71–80 of 233 posts
Speech-to-text has become integral part of my dev flow especially for dictating detailed prompts to LLMs and coding agents. I have collected the best open-source voice typing tools categorized by platform in this awesome-style GitHub repo. Hope you all find this useful! https://github.com/primaprashant/awesome-voice-typing
This thread is a support group for people who have each independently built the same macOS speech-to-text app.
Oh to be 20-something and do a bunch of free work for your portfolio again
But I did it because I wanted it to work exactly the way I wanted it.
Also, for kicks, I (codex) ported it to Linux. But because my Linux laptop isn't as fast, I've had to use a few tricks to make it fast. https://github.com/obra/pepper-x
That’s awesome! Do you know how it compares to Handy? Handy is open source and local only too. It’s been around a while and what I’ve been using. https://github.com/cjpais/handy
I’d also be interested to know what the impetus was for developing ghost-pepper, which looks relatively recent, given that Handy exists and has been pretty well received. Extra bonus is that Handy lets add an automatic LLM post-processor. This is very handy for the Parakeet V3 model, which can sometimes have issues where it repeats words or makes recognition errors for example, duplicating the recognition of a single…
"You know what would be useful?" followed by asking your LLM of choice to implement it.
Then again for a lot of scenarios it's your slop or someone else's slop.
I think the only difference is that I keep my own slop tools private.
always mac. when windows? why can you just make things multios
Also, on a Mac with 32GB of RAM, 24GB of that (75%) is available to the GPU, and that makes the models run much faster. On my 64GB MacBook Pro, 48GB is available to the GPU. Have you priced an nvidia GPU with 48GB of RAM? It’s simply cheaper to do this on Macs.
Macs are just better for getting started with this kind of thing.
This thread is a support group for people who have each independently built the same macOS speech-to-text app.
My 2021 Google Pixel 6, when offline, can transcribe speech to text, and also corrects things contextually. it can make a mistake, and as I continue to speak, it will go back and correct something earlier in the sentence. What tech does Google have shoved in there that predates Whisper and Qwen by five years? And why do we now need a 1Gb of transformers to do it on a more powerful platform?
That’s awesome! Do you know how it compares to Handy? Handy is open source and local only too. It’s been around a while and what I’ve been using. https://github.com/cjpais/handy
I like that openwhisper lets me do on device and set a remote provider.