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Transcribe.cpp

workshop.cjpais.com

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Re: Transcribe.cpp

#81

Post by jiehong »

abdullahkhalids wrote: post #46

For anyone looking to build on top of this. I have tried a few different STT systems, and they accurately capture what I am saying. Unfortunately, they don't support the reasonable workflow I want to open an office document, for example, and start talking. And I want the software to continuously type what I am saying at the cursor with minimal latency. The continuous part is crucial. Many software will paste whatever…

> The continuous part is crucial. Many software will paste whatever I said after I have stopped recording, but that is not useful.

It really depends on how one uses transcription.

For example, I really value being able to open different windows, and look at graphs, or scroll some data while I'm dictating, because it can help me with providing some support information for what I'm saying.

Some apps can even take into account things you copy or look at as part of the transcription's context to improve the results [0].

[0]: https://superwhisper.com/docs/common-issues/context#types-of...

Re: Transcribe.cpp

#82

Post by JeremyHerrman »

Another happy user of Handy here!

After seeing so many *subscription based* transcription apps all wrapping *open source models*, finding Handy was a real delight and I'm happy to see the author keep on building!

Re: Transcribe.cpp

#83

Post by luciana1u »

three separate people in this thread independently remembered Dragon NaturallySpeaking and I think that is the funniest possible review of the state of speech recognition in 2026

Re: Transcribe.cpp

#84

Post by rcarmo »

sipjca wrote: post #42
zaptheimpaler wrote: post #41

Amazing, i've been looking for something like this and ended up doing transcription + diarization on a local server for now. Are you looking for contributions? Have you tried this one for diarization - https://huggingface.co/pyannote/speaker-diarization-communit... - it performed much better than Sortformer for me.

Contributions are always welcome! There’s a WIP diarization PR rn, and after it’s merged would love to have support if it fits well into the interface. And if not would love to figure out a good interface for it

Yeah, diarization is the real feature these days. STT needs uniformization, but quality of diarization is what is setting personal solutions apart in this field.

Re: Transcribe.cpp

#85

Post by sneak »

nohup2 wrote: post #75
sneak wrote: post #66

Earlier quoted context omitted.

OS-native dictation on iOS requires uploading your address book to Apple on every request, even if you don’t use iCloud. I unfortunately have to leave it disabled for this reason.

Are you sure? Just tested it and it works locally and offline

It says right on it when you enable it:

> Dictation sends information like your voice input, contacts, and location to Apple when necessary for processing your requests.

Re: Transcribe.cpp

#86

Post by sipjca »

ctas wrote: post #78

I'm using Handy on macOS and love it. Unfortunately, hotkeys still doesn't seem to work on Wayland, which make it unusable.

Yeah I’m working on it, Linux is a big pain point especially Wayland

Once things are more or less ironed out on MacOS and Windows a lot of attention will be turned towards Linux

I know a lot of Linux PRs are open it just takes me so long to get around and test them. And often multiple different implementations trying to fix similar issues which is a lot of overhead sometimes

Re: Transcribe.cpp

#87

Post by ChadNauseam »

boplicity wrote: post #5
aarvin_roshin wrote: post #3

Spot on: > I think as we look forward to the future, more inference will start happening locally for one reason or the other. This brings the distribution story front and center. In order to have more applications running inference locally, we need to make running inference easier. This makes these projects so much more trustworthy and easier to approach: > Were any of the words here written using AI? Nope. They came…

>This makes these projects so much more trustworthy and easier to approach: >> Were any of the words here written using AI? Nope. They came from my mouth or my fingers. I have to push back on this a bit, as I believe (quite strongly) that we're shaped by the tools we use; text-to-speech LLMs are still LLMs, and generally their mistakes are shaped by the expectations inherent in their training. This, in turn, shapes t…

Parakeet, probably the most popular model for handy-style transcription, doesn't include a "text-to-speech LLMs" or any other form of LLM

Re: Transcribe.cpp

#88

Post by remuskaos »

atonse wrote: post #62
nilslindemann wrote: post #54

Earlier quoted context omitted.

It may be interesting to have it immediately insert the words, even if they are wrong, and when a sentence is finished, replace what has been written with the final corrected sentence.

Google released this awkwardly named app called edge eloquent recently that does exactly that. In fact, it cleans up the entire paragraph that you just said, and even if you have meandering thoughts, it cleans those up too. Actually, this above statement was fully dictated with iOS and it added all the punctuation automatically, so I think that iOS is also doing some of this natively. In fact, I’m on the iOS 27 beta…

This sounds fantastic, but I'm utterly surprised that Google, of all companies, only releases this for macOS and iOS, but not Android.

Re: Transcribe.cpp

#89

Post by mft_ »

sipjca wrote: post #48
abdullahkhalids wrote: post #46

For anyone looking to build on top of this. I have tried a few different STT systems, and they accurately capture what I am saying. Unfortunately, they don't support the reasonable workflow I want to open an office document, for example, and start talking. And I want the software to continuously type what I am saying at the cursor with minimal latency. The continuous part is crucial. Many software will paste whatever…

You can fairly easily modify [Handy]( https://handy.computer ) to do this if you want I’m planning on having it as a first class feature of the app too just too many other issues to work on first

I’m really glad to hear this!

A while ago, I auditioned about 10 different STT apps on my Mac, with this realtime/streaming transcription as a goal. I failed to find that feature in an app I was happy with, but settled on Handy as the best option otherwise. So if Handy adds this, it will be perfect!

Re: Transcribe.cpp

#90

Post by mft_ »

atonse wrote: post #62
nilslindemann wrote: post #54

Earlier quoted context omitted.

It may be interesting to have it immediately insert the words, even if they are wrong, and when a sentence is finished, replace what has been written with the final corrected sentence.

Google released this awkwardly named app called edge eloquent recently that does exactly that. In fact, it cleans up the entire paragraph that you just said, and even if you have meandering thoughts, it cleans those up too. Actually, this above statement was fully dictated with iOS and it added all the punctuation automatically, so I think that iOS is also doing some of this natively. In fact, I’m on the iOS 27 beta…

I tried this on my Mac soon after launch and it was consuming a significant amount of processor cycles even just sitting idle in the menu bar. (From memory, ~20% of an M1 Max.)

It may have been an early issue but with no obvious way to interact and report the issue and, eh, Google’s general attitude around customer satisfaction, I just gave up and deleted it again.

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