() The app itself indicates that all the transcription is done locally on your machine, so it’s not being sent up to the cloud and being used in some other way. For me, accuracy is more important, but you could also use, if you need a very quick translation, these smaller models. So my podcast, which lasts about 20 minutes, it takes about five minutes to get the transcript. They each basically take more time the larger the model gets, but they also get more accurate. There’s what is called tiny in English, small, base, medium, and large models. You can determine what level of translation you want to get. This particular app has a lot of good features. Makes sense since they’re using the same base code and now just adapting it to be better applications. The person is taking notes from the people who are using it and making it much better.Īnd after some testing, I found out it did a great job, just as good as what Auphonic was giving me. This app is getting a lot better really quickly. Every couple of days, it seems there’s a new update and something else got fixed. I’ll tell you that since May, there have been six updates to this project. It had a batch update, but that batch update didn’t work. When I first got it earlier this year, some things just didn’t work. I noticed that the trend overall is much better. Interesting to me is the overall score it gets on the Apple Store is 3. I looked at some others and the other ones didn’t seem to have as much functionality, and tried to charge you a lot more money for something that’s open source, but also didn’t have the attention that this software has. I found an app for the Mac called Whisper Transcription. Whisper Transcription in the Mac App Store It can be found on GitHub, but ever since it was released to open source, people have been using it because it’s so good to make software applications. And back in September of 2022, OpenAI released the whole Whisper code into open source. According to OpenAI, they use 680,000 hours to initially train this app to do transcription, which is part of this whole AI movement for sure. It turns out that OpenAI own the rights to Whisper software, and it was produced by a fellow named Georgie Gurgenov. So I was looking for some other solution that I could do so that I could start dropping those audio files into something and get good transcripts out of it. I have 148 of them under my belt.Īnd to spend transcription time, which Ophonics gives you two free hours a month, to put all my old podcasts into their app, would have used up a lot of my time. Then I needed to go through and start doing my older podcasts. But Whisper with Auphonic did a great job and it got me a long way. I really need that good, solid transcript to start this whole AI process. Trying to clean up a 3,000-word transcription that’s not very good isn’t going to help me very much. That did a great job, and it did a little bit better than the apps I was trying to use. This allows you to exchange that data with other types of websites and applications too. This means that when you activate that, you get to have a subtitle file, you get to have a transcript, you get to have what is called a VTT file, it gives you an HTML file if you want to put it on your website, your transcript file, or a JSON file. They came out with integration with Whisper ASR (Automatic Speech Recognition) to do audio transcripts. ![]() Then back in September of 2022, Auphonic, which is the app that I use, (and Allison uses) to help process the audio file, smooths it out when it comes to noise level, it comes to loudness levels, it makes the whole podcast better added a new feature. When I saw the transcription, the words were quite different than what I actually said. The first thing I need is a good transcription.Īt first, I tried other services and started reducing my confidence that I was any good at podcasting at all. I really want to do that myself.īut instead, I was using AI to get good show notes and get some good hot topics for social media.īut I failed to mention, I think, the very first step in all of this is I’m using Grammarly Go to help me write the show notes, which are summaries of my podcast. Again, I’m not using it to write my content. I told you recently how I was using AI to help me make podcasts show notes better.
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