LocalWhisper | Transcriber & Summarizer

What it does

Hey Hunters! 👋 I built LocalWhisper cause I wanted a completely offline stack to process my meeting audio notes and text transcripts without worrying about data privacy or expensive recurring cloud subscription fees. It runs 100% locally on your Mac and leverages your existing Ollama setup using live streaming to output structured business insights It’s live on itch.io under a 'Pay What You Want' model. I’d love to get your feedback and know what features you want to see in the next update!

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  OWhisper – Ollama for realtime speech-to-text2025 · docs.hyprnote.com · ▲289

  Hello everyone. This is Yujong from the Hyprnote team (https://github.com/fastrepl/hyprnote). We built OWhisper for 2 reasons: (Also outlined in https://docs.hyprnote.com/owhisper/what-is-this) (1). While working with on-device, realtime speech-to-text, we found there isn't tooling that exists to download / run the model in a practical way. (2). Also, we got frequent requests to provide a way to plug in custom STT endpoints to the Hyprnote desktop app, just like doing it with OpenAI-compatible LLM endpoints. The (2) part is still kind of WIP, but…

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  I made an app to use local AI as daily driver2024 · recurse.chat · ▲637

  Hi Hackers, Excited to share a macOS app I've been working on: https://recurse.chat/ for chatting with local AI. While it's amazing that you can run AI models locally quite easily these days (through llama.cpp / llamafile / ollama / llm CLI etc.), I missed feature complete chat interfaces. Tools like LMStudio are super powerful, but there's a learning curve to it. I'd like to hit a middleground of simplicity and customizability for advanced users. Here's what separates RecurseChat out from similar apps: - UX designed for you to use local AI as a daily driver.…

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  superwhisper2023 · superwhisper.com · ▲274

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  OpenWhisper – free, local, and private voice-to-text macOS appFeb 2026 · github.com · ▲37

  I wanted a voice-to-text app but didn't trust any of the proprietary ones with my privacy. So I decided to see if I could vibe code it with 0 macOS app & Swift experience. It uses a local binary of whisper.cpp (a fast implementation of OpenAI's Whisper voice-to-text model in C++). Github: https://github.com/richardwu/openwhisper I also decided to take this as an opportunity to compare 3 agentic coding harnesses: Cursor w/ Opus 4.6: - Best one-shot UI by far - Didn't get permissioning correct - Had issues making the "Cancel recording" hotkey being turned on all the…

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