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Handy – Free open source speech-to-text app

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Re: Handy – Free open source speech-to-text app

#43
post #22

Earlier quoted context omitted.

I use it all the time with coding agents, especially if I'm running multiple terminals. It's way faster to talk than type. The only problem is that it looks awkward if there are others around.

Interesting. I can think and type faster, but not talk. I am not much of a talker.

Same, whenever I try to dictate something I always umm and ahhh and go back a bunch of times, and it's faster to just type. I guess it's just a matter of practice, and I'm fine when I'm talking to other people, it's only dictation I'm having trouble with.

Re: Handy – Free open source speech-to-text app

#44
Love it. I had been searching for STT app for weeks. Every single app was either paid as a one off or had a monthly subscription. It felt a bit ridiculous having to pay when it’s all powered by such small models on the back end. So I decided to build my own. But then I found “Handy” and it’s been a really amazing partner for me. Super fast, super simple, doesn’t get in my way and it’s constantly updated. I just love it. Thanks a lot for making it! Thanks a lot

P.S. The post processing that you are talking about, wouldn’t it be awesome.

Re: Handy – Free open source speech-to-text app

#45

Has anyone compared this with https://github.com/HeroTools/open-whispr already? From the description they seem very similar. Handy first release was June 2025, OpenWhispr a month later. Handy has ~11k GitHub stars, OpenWhispr has ~730.

I did have tried, but the ease of installing handy as just a macOS app is so much simpler than needing to constantly run in npm commands. I think at the time when I was checking it, which was a couple of months ago they did not have the parakeet model, which is a non-whisper model, so I had decided against it. If I remember correctly, the UI was also not the smoothest.

Handy’s ui is so clean and minimalistic that you always know what to do or where to go. Yes, it lacks in some advanced features, but honestly, I’ve been using it for two months now and I’ve never looked back or searched for any other STT app.

Re: Handy – Free open source speech-to-text app

#47

On a M4 Macbook Air, there was enough lag to make it unusable for me. I hit the shortcut and start speaking but there was always a 1-2sec delay before it would actually start transcribing even if the icon was displayed.

Yes, I’ve got the same situation too. I kind of learned to wait for one or two seconds before talking. I am using it with the AirPods, so maybe it’s indeed the Bluetooth thing.

Re: Handy – Free open source speech-to-text app

#48
post #34

This looks great! What’s missing for me to switch from something like Wispr Flow is the ability to provide a dictionary for commonly mistaken words (name of your company, people, code libraries).

There’s a PR for this which will be pulled in soon enough, I can kick off a build of the PR if you want to download a pre release version

Okay so it's more directly text replacements

https://github.com/cjpais/Handy/actions/runs/21025848728

There is also LLM post processing which can do this, and the built in dictionary feature

Re: Handy – Free open source speech-to-text app

#49
It’s incredibly fast on my MacBook m1 air and more accurate that the native speech to text.

The ui is well thought out, just the right amount of setting for my usage.

Incredible !

Btw, do you know what « discharging the model » does ? It’s set to never by default, tried to check if it has an impact on ram or cpu but it doesn’t seem to do anything.

Re: Handy – Free open source speech-to-text app

#50
post #33

I have dystonia which often stiffens my arms in a way that makes it impossible for me to type on a keyboard. TTS apps like SuperWhisper have proven to be very helpful for me in such situations. I am hoping to get a similar experience out of "Handy" (very apt maming from my perspective). I do, however, wonder if there is a way all these TTS tools can get to the next level. The generated text should not be just a verba…

There’s lots of existing work on “coding by voice” long before LLMs were a thing. For example (from 2013): http://xahlee.info/emacs/emacs/using_voice_to_code.html and the associated HN discussion (“Using Voice to Code Faster than Keyboard”): https://news.ycombinator.com/item?id=6203805

There’s also more recent-ish research, like https://dl.acm.org/doi/fullHtml/10.1145/3571884.3597130

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