Recently, many different uses of AI tools have come to light, including the creation of text and graphics from simple words. However, a brand-new MacWhisper program for the macOS operating system leverages OpenAI technology to locally translate audio files into text.
Jordi Bruin, the creator of Vivid, a utility that enables system-wide HDR on compatible MacBooks and external monitors, also developed MacWhisper. But MacWhisper serves an entirely different function than Vivid. As previously indicated, this new tool has the ability to translate spoken words from audio files into text.
“State-of-the-art” is the technology used by an app that is all its own. The whole process of turning the audio into text is processed within the app, which means none of your data is shared with any of the online servers. No one other than you can get access to these files, as it is a private process as a whole.
This latest feature helps you turn in your audios into texts efficiently and easily. If you’re recording a lecture, meeting presentation, or any other important audio, it will precisely turn that audio into the text. This app runs casually on your Mac devices, so you don’t even need to pay for them.
The process of turning audio files into text is as simple as it sounds. You just drag a file into the app, and you’ll get a transcript quite easily. The process is quite efficient and allows its users to even edit the transcript once it’s done. It also provides support for SRT and VTT formats. This feature can easily work with the following audio formats:
Even more exciting about this feature is that it can generate your transcript through the translation of multiple languages, including English, Chinese, German, Spanish, Italian, Portuguese, and Ukrainian.
There are four types of transcript models that are used by the app: tiny, base, medium, and huge. Medium and huge work out best, but will take up more of your storage. This format is selectable by the user. In general, it’s a free app. For users who need it for medium and large models, they need to purchase it for €10. The app is best compatible with an M1 chip or more than that.
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