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Show HN: Scriber Pro – Offline AI transcription for macOS

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Re: Show HN: Scriber Pro – Offline AI transcription for macOS

#91

Post by rezivor »

mattstudio wrote: post #89

One thing that Rev and other online services have as well as MacWhisper is a good interface for editing the text to correct inevitable errors. Being able to click on the text and have it sync to the correct place in the audio is a must for my use case of transcribing interviews. Also speaker diarization.

Scribers’ iCloud system automatically backs up each transcription and organizes them in a three-pane folder view—somewhat inspired by Bars’ layout. This structure allows a surprising degree of customization for all your data needs, especially when transcribing interviews. It would probably make for a very comfortable workflow here

Re: Show HN: Scriber Pro – Offline AI transcription for macOS

#93

Post by pmarreck »

rezivor wrote: post #38
fl_rn_st wrote: post #29

Earlier quoted context omitted.

"Smart, invisible regex" sounds like a lot of bs... could you give a more technical explanation? Also the Whisper model doesn't really have a context window, it already segments the audio with a certain amount of overlap between the chunks, I really have a hard time understanding what you are trying to say here.

Whisper will fail > 99%* (edit, most of the time) of the time at lengths over 90 minutes and fairly high over one hour.

Can't really declare that without declaring which whisper model in particular you are referring to, as there are a number of them

Re: Show HN: Scriber Pro – Offline AI transcription for macOS

#94

Post by pmarreck »

rezivor wrote: post #4
nubg wrote: post #3

How does it compare to MacWhisper?

MacWhisper crashes at about an hour of context. This uses, smart, invisible regex in the text generation pipe. Makes this fast. + bonus, there is no context limit

> Smart invisible regex

I've never heard a regex person speak this way of a regex.

Please tell me you didn't vibecode the regex... one of the areas it's still not good at

Re: Show HN: Scriber Pro – Offline AI transcription for macOS

#97

Post by busymichael »

As a side project, I just launched a privacy-first web-based meeting transcriber (https://basilai.app/app). Everything runs entirely in your browser — both the transcription and AI summarization — so no audio or text ever leaves your device.

I'm using the browser built in transcription service plus downloading a model and running it via webgpu. No login. At the end of your meeting, you get a zip file with the audio, transcript and summary.

Re: Show HN: Scriber Pro – Offline AI transcription for macOS

#98

Post by lostlogin »

gcr wrote: post #68
rezivor wrote: post #41

Earlier quoted context omitted.

Please be my guest to test my claims. No tall tales here!

MacWhisper handles multiple-hour-long recordings just fine for me. I regularly process 4hrs on MacWhisper. Even whisper-cpp works fine these days for long recordings too. Cool product, but it would be better if you stopped spreading misinformation to support it.

> Cool product, but it would be better if you stopped spreading misinformation to support it.

I don’t see this sort of thing, has the page changed? Edit: the comments here…

The drop shadow on the pages does make it deeply unpleasant to read.

Re: Show HN: Scriber Pro – Offline AI transcription for macOS

#100

Post by busymichael »

rezivor wrote: post #63
trvr wrote: post #17

Earlier quoted context omitted.

At $3.99 this was an instant buy for me until the App Store told me I couldn't. I think the venn diagram between HN users and those holding off on Tahoe is probably a pretty big overlap. ;-)

If ever there were a reason to upgrade! But thats a fair point- I drank the Liquid Glass Kool-Aid----- I'll aim more compatibility the next upgrade

My experience share only supporting the latest OS:

I have launched apps focused on a new feature in the latest OS and regretted it. The # of people who have the latest OS is much smaller than the full install base for much longer than I thought. As a result, my marketing conversion was unnaturally low - people who liked the app idea but couldn't install because they had the wrong OS. This causes two problems: potential users I activated but couldn't convert and this signal gets internalized by the App Store, pushing down future impressions.

Now I always have a fallback implementation of the feature so I can target the prior OS. Both Mac and iOS.

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