91–100 of 159 posts
I’m beginning to like the idea in this space — local first with a backup with your own tool. Recently, https://hyprnote.com was popular here on Hacker News and it is pretty good. They also do the same, works local-first but you can use your preferred tool too.
> I’m basically obsessed with local-first open-source software. We all should be.
Does this functionality exist on iOS ? I'm looking for an iOS app that wraps Parakeet or whisper in a custom iOS keyboard. That way I can switch to the dictation keyboard, press dictate, and have the transcription inserted in any application (first or third party). MacWhisper is fantastic for macOS system dictation but the same abilities don't exist on iOS yet. The native iOS dictation is quite good but not as accura…
superwhisper has that functionality.
> "I think there should be an open-source, local-first version of every app, and I would like them all to work together. The idea of Epicenter is to store your data in a folder of plaintext and SQLite, and build a suite of interoperable, local-first tools on top of this shared memory. Everything is totally transparent, so you can trust it." Yes! This. I have almost no experience w/ tts, but if/when I explore the spac…
Earlier quoted context omitted.
Not yet, but I want it too! Parakeet looks incredible (saw that leaderboard result). My current roadmap is: finish stabilizing whisper.cpp integration, then add Parakeet support. If anyone has bandwidth to PR the connector, I’d be thrilled to merge it.
Unfortunately, because it's Nvidia, parakeet doesn't work with Whisper.cpp as far as I'm aware. You need onnx
Are there any speech-to-text models that are fully OSS for everything from training data/code to model weights? https://salsa.debian.org/deeplearning-team/ml-policy
Looks like a really cool project. Do you have any opinions on which transcription models are the best, from a quality perspective? I have heard a lot of mixed opinions on this. Curious what you've found in your development process?
Earlier today I discovered Vibe: https://github.com/thewh1teagle/vibe Local, using WhisperX. Precompiled binaries available. I'm hoping to find and try a local-first version of an nvidia/canary like (like https://huggingface.co/nvidia/canary-qwen-2.5b ) since it's almost twice as fast as Whisper with even lower word-error-rate
I've been interested in dictation for a while, but I don't want to be sending any audio to a remote API, it all has to be local. Having tried just a couple of models (namely the one used by the FUTO Keyboard), I'm kinda feeling like we're not quite there yet. My biggest gripe perhaps is not being able to get decent content out of a thought stream; the models can't properly filter out the pauses, "uuuuhmms", and much…
Have you tried Whisper itself? It's open-weights. One of the features of the project posted above is "transformations" that you can run on transcripts. They feed the text into an LLM to clean it up. If you're willing to pay for the tokens, I think you could not only remove filler-words, but could probably even get the semantically-aware editing (corrections) you're talking about.
Really nice! For OsX there is also the great VoiceInk which is similar and open-source https://github.com/Beingpax/VoiceInk/
Very similar and works well. It’s a bring your own API key if you want/need. Also with local whisper.