109 pointsby MattHart882 hours ago21 comments
  • atlgator2 minutes ago
    This thread is a support group for people who have each independently built the same macOS speech-to-text app.
  • primaprashant15 minutes ago
    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

  • goodroot2 hours ago
    Nice one! For Linux folks, I developed https://github.com/goodroot/hyprwhspr.

    On Linux, there's access to the latest Cohere Transcribe model and it works very, very well. Requires a GPU though. Larger local models generally shouldn't require a subordinate model for clean up.

    Have you compared WhisperKit to faster-whisper or similar? You might be able to run turbov3 successfully and negate the need for cleanup.

    Incidentally, waiting for Apple to blow this all up with native STT any day now. :)

    • LuxBennuan hour ago
      I've been running whisper large-v3 on an m2 max through a self-hosted endpoint and honestly the accuracy is good enough that i stopped bothering with cleanup models. The bigger annoyance for me was latency on longer chunks, like anything over 30 seconds starts feeling sluggish even with metal acceleration. Haven't tried whisperkit specifically but curious how it handles longer audio compared to the full model.
      • goodrootan hour ago
        Ah yeah, longform is interesting.

        Not sure how you're running it, via whichever "app thing", but...

        On resource limited machines: "Continuous recording" mode outputs when silence is detected via a configurable threshold.

        This outputs as you speak in more reasonable chunks; in aggregate "the same output" just chunked efficiently.

        Maybe you can try hackin' that up?

        • LuxBennu21 minutes ago
          Yeah that makes sense, chunking on silence would sidestep the latency issue pretty cleanly. I've been running it through a basic fastapi wrapper so it just takes whatever audio blob gets thrown at it, no chunking logic on the server side. Might be worth adding a vad pass before sending to whisper though, would cut down on processing dead air too.
    • hephaes7us2 hours ago
      Thanks for sharing! I was literally getting ready to build, essentially, this. Now it looks like I don't have to!

      Have you ever considered using a foot-pedal for PTT?

      Apple incidentally already has native STT, but for some reason they just don't use a decent model yet.

      • goodrootan hour ago
        They do, and they even have that nice microphone F5 key for it, and an ideal OS level API making the input experience >perfect<.

        Apparently they do have a better model, they just haven't exposed it in their own OS yet!

        https://developer.apple.com/documentation/speech/bringing-ad...

        Wonder what's the hold up...

        For footpedal:

        Yes, conceptually it’s just another evdev-trigger source, assuming the pedal exposes usable key/button events.

        Otherwise we’d bridge it into the existing external control interface. Either way, hooks are there. :)

        • jiehongan hour ago
          The only issue with Apple models is that they do not detect languages automatically, nor switch if you do between sentences.

          Parakeet does both just fine.

      • chrisweekly22 minutes ago
        sorry, PTT?
        • serf19 minutes ago
          push-to-talk.
  • parhamnan hour ago
    I see a lot of whisper stuff out there. Are these updated models are the same old OpenAI whispers or have they been updated heavily?

    I've been using parakeet v3 which is fantastic (and tiny). Confused still seeing whisper out there.

    • goodroot27 minutes ago
      Whisper is very good in many languages.

      It's also in many flavours, from tiny to turbo, and so can fit many system profiles.

      That's what makes it unique and hard to replace.

    • daemonologistan hour ago
      Whisper is still old reliable - I find that it's less prone to hallucinations than newer models, easier to run (on AMD GPU, via whisper.cpp), and only ~2x slower than parakeet. I even bothered to "port" Parakeet to Nemo-less pytorch to run it on my GPU, and still went back to Whisper after a couple of days.
    • zackifyan hour ago
      same, even have kokoro for speech back to text for home assistant and parakeet on mac os through voice ink.

      Also vibe coded a way to use parakeet from the same parakeet piper server on my grapheneos phone https://zach.codes/p/vibe-coding-a-wispr-clone-in-20-minutes

  • charlietran2 hours ago
    Thank you for sharing, I appreciate the emphasis on local speed and privacy. As a current user of Hex (https://github.com/kitlangton/Hex), which has similar goals, what are your thoughts on how they compare?
  • __mharrison__35 minutes ago
    Cool, I've been doing a lot of "coding" (and other typing tasks) recently by tapping a button on my Stream Deck. It starts recording me until I tap it again. At which point, it transcribes the recording and plops it into the paste buffer.

    The button next to it pastes when I press it. If I press it again, it hits the enter command.

    You can get a lot done with two buttons.

  • rcarmo15 minutes ago
    Not sure why I should use this instead of the baked-in OS dictation features (which I use almost daily--just double-tap the world key, and you're there). What's the advantage?
    • qq6612 minutes ago
      I haven't used this one but WisprFlow is vastly better than the built-in functionality on MacOS. Apple is way behind even startups, even for fundamental AI functionality like transcribing speech
      • jonwinstanley8 minutes ago
        I use the baked in Apple transcription and haven't had any issues. But what I do is usually pretty simple.

        What makes the others vastly better?

      • ibero10 minutes ago
        WisprFlow has a lot of good recommendations behind it but the fact they used Delve for SOC2 compliance gives me major pause.
  • konaraddi2 hours ago
    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

    • vunderba16 minutes ago
      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 word a dozen dozen dozen dozen dozen dozen dozen dozen times.

    • swaptran hour ago
      Handy is awesome! I used it for quite a while before Claude Code added voice support. Solid software, very good linux and mac integration. Shoutout to Parakeet models as well, extremely fast and solid models for their relatively modest memory requirements.
    • youniversean hour ago
      I love and have been using handy for a while too, what we need is this for mobile apps I don't think there's any free apps and native dictation is not always fully local and not as good.
    • stavrosan hour ago
      Handy is fantastic.
  • ericmceran hour ago
    I see quite a few of these, the killer feature to me will be one that fine tunes the model based on your own voice.

    E.G. if your name is `Donold` (pronounced like Donald) there is not a transcription model in existence that will transcribe your name correctly. That means forget inputting your name or email ever, it will never output it correctly.

    Combine that with any subtleties of speech you have, or industry jargon you frequently use and you will have a much more useful tool.

    We have a ton of options for "predict the most common word that matches this audio data" but I haven't found any "predict MY most common word" setups.

  • ipsum22 hours ago
    Parakeet is significantly more accurate and faster than Whisper if it supports your language.
  • mathisan hour ago
    If you don't feel like downloading a large model, you can also use `yap dictate`. Yap leverages the built-in models exposed though Speech.framework on macOS 26 (Tahoe).

    Project repo: https://github.com/finnvoor/yap

  • purplehat_33 minutes ago
    Hi Matt, there's lots of speech-to-text programs out there with varying levels of quality. 100% local is admirable but it's always a tradeoff and users have to decide for themselves what's worth it.

    Would you consider making available a video showing someone using the app?

  • Supercompressoran hour ago
    I've been looking for the opposite - wanting to dump text and it be read to me, coherently. Anyone have good recommendations?
  • hyperhelloan hour ago
    Feature request or beg: let me play a speech video and transcribe it for me.
    • MattHart88an hour ago
      I like this idea and it should work -- whatever microphone you have on should be able to hear the speaker. LMK if not (e.g., are you wearing headphones? if so, the mic can't hear the speaker)
  • douglaswlance19 minutes ago
    does it input the text as soon as it hears it? or does it wait until the end?
  • guzikan hour ago
    Sadly the app doesn't work. There is no popup asking for microphone permission.

    EDIT: I see there is an open issue for that on github

    • ttulan hour ago
      And many people are mailing in Codex and Claude Code generated PRs - myself included. Fingers crossed, I suppose.
      • MattHart8812 minutes ago
        Thanks to everyone who submitted PRs! The fix is merged, new version is up.
  • gegtikan hour ago
    how does this compare to macos built in siri TTS, in quality and in privacy?
    • realityfactchex32 minutes ago
      Exactly my question. I double-tap the control button and macOS does native, local TTS dictation pretty well. (Similar to Keyboard > Enable Dictation setting on iOS.)

      The macOS built-in TTS (dictation) seems better than all the 3rd party, local apps I tried in the past that people raved about. I have tried several.

      Is this better somehow?

      If the 3rd party apps did streaming with typing in place and corrections within a reasonable window when they understand things better given more context, that would be cool. Theoretically, a custom model or UX could be "better" than what comes free built into macOS (more accurate or customizable).

      But when I contacted the developer of my favorite one they said that would be pretty hard to implement due to having to go back and make corrections in the active field, etc.

      I assume streaming STT in these utilities for Mac will get better at some point, but I haven't seen it yet (been waiting). It seems these tools generally are not streaming, e.g. they want you to finish speaking first before showing you anything. Which doesn't work for me when I'm dictating. I want to see what I've been saying lately, to jog my memory about what I've just said and help guide the next thing I'm about to say. I certainly don't want to split my attention by manually toggling the control (whether PTT or not) periodically to indicate "ok, you can render what I just said now".

      I guess "hold-to-talk" tools are for delivering discrete, fully formed messages, not for longer, running dictation.

      AFAICT, TFA is focused on hold-to-talk as the differentiator, over double-tap to begin speaking and double-tap to end speaking?

  • aristechan hour ago
    Great job. How about the supported languages? System languages gets recognised?
    • MattHart88an hour ago
      Thanks! We currently have 2 multi-lingual options available: - Whisper small (multilingual) (~466 MB, supports many languages) - Parakeet v3 (25 languages) (~1.4 GB, supports 25 languages via FluidAudio)
  • romeroej17 minutes ago
    always mac. when windows? why can you just make things multios
  • Ecko123a minute ago
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  • lostathomean hour ago
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