Quickly and easily transcribe audio files into text with OpenAI's state-of-the-art transcription technology Whisper. Last week I made a very easy to use Mac app to solve this, MacWhisper! Rap songs, low quality recordings, multi language conversations, everything seemed to work really well! Unfortunately the setup process required you to install a bunch of dependencies to then have to use Terminal for transcribing audio. When OpenAI released Whisper last year ( ) I was blown away by how good it was at speech to text. This subreddit is not endorsed or sponsored by Apple Inc. If you'd like to view their content together, click here. This fundamental difference in audience is why we support two communities, r/Apple and r/AppleHelp. Apple SubredditsĬontent which benefits the community (news, rumors, and discussions) is valued over content which benefits only the individual (technical questions, help buying/selling, rants, etc.). Not sure what to buy?Īsk in our Daily Advice Thread or in our dedicated sister sub /r/AppleWhatShouldIBuy! See also the iPhone Upgrade Wiki for more information. Comments that are spreading COVID vaccine misinformation/claims are not allowed.Ĭheck here to see if any Apple services are down.These belong in the beta subreddits listed below. The proper place for advice is /r/AppleWhatShouldIBuy. No posts or comments relating to buying, selling, trading, giveaways or asking for advice about any of those topics.No content related to piracy or illegal activities.Before posting, read the detailed rules here. Self-promotion is allowed on Sundays only, strictly reserved for app developers and must be in the form of a self-post. We may approve your post if it is a high-level issue that can't be found through searches, or if it affects a large amount of people. No support questions outside of the Daily Advice Thread.No posts that aren’t directly related to Apple or the Apple eco-system.No rude, offensive, or hateful comments.No editorialized link titles (use the original source's title if applicable).Posts must foster reasonable discussion.No memes, direct images or contextless image/video posts.If you have a tech or buying/selling-related question, please check out our Daily Advice Thread or r/AppleHelp! CommunityĪ more in-depth version of the rules can be found here More details can be found here.Welcome to r/Apple, the unofficial community for Apple news, rumors, and discussions. However, it is recommended to run it on a Mac powered by the M1 chip or greater. The tool works with Macs running macOS Monterey and later. However, those who want the Medium and Large transcription models must purchase MacWhisper Pro for €10. But of course, users can choose the transcription model that best suits their needs. The Medium and Large models offer more accurate transcriptions, but take up more Mac storage space. Since the app processes the audio files locally, it comes with four different transcription models: Tiny, Base, Medium, and Large. This includes English, Chinese, German, Spanish, Italian, Portuguese, and Ukrainian. The tool works with MP3, WAV, M4A audio files, and also with MP4 video files.īut one of the best things about MacWhisper is that the transcription works with multiple different languages. The whole process is very quick, and once the transcript is available, you can copy and edit the text, or even export it as SRT and VTT subtitles. You just drag audio files into the app to get a transcript. Using MacWhisper is quite simple and intuitive. MacWhisper runs locally on your Mac, so your files never leave your device and you don’t have to pay for Whether you’re recording a meeting, lecture, or other important audio, MacWhisper quickly and accurately transcribes your audio files into text. Quickly and easily transcribe audio files into text with OpenAI’s state-of-the-art transcription technology Whisper. In other words, no one has access to the audio files you transcribe, which makes the whole process private and secure. All processing is done locally on the Mac, which means that your audio files are never sent to an online server. The app uses the “state-of-the-art” Whisper technology, which is part of OpenAI. As mentioned before, this new app is capable of understanding what’s being said in audio files to transform that into text. However, MacWhisper has a completely different purpose than Vivid. MacWhisper was developed by Jordi Bruin, who’s also behind Vivid – a tool that enables system-wide HDR on compatible MacBooks and external displays. MacWhisper locally transcribes audio files on Mac But now there ‘s a new macOS app called MacWhisper that uses OpenAI technology to locally transcribe audio files into text. We’ve seen the use of AI tools for a lot of things recently, like generating text and images from simple sentences.
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