Here are my results using Aiko on my iPhone 13 Mini.
I imported a 23MB mp3 file of an HOA meeting which was about 50 minutes in length and recorded using the RecUp app on my 13 Mini and housed in a Dropbox folder. The process started smoothly but I will caution folks that it actually takes longer to transcribe than the actual meeting length at least on an iPhone 13 Mini. In fact, I think my initial test might have been too ambitious because after running for about an hour and a half and getting 80% complete, the app stopped and I lost what had been transcribed. My iPhone got very warm during the process and my battery went from about 80% charge to 20% before I realized I needed to plug it into a power adapter at about 60% of the way through transcription. I’m just noting this for those attempting to transcribe a meeting of any length. I next transcribed a much shorter doctor’s visit recording of an mp3 file also made with the RecUp app. This recording was only 1.2MB in size and the recording was less than 10 minutes in length. I’ll not comment on the amount of time I spent waiting to see that doctor versus the length of the actual meeting. I will say that Aiko did a great job of transcription which I exported as a CSV file to the same Dropbox folder as the source recording. When opened in Excel, the CSV file is 3 columns of information with column 1 containing the recording start time, column 2 containing the recording stop time, and column 3 containing the transcribed text from that recording period. I ended up with 60 rows of transcribed text and the results were excellent. I’ll try Aiko on a longer meeting to see if I’m successful without a crash and will report back the results. I will make sure my iPhone is plugged in before beginning a longer transcription process. Alan Lemly From: viphone@googlegroups.com <viphone@googlegroups.com> On Behalf Of Kelly Ford Sent: Sunday, April 30, 2023 10:04 PM To: viphone@googlegroups.com Subject: Re: Aiko, new audio to text iOS app From Applevis.com Interesting app. I tried it on the most recent episode of my podcast from tptbnl.com <http://tptbnl.com> . I usually use Office Online’s transcription feature and more recently the same technology added to Word For Windows. The positive, this is very accurate. It seems to take as long as the audio file is though. My 52 minute audio file is at 40% and has taken 20 minutes so far. That is on an iPhone 10R so newer models may be faster. Looking in settings, I find that you can have timestamps for the transcript but I don’t see the ability at this point to have speaker identification. You can record audio or import from your iPhone or different online services. Overall, this is pretty impressive to get this level of transcription accuracy on the phone. Kelly On Apr 30, 2023, at 6:50 PM, Richard Turner <richardr_tur...@comcast.net <mailto:richardr_tur...@comcast.net> > wrote: I read about this today in the AppleVis newsletter. Note, the app is 2 GB in size. I have not tried it, but I know some folks have wanted a good transcription app from audio to text. Description from the app store followed by the link. High-quality on-device transcription. Easily convert speech to text from meetings, lectures, and more. The transcription is powered by OpenAI's Whisper running locally on your device. The audio never leaves your device. You can export the transcription as subtitles too. Aiko favors accuracy over speed. Supports 100 different languages: Afrikaans, Albanian, Amharic, Arabic, Armenian, Assamese, Azerbaijani, Bangla, Bashkir, Basque, Belarusian, Bosnian, Breton, Bulgarian, Burmese, Catalan, Chinese, Croatian, Czech, Danish, Dutch, English, Estonian, Faroese, Finnish, French, Galician, Georgian, German, Greek, Gujarati, Haitian Creole, Hausa, Hawaiian, Hebrew, Hindi, Hungarian, Icelandic, Indonesian, Italian, Japanese, Javanese, Kannada, Kazakh, Khmer, Korean, Lao, Latin, Latvian, Lingala, Lithuanian, Luxembourgish, Macedonian, Malagasy, Malay, Malayalam, Maltese, Marathi, Mongolian, Māori, Nepali, Norwegian, Norwegian Nynorsk, Occitan, Pashto, Persian, Polish, Portuguese, Punjabi, Romanian, Russian, Sanskrit, Serbian, Shona, Sindhi, Sinhala, Slovak, Slovenian, Somali, Spanish, Swahili, Swedish, Tagalog, Tajik, Tamil, Tatar, Telugu, Thai, Tibetan, Turkish, Turkmen, Ukrainian, Urdu, Uzbek, Vietnamese, Welsh, Yiddish, Yoruba The app was made possible thanks to Whisper by OpenAI and whisper.cpp by Georgi Gerganov. ■ FAQ ‣ Can I edit the text in the app? I don't plan to support any editing. Export the transcription and edit it in a proper text editor. ‣ Why is the app so large? The app delivers the highest quality transcription on the market for 100 different languages. Rather than asking why it's so large, the real question is how is it so small. ‣ Why is the transcription so slow? The favors accuracy over speed. However, performance is expected to improve in the coming months. ‣ Can I delete some of the languages to save space? This is unfortunately not possible. The model has all the languages stored together in a way that makes it impossible to remove just some languages. 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