Alternatives
Products that do what FluidAudio – Swift Speaker Diarization on CoreML does
We needed a speaker diarization solution that could run every few seconds alongside transcription on iOS and macOS. But native Swift support was either limited or locked behind paid licenses. Since diarization is a common need in speech-to-text workflows, we decided to open source our work and give back to the community. We initially tried sherpa-onnx, which works, but running both diarization and transcription models slowed down older devices. CPU-only inference just isn’t ideal for near real-time workloads, so we wanted the option to offload segmentation and speaker embedding to the GPU or…
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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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Hey HN, I wanted to share a project I’ve been working on called Convoxa. It’s a native iOS transcriber/summarizer. I had two main goals: keep it efficient and keep it private. THE TECH STACK 100% Swift & SwiftUI: No heavy cross-platform wrappers or bloated dependencies. Binary Size: The final build is only 4.8 MB. Transcription: Uses Apple's latest speech APIs for maximum privacy and efficiency. THE CHALLENGE: BYPASSING THE 4K CONTEXT LIMIT The biggest technical hurdle was working with Apple’s foundation models. The default context window is capped at 4096 tokens, which is practically…
Jan 2026 · apps.apple.com
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On-device voice recorder that transcribes + exports Markdown
Jun 2026 · fieldbw.com
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Audiopipe is a one-liner for denoising, diarization and transcription with demucs + pyannote + insanely-fast-whisper. Made it to transcribe podcasts and Dungeons And Dragons sessions, figured it could be useful. It also has a wasm UI to load transcriptions and audio. Feel free to contribute! Feedback appreciated.
2025 · github.com
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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…
2025 · github.com
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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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Hi HN, I’m Ben, long time web developer but this is my first time building a macOS app. I film a lot of tutorial and talking-head content and wanted to make it easier to chop out mistakes. So I built CutWord, a macOS app that lets you mark cue points with voice commands while you’re recording. Once the app downloads a Whisper model everything runs locally, so nothing leaves your machine. You can export a trimmed video directly from the app or export a FCPXML file that can be imported into Final Cut or DaVinci Resolve for finishing. Built with SwiftUI and AVFoundation. TestFlight:…
2025 · cutword.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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Hello all, I made a small transcription app for your Mac based on OpenAI’s Whisper. Would love some feedback. My plan is to make it easy to load weights from any fine-tuned whisper model to enable specialized dictation for any subfield. It’s still early in development. Thanks!
2023 · twitter.com
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