Show HN: Chirp – Local Windows dictation with ParakeetV3 no executable required(github.com)
34 pointsby whamp9 days ago8 comments
  • lxe9 days ago
    I've done something similar for Linux and Mac. I originally used Whisper and then switched to Parakeet. I much prefer whisper after playing with both. Maybe I'm not configuring Parakeet correctly, But the transcription that comes out of Whisper is usually pretty much spot on. It automatically removes all the "ooms" and all the "ahs" and it's just way more natural, in my opinion. I'm using Whisper.CPP with CUDA acceleration. This whole comment is just written with me dictating to a whisper, and it's probably going to automatically add quotes correctly, there's going to be no ums, there's going to be no ahs, and everything's just going to be great.
    • clueless9 days ago
      Mind sharing your local setup for Mac?
      • hasperdi8 days ago
        If you don't mind closed source paid app, I can recommend MacWhisper. You can select different models of Whisper & Parakeet for dictation and transcription. My favorite feature is that it allows sending the transcription output to an LLM for clean-up, or anything you want basically eg. professional polish, translate, write poems etc.

        I have enough RAM on my Mac that I can run smaller LLMs locally. So for me the whole thing stays local

      • lxe9 days ago
        https://github.com/lxe/yapyap/tree/parakeet-nemo

        It's been a while, so I don't know if it's going to work because of the Nemo toolkit ASR numpy dependency issues.

        I use it for Linux using whisper CPP and it works great

  • hamza_q_9 days ago
    Cool use of ONNX! Fluid Inference also have great implementations of Parakeet v2/v3 in CoreML for Apple devices and OpenVINO for Intel:

    https://github.com/FluidInference/FluidAudio

    https://github.com/FluidInference/eddy-audio

  • whamp9 days ago
    Here is the huggingface ASR leaderboard for those wondering how parakeet V3 compares to Whisper Large V3

    Accuracy Average WER: Whisper-large-v3 4.91 vs Parakeet V3 5.05

    Speed RTFx: Whisper-large-v3 126 vs PArakeet V3 2154

    ~17x faster

    https://huggingface.co/spaces/hf-audio/open_asr_leaderboard

  • feynmanquest8 days ago
    I built something similar for macOS that is a CLI app and generates notes for you. Also has a conversational chat interface to query your notes. Funny enough, it’s also called Chirp.

    https://github.com/Code-and-Sorts/chirp-ai-note-app

  • zahlman9 days ago
    > I’m allowed to run Python, but not install or launch new `.exe` files.

    > NVIDIA’s ParakeetV3 model

    You can't install .exe's, but you can connect to the Internet, download and install approximately two hundred wheels (judging by uv.lock), many of which contain opaque binary blobs, including an AI model?

    Why does your organization think this makes any sense?

    • whamp8 days ago
      Never said it did! Working with what I got.
  • hebelehubele8 days ago
    Is there a macOS equivalent of this?

    My use case is to generate subtitles for Youtube videos (downloaded using yt-dlp). Word-level accurracy is also nice to have, because I also translate them using LLMs and edit the subtitles to better fit the translation.

  • whamp9 days ago
    btw this is my first open-source project
  • hastamelo9 days ago
    how does the quality compare with the windows built in one (Win+H), the one with online models?

    I'm using that to dictate prompts, it struggles with technical terms: JSON becomes Jason, but otherwise is fine

    • lxe9 days ago
      In my opinion, attempting to perform live dictation is a solution that is looking for a problem. For example, the way I'm writing this comment is: I hold down a keyboard shortcut on my keyboard, and then I just say stuff. And I can say a really long thing. I don't need to see what it's typing out. I don't need to stream the speech-to-text transcription. When the full thing is ingested, I can then release my keys, and within a second it's going to just paste the entire thing into this comment box. And also, technical terms are going to be just fine with Whisper. For example, Here's a JSON file.

      (this was transcribed using whisper.cpp with no edits. took less than a second on a 5090)

      • whamp8 days ago
        Yea whisper has more features and is awesome if you have the hardware to run the big models that are accurate enough. The constraint here is the best cpu only implementation. By no means am I wedded or affiliated with parakeet, it's just the best/fastest within the CPU hardware space.
      • atonse9 days ago
        I’ve been using Parakeet with MacWhisper for a lot of my AI coding interactions. It’s not perfect but generally saves me a lot of time.
        • lxe9 days ago
          I barely use a keyboard for most things anymore.
    • whamp9 days ago
      My project has a built-in word_replacement so you can automatically replace certain terms if that's important to you in the config.toml

      i loved whisper but it was insanely slow on cpu only and even then it was with a smaller whisper that isn't as accurate as parakeet.

      my windows environment locks down the built-in windows option so i don't have a way to test it. i've heard it's pretty good if you're allowed to use it, but your inputs don't stay local which is why i needed to create this project.