cjpais/Handy

For essentially infinite and fast dictation I use https://github.com/cjpais/Handy on Parakeet streaming (cohere is far better, but slower and has a token output limit so you cant ramble for many minutes). And then just do a cleanup pass with a cheap LLM, it will in my experience, do far better than trying to voice control to go edit a sentence or change words. I just weave instructions into my writing. I understand this requires technical know-how, but for those with it, this is the best solution I have found to long form writing without my hands.

Obligatory mention of Handy which is open-source and cross-platform: https://github.com/cjpais/Handy It's great for me when configured to use Parakeet v3.

I use Parakeet V3 via this tool and it is actually quite reliable for me (in English): https://github.com/cjpais/Handy

Them you are free to not install them? Why ban them outright? I'm using https://github.com/cjpais/Handy whichseems to be doing exactly what this app does, and has a very similar background story (author couldn't type die to injury).

FWIW - I also really like Wispr Flow, but I moved to running the 'Whisper Large' model locally using Handy ( https://github.com/cjpais/Handy ), which has been essentially as good, while also having lower latency.

Hi all! Check out this Handy app https://github.com/cjpais/Handy - a free, open source, and extensible speech-to-text application that works completely offline. I am using it daily to drive Claude and it works really-well for me (much better than macOS dictation mode).

I use the open source Handy [1] app with Parakeet V3 for STT when talking to coding agents and I’ve yet to see anything that beats this setup in terms of speed/accuracy. I get near instant transcription, and the slight accuracy drop is immaterial when talking to AIs that can “read between the lines”. I tried incorporating this Voxtral C implementation into Handy but got very slow transcriptions on my M1 Max MacBook 64GB. [1] https://github.com/cjpais/Handy I’ll have to try the other implementations mentioned here.

… just how close we are to the start trek voice computer. I used to use Dragon Dictation to draft my first novel, had to learn a 'language' to tell the rudimentary engine how to recognize my speech. And then I discovered [1] and have been using it for some basic speech recognition, amazed at what a local model can do. But it can't transcribe any text until I finish recording a file, and then it starts work, so very slow batches in terms of feedback latency cycles. And now you've posted this cool solution which streams audio chunks to a model in infinite small pieces, amazing, just amazing. Now if only I can figure out how to contribute to Handy or similar to do that Speech To Text in a s…

I use Handy with Claude code. Nice to just have a key combo to transcribe into whatever has focus. https://github.com/cjpais/Handy

Very similar to handy [1], which is free, open source [2] and available on Windows, MacOS and Linux. [1] https://handy.computer/ [2] https://github.com/cjpais/Handy