FloWords
AI voice-to-text for Mac. Local-first. No subscription.
FloWords launched on March 2, 2026 with 4 votes, #2,516 of 23,380 launches that month and more than 75% of that year's launches.
What it does
FloWords turns your voice into text on macOS. Whisper and Parakeet AI run directly on Apple for fast, private transcription. Need more power? Connect your own cloud API key. Dictate into any app with one global hotkey. Smart Dictionary: learns your terminology. 100+ languages, full transcription history with audio replay. Works offline — no internet required for local models. Built for professionals who dictate daily. 21-day free trial. One-time purchase. No subscription.
Transform your voice into text with FloWords. 100% local processing, complete privacy, no subscriptions. Download for macOS now.
Voice-to-text transcription for macOS with 100% privacy . Local AI processing. No cloud. No subscriptions. All transcription happens on your Mac. Your voice never leaves your device. Sub-second transcription powered by Whisper.cpp with Apple Silicon optimization. Powered by the best local speech-to-text models available. Want more? Bring your favorite cloud models via API. Teach FloWords your technical jargon, brand names, acronyms, or industry terms. Perfect for developers, doctors, lawyers, and professionals. Access all your past transcriptions, replay the original audio, and copy text anytime. Some models support over 100 languages with automatic detection and seamless switching. Every…from flowords.app
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DictatoFeb 2026 · dicta.to · ▲93I built a macOS dictation app where everything runs on-device. Transcription, auto-correct, translation. No audio or text leaves your machine. It ships with 4 transcription engines you can swap between: WhisperKit (99 languages), NVIDIA Parakeet TDT 0.6B (25 European languages, fastest of the bunch), Qwen3-ASR 0.6B (30 languages), and Apple Speech on macOS 26+. They all run through CoreML/Metal. Whisper is the most versatile, Parakeet wins on raw latency for European languages, Qwen3 does better with CJK. I went with a protocol-based architecture so you pick the engine that fits your…
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…
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…
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