Alternatives
Products that do what SpeechAnalyzerDylib – C-FFI for macOS 26.0 SpeechAnalyzer API does
Hi HN, I’m excited to share SpeechAnalyzerDylib, a tiny C-compatible dynamic library that wraps Apple’s upcoming SpeechAnalyzer API in macOS 26.0 (Tahoe). If you’re building a Swift, Objective-C, or plain C project and want to add on-device transcription with virtually no boilerplate, this might help. ## Key Features - *C-FFI wrapper* Exposes a simple, C-compatible API so you can call from Swift, Objective-C or plain C. - *Asynchronous File Transcription* `sw_transcribeFile(const char filePath, const char locale, TranscriptionCallback callback, void userData)` Transcribe any audio file on…
- 1YO
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
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On-device voice recorder that transcribes + exports Markdown
Jun 2026 · fieldbw.com
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I built a menu bar app for voice typing on macOS that's 100% on-device. No cloud, no subscription, no data collection. It uses Apple's new SpeechAnalyzer framework (macOS 26 Tahoe), which means: - Speech models are system-managed, not bundled – the app is just 1.5MB - Models run outside your app's memory space - Automatic punctuation and optional emoji conversion Press a hotkey, speak, and your words appear in real-time in whatever app has focus. An audio-reactive screen border shows you're recording. MIT licensed: https://github.com/leftouterjoins/voicewrite I built this…
Jan 2026 · leftouterjoins.github.io
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I built FnScribe because I'm pretty privacy concious and wanted a wispr flow-like app that kept everything local and on device. Currently works for Mac (sillicon and intel). It's dead simple. Hold the fn key, speak and release. I use a quantized Wisper small.en model for transcription. It inserts the text into the active application. There's also a hands-free model for longer dictation. Audio transcription is kept in memory. There's no account or transcription history. Clipboard contents are restored after it inserts it. GPLv3, Mac-only, English only..still in alpha. Hope you enjoy it! Would…
9d ago · github.com
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2012 · tts-api.com
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