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75 starsSwift

OpenWhisper – free, local, and private voice-to-text macOS app

by rwu1997·Feb 13, 2026·37 points·15 comments
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AI Analysis

●●●BangerShip ItDark HorseSolve My Problem

Local Whisper with auto-paste and hotkey—Cursor/Claude-coded, shipped, and works.

Strengths
  • •Whisper.cpp bundled and pre-signed: download, drag, run—frictionless macOS UX.
  • •Global hotkey + auto-paste means truly seamless workflow (record → paste into any app).
  • •Privacy-first: audio stays local; no servers, no telemetry, no third-party dependencies.
Weaknesses
  • •macOS-only: Windows and Linux users shut out despite cross-platform demand.
  • •Requires microphone + accessibility permissions; some users will balk at the latter.
Category
Productivity
Target Audience

macOS users prioritizing privacy, knowledge workers needing voice-to-text transcription

Similar To

Superwhisper · Monologue · Wispr Flow

Post Description

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 time

Claude Code w/ Opus 4.6: - Fewest turns to get main functionality right (recording, hotkeys, permissions) - Was able to get a decent UI with a few more turns

Codex App w/ Codex 5.3 Extra-High: - Worst one-shot UI - None of the functionality worked without multiple subsequent prompts

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