Spokenly
Type 4x faster with your voice
Spokenly launched on August 1, 2025 with 178 votes, #187 of 8,530 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
🎙️ Smart voice input for Mac that captures thoughts as fast as you think them. Works in every app with custom shortcuts, local Whisper models, and your own API keys. ⚡️ Replace typing, boost productivity instantly.
Free dictation app for Mac, iPhone, Windows, and Linux. Speak in any app and get accurate text from local Whisper or modern cloud models. 100+ languages, offline.
Seamless speech-to-text in every app on Mac, Windows, Linux, and iPhone. Works offline with local models. “ I absolutely love this app. Its speech to text is so clean and spot on. It's increased my productivity so much. I wish there was an iPhone version. ” “ The offline models are absolutely brilliant, and soo much faster than Apple's built in dictation. This makes my life so much easier! ” “ WOW, what a fantastic application! It runs incredibly fast, the interface is highly responsive, and the automatic language detection is a total game-changer. ” Dictate in any of 100+ languages, or mix two mid-sentence. Spokenly detects the language and keeps up. Local-only mode blocks every network…from spokenly.app
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TongueType for macOSMay 2026 · tonguetype.app · ▲109Hi HN, I'm a longtime web dev, but this is my first macOS app. Feedback is very welcome <3 I built TongueType because every dictation app I tried failed at least one of three things: it sent my audio to someone's cloud, it charged me monthly fee, or it felt clunky or enterprisy. The cloud thing kills it for anything sensitive. The subscription thing is insulting for what amounts to "Whisper + a hotkey." TongueType runs Whisper locally on Apple Silicon via CoreML. It's built to feel like a second keyboard: tap the hotkey, talk, let go, words appear. It sits in the menu bar (no dock icon, no…
SaylineJan 2026 · sayline.app · ▲83I built a voice dictation app for macOS mostly because I was tired of how awful Siri is and I didn't want to pay a subscription for cloud tools. The app uses NVIDIA's Parakeet v3 (TDT) as the primary engine. Inference is handled by the FluidAudio library. It's insanely fast on M-series chips. For Intel users, I added local Whisper support ranging from Tiny up to Large v3 Turbo (quantized to save space). The interesting part was the AI integration. I originally tried to pipeline the ASR output into Apple's Intelligence Foundation Model. It was a nightmare, because the content moderation…
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