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Show HN: Ghost Pepper – Local hold-to-talk speech-to-text for macOS

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121–130 of 233 posts

Re: Show HN: Ghost Pepper – Local hold-to-talk speech-to-text for macOS

#121

https://handy.computer/ already exists?

I have a few qualms with this app: 1. For a Linux user, you can already build such a system yourself quite trivially by getting an FTP account, mounting it locally with curlftpfs, and then using SVN or CVS on the mounted filesystem. From Windows or Mac, this FTP account could be accessed through built-in software. 2. It doesn't actually replace a USB drive. Most people I know e-mail files to themselves or host them s…

why does it need to generate money?

Re: Show HN: Ghost Pepper – Local hold-to-talk speech-to-text for macOS

#123

This thread is a support group for people who have each independently built the same macOS speech-to-text app.

I did mine on nixOS with a nice little indicator built into Noctalia.

It's remarkable how similar its performance is to Wispr Flow... and it runs locally...

Re: Show HN: Ghost Pepper – Local hold-to-talk speech-to-text for macOS

#124

This thread is a support group for people who have each independently built the same macOS speech-to-text app.

I'm tracking them all here: https://opensource.builders/alternatives/superwhisper Just added Ghost Pepper, and you can actually create a skill.md with the features you need to build your own

Another one to add (1.5k stars on GitHub): https://github.com/kitlangton/Hex

Re: Show HN: Ghost Pepper – Local hold-to-talk speech-to-text for macOS

#125

This thread is a support group for people who have each independently built the same macOS speech-to-text app.

I'm tracking them all here: https://opensource.builders/alternatives/superwhisper Just added Ghost Pepper, and you can actually create a skill.md with the features you need to build your own

So... a vibe slop index to keep track of all the vibe slop apps?

The cherry on top: it’s completely broken! Enable the Context Awareness filter, the list shrinks. Now enable the Auto-pasting filter, the list grows back.

Re: Show HN: Ghost Pepper – Local hold-to-talk speech-to-text for macOS

#126

This thread is a support group for people who have each independently built the same macOS speech-to-text app.

Are there any better than Superwhisper? Because I haven't found any.

https://carelesswhisper.app

Re: Show HN: Ghost Pepper – Local hold-to-talk speech-to-text for macOS

#127

Earlier quoted context omitted.

Oh to be 20-something and do a bunch of free work for your portfolio again

I'll have you know that I'm Matt's top contributor to Ghost Pepper and I'm nearly fifty 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

I'll look at this, thank you. I haven't yet gotten around to vibe coding my own itch yet so maybe your scratching will do.

Re: Show HN: Ghost Pepper – Local hold-to-talk speech-to-text for macOS

#128

always mac. when windows? why can you just make things multios

Windows has a native (cloud-based) dictation software built-in[1], so there's likely less demand for it. Nonetheless, there are still a handful of community options available to choose from.

[1] https://support.microsoft.com/en-us/windows/use-voice-typing...

Re: Show HN: Ghost Pepper – Local hold-to-talk speech-to-text for macOS

#129
post #103

This thread is a support group for people who have each independently built the same macOS speech-to-text app.

checking in windows (kotlin multi platform) => https://github.com/maceip/daydream parakeet-tdt-0.6b-v2

now using Moonshine v2 Medium

hotword dict so no more "clawd" "dash" "dot com"

Re: Show HN: Ghost Pepper – Local hold-to-talk speech-to-text for macOS

#130
interesting, i wanted something like this but i am on linux so i modified whisper example to run on cli. Its quite basic, uses ctrl+alt+s to start/stop, when you stop it copies text to clipboard that's it. Now its my daily driver https://github.com/newbeelearn/whisper.cpp
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