Alternatives
Products that do what OpenWhisper – free, local, and private voice-to-text macOS app does
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…
- 1WO
Hey HN! Braden here, creator of Whispering, an open-source speech-to-text app. I really like dictation. For years, I relied on transcription tools that were almost good, but they were all closed-source. Even a lot of them that claimed to be “local” or “on-device” were still black boxes that left me wondering where my audio really went. So I built Whispering. It’s open-source, local-first, and most importantly, transparent with your data. Your data is stored locally on your device, and your audio goes directly from your machine to a local provider (Whisper C++, Speaches, etc.) or your chosen…
2025 · github.com
- 2

- 3OO
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…
2025 · docs.hyprnote.com
- 4GP
I built this because I wanted to see how far I could get with a voice-to-text app that used 100% local models so no data left my computer. I've been using a ton for coding and emails. Experimenting with using it as a voice interface for my other agents too. 100% open-source MIT license, would love feedback, PRs, and ideas on where to take it.
Apr 2026 · github.com
- 5FA
Feb 2026 · github.com
- 6

- 7

- 8

- 9

- 10

- 11

- 12

- 13

- 14

- 15

- 16OW
I built Open WhisperScribe after struggling with the complexity, paywalls, or limitations of most speech-to-text tools for macOS and elsewhere. My main requirements were: Simple, <5-min setup Runs fully offline, locally (no data leaves your machine) Works seamlessly in any app — just press a hotkey, speak, and your words appear where your cursor is (code editors, terminal, you name it) Fast and distraction-free It uses OpenAI’s Whisper model under the hood, but wraps it in a lightweight CLI tool that sits quietly in the background. The project is open source (Apache 2.0). Setup is a single…
2025 · github.com
- 17YO
Hey HN! I wanted to share this OSS project I've been working on. It's called Yap and its a small menu-bar app for macOS that does voice to text for any input. You'll set a hotkey, press it, talk, press it again, and the text gets pasted into whatever field you were in. Everything runs locally and never leaves your computer. Fully OSS and MIT licensed. With macOS 26, Apple recently added two new APIs, SpeechAnalyzer and SpeechTranscriber, that do streaming on-device speech to text using models the OS ships and manages. So the app ships no model of its own and loads nothing before the first…
Jul 2026 · github.com
- 18

- 19PF
Sep 2025 · github.com
- 20

- 21

- 22

- 23
- 24

Ranked by how close each launch is in meaning, then by votes. Refine with a description →