I've been using MacWhisper for this, with a huge variety of transcription options and things like speaker detection. It works great for all the 1 hour and shorter videos I've fed it, but does this have more to offer?
I haven't tried a 4+ hour video with MacWhisper but I presume that would work the same.
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.
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.
So, can it handle multiple languages in one video, or do you need to segment the different languages using LID first? This has been a thorny issue for people working in multilingual audio (there are at least two or three of us).
I haven't test that specific edge case, I'm sorry. I tested 2 langue's having a normal conversation and that worked fine- "Auto or English" handle multiple lan the best
You use the word "transcribe" but the page doesn't appear to support that claim? This looks like straightforward STT? Or does it actually support transcription (diarization, etc.)?
(Also, the text is completely illegible on your site.)
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
FYI it works now because I just brought it up. The website mentions there were HN promo/discount codes, so I honestly expected the app to be like $20+, so color me shocked when it's $3.99.
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
I haven't worked in a while with transcription, but whisper.cpp itself (which I assume is the underlying tech behind MacWhisper) does realtime transcription on my MBP with an M1 Pro chip. When I first started writing my last completed novel, I fired it up and just started telling the story to test it out. Realtime.
That was back in 2023. I assume things work better now.
"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.
This is just plain wrong. I have my own Whisper App in the AppStore (on iOS, with very limited memory capacity) and there are no problems at all with longer Audio / Video files.
Yes, but by a negligible margin. My program is designed for multi-track audio, which means I run this in parallel on multiple 3 hour recordings, and get results in 12 minutes.
You haven’t shared any architectural details. What model? What size? How can anyone be sure that what you’re building is truly offline?
What does that even mean? Why would OSS make it slower? Why would it be an overkill?
This is not Producthunt, you have to give at least some kind of explanation for your claims.
What language do you have the model architecture and implementation in? Feel like it would be the biggest proportion of the codebase, curious if you did it in Swift?
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. ;-)
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.
Thanks. An update that will add functionality that allows a user to give it a link that contains web video, will do dynamic link discovery (with Safari extension, and pull in the video automatically (M3U8 discover and retrieval) -- Lots of online lecture videos that need transcription.
I will include better version support (probably to os 13).
Ah, I think you're asking if a user can, when wanting timestamps, if they can further edit the output to be by word?
Currently set around each sentence (2-5s) --- But that is absolutely doable and that’s a great idea - On the next update (~3-4wks) I’ll definitely include the ability to control that.
I've been using MacWhisper for this, with a huge variety of transcription options and things like speaker detection. It works great for all the 1 hour and shorter videos I've fed it, but does this have more to offer?
I haven't tried a 4+ hour video with MacWhisper but I presume that would work the same.
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.
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.
You can also run Whisper locally in your browser for free: https://ggml.ai/whisper.cpp/
Great when you have time to kill and not a lot to process I suppose
What languages does this support? Does it support switching between multiple languages in one video?
For example, could it support a video that included spoken Latin, ancient Greek, German, and Italian?
So weird that this is nowhere stated on the website at all. Was literally the first and only thing I was interested in. So bad.
eng der fr de es it pt ru zh ko ar and ja
So, can it handle multiple languages in one video, or do you need to segment the different languages using LID first? This has been a thorny issue for people working in multilingual audio (there are at least two or three of us).
I haven't test that specific edge case, I'm sorry. I tested 2 langue's having a normal conversation and that worked fine- "Auto or English" handle multiple lan the best
Does it support speaker diarization?
You use the word "transcribe" but the page doesn't appear to support that claim? This looks like straightforward STT? Or does it actually support transcription (diarization, etc.)?
(Also, the text is completely illegible on your site.)
r/#FF0000_rage
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
Is it only for English? is CLI available? There are thousands of files on my local and I'd like to save results to local db. Thanks!
Seconding/thirding the request for diarization! I would use this as my main transcription app if it had that.
I use it as my own transcription app, I really do love it ( biased I know, but genuinely)
Does it do separate speaker identification (diarization)?
What's the stack, if I may ask? (I believe Whisper-X does the diarization thing)
Question: can it discern (and label) different speakers? If so, could you kindly share the limit on speakers per video?
MacWhisper Pro supports this, if your need for this is time-sensitive. https://macwhisper.helpscoutdocs.com/article/32-automatic-sp...
You are looking for speaker diarization. No one is doing this well currently on device (in macOS land at least).
No, not yet! That will definitely be included in the next update next month. Thank you for reminding me of peoples unique need for this use case
Timecode drift is an interesting issue, think I faced this recently while translating a Google Meet transcript into an incident report timeline.
The elapsed-time timestamps didn't correlate well with other data sources. I figured it was a mistake on my end, and just brushed it off.
Will it transcribe audio in Czech (in future versions)?
Actually I would be happy if it could just identify occurrences (timestamps) of a specific word or a small set of words.
App Store link no longer works. Willing to try/purchase but it's nowhere available. AppStore search doesn't return "Scriber Pro" either.
Thanks.
FYI it works now because I just brought it up. The website mentions there were HN promo/discount codes, so I honestly expected the app to be like $20+, so color me shocked when it's $3.99.
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 makes it fast and prevents it from crashing? What does that mean?
I've done 3+hours with MacWhisper without issue? One downside is the transcription is not real time - can Scriber Pro do realtime?
I haven't worked in a while with transcription, but whisper.cpp itself (which I assume is the underlying tech behind MacWhisper) does realtime transcription on my MBP with an M1 Pro chip. When I first started writing my last completed novel, I fired it up and just started telling the story to test it out. Realtime.
That was back in 2023. I assume things work better now.
I am a MacWhisper Pro user, and I successfully transcribed and translated a 15-hour course inside the app without any issues
"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.
This is absolutely not my experience. I regularly (weekly at least) use whisper for 90-120 minutes pieces of content and only rarely have problems.
Can't really declare that without declaring which whisper model in particular you are referring to, as there are a number of them
This is just plain wrong. I have my own Whisper App in the AppStore (on iOS, with very limited memory capacity) and there are no problems at all with longer Audio / Video files.
I've never had whisper complete a single attempt a anything over 75 min
I’ve used whisper-cop on 5-hour podcasts without problems.
Would also love to hear what you mean by “smart invisible regex,” sounds like AI slop to me.
> MacWhisper crashes at about an hour of context.
This is not true. (I've been a MacWhisper user since 2023. I have two bugs during that time, which the author addressed quickly.)
> 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
What do you mean context limit?
Neither whisper nor MacWhisper have any context limit
I vibecoded a similar app. Here’s the open source link, if folks want to build their own:
https://github.com/naveedn/audio-transcriber
Slower
Yes, but by a negligible margin. My program is designed for multi-track audio, which means I run this in parallel on multiple 3 hour recordings, and get results in 12 minutes.
You haven’t shared any architectural details. What model? What size? How can anyone be sure that what you’re building is truly offline?
Yours isn't OSS, meaning I have no idea what I'm running
OSS would be incredibly slow, also seems like overkill for this use case
I was going to buy the app, but these responses are putting me off massively. How would making it OSS slow it down?
I suspect, from the responses of the creator here, that this app they are selling is likely violating a number of open source licenses…
the obnoxious site deisgn and comments like this stopped me from clicking buy in the apple store
What does that even mean? Why would OSS make it slower? Why would it be an overkill? This is not Producthunt, you have to give at least some kind of explanation for your claims.
OSS as in open source software. Not Open Sound System. Just in case.
Can you back up your claim that it's slow?
Nice work. What model did you use and do you ship the model with a base distribution or is it downloaded with the app?
Probably NVIDIA’s Parakeet-TDT-0.6b-v3.
What is your tech stack to make this? Is it end to end swift?
Swift 37.0% C++ 26.5% C 19.8% Rust 4.7% Shell 4.4% Objective-C 1.7% Other 5.9%
What language do you have the model architecture and implementation in? Feel like it would be the biggest proportion of the codebase, curious if you did it in Swift?
What libraries/models is this built on?
My eyes, my eyes! What is this red colour?
Cool project, I am using ChatGPT for recording/summarising meetings but the limit there is 2 hours
That my friend, is just one of the annoying bottlenecks, that inspired me to do this
Also that color is color(display-p3 .768627 .031373 .031373 / 1)- It is actually technically redder than red actually is
Is there a reason it requires macOS 26?
Uses liquidGlass fairly heavily- just design reasons-- I'm happy to expand compatibility
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. ;-)
Same! I was trying to buy but wasn't able to.
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.
Do you have a mailing list?
Wanted to buy. Not on Macos 26.
Tahoe really is just unusable
Thanks. An update that will add functionality that allows a user to give it a link that contains web video, will do dynamic link discovery (with Safari extension, and pull in the video automatically (M3U8 discover and retrieval) -- Lots of online lecture videos that need transcription.
I will include better version support (probably to os 13).
Hence why I'm asking why it requires it. Trying to hold off as long as I can!
Any way to access this with python so I can use it programmatically?
This isn't run using Python, but also no
Too bad it requires that unspeakable abomination macOS 26. No can do.
Word level timestamps?
Ah, I think you're asking if a user can, when wanting timestamps, if they can further edit the output to be by word? Currently set around each sentence (2-5s) --- But that is absolutely doable and that’s a great idea - On the next update (~3-4wks) I’ll definitely include the ability to control that.
Can you clarify your question
I think they are trying to do something like select a word in the transcript and be take straight to the point in the video that said word was spoken
I sort of use SuperWhisper, it is sort of good. https://superwhisper.com/
[stub for offtopicness]
MY EYES
Red was a bold choice ill admit
That page has a very aggressive background color and really low contrast. Extremely annoying.
Thank you ! I think I was actually going for that
You were going for *really low contrast* ? That's an interesting goal to have.