Voxtap
System-wide offline voice-to-text for Mac. No subscriptions.
What it does
Builders, supercharge your output. VoxTap gives macOS users 2.5x more code/week with native, offline voice-to-text. Ship faster, crush deadlines, never miss a flow state. Experience zero latency, system-wide voice input (VS Code, Claude Code, Cowork, Notion) via one hotkey. Forget subscriptions: $29 lifetime. Try 45 mins free, no signup. Stop typing, start building.
Does the same job
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- SAsuperwhisper – AI powered offline voice to text for macOS2023 · superwhisper.com · ▲43
Hey HN, I built superwhisper out of frustration with the native dictation capabilities of macOS. Inaccurate, required manual punctuation, didnt activate in some contexts or would have audio capture issues. I wanted a replacement that worked offline, had cross language support, was configurable and worked in any application. Under the hood the app is using whisper.cpp, which runs really well on the Apple Silicon chips. You can use the base and standard size models for free, larger models sizes and languages other than english are paid. Let me know what you think! For context, I launched this…
- OFOpenWhisper – 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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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
