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JustScribe
On-device instant voice transcription
78 followers
On-device instant voice transcription
78 followers
JustScribe is a privacy-first live transcription app for macOS. Instant, offline speech-to-text powered by AI. No cloud, no data collection. Your voice, your data.
SquircleJS
I recently started vibe-coding by talking. Unfortunately, I'm not a fan of uploading my voice to the cloud AND paying for that every month. That's why I've build JustScribe! 🎉
I hope you find it useful, and as always - any feedback is welcome! Would mean the world to me if you share it on twitter!
Product Hunt
Many people already use built-in macOS dictation or other tools like @Wispr Flow and @Aqua Voice; what’s the clearest scenario where JustScribe feels meaningfully better within the first 5 minutes, and what would have to be true for a user to switch and stick?
SquircleJS
@curiouskitty Nr. 1 reason is that it's offline and free. I'm building it mainly for myself, so the user experience will improve with time. macOS dictation is already worse at transcribing than JustScribe. @Wispr Flow does work better because of grammar correction, but this feature will also be added soon to JustScribe, and no subscription will be needed to use it 💙
Thanks for your question btw:)
Is there any way to make the trigger button just function? That's my biggest reason to use Spokenly - it's free (well, dirt cheap with API usage) and I can activate it with the function key that is so close to where my hand is resting, ha.
Build Check
It’s super cool Antoni! Wish you all the best here
SquircleJS
@german_merlo1 Thank you! 💙
HasData
Really like the clean UI! Simple and private - love this.
SquircleJS
@rmilyushkevich Thank you! 💙
Vela
awesome work! congrats on alunching!
SquircleJS
@apexflux Thanks! 💙
Love the privacy-first approach. I've been doing voice-to-code workflows too and the cloud dependency always bugged me - not just the privacy aspect but the latency. On-device means you can actually use it while pair programming without awkward pauses. What model are you running locally? Whisper variant? And how's the accuracy with technical jargon - like when I'm dictating variable names or API endpoints?