TalkFlowy
Local real-time voice transcription for Mac
TalkFlowy launched on April 8, 2026 with 75 votes, #666 of 21,248 launches that month and more than 95% of that year's launches.
What it does
Real-time voice transcription for Mac. Words appear as you speak 99% accuracy, AutoPaste anywhere, any app and copy to clipboard automatically., 50+ languages, fully offline. No cloud. No subscription. One payment, yours forever. → Works in any app — Slack, Notion, Word, anywhere → AutoPaste to any text field automatically → Native Mac shortcuts & menu bar → Your voice never leaves your device → History for all your transcription "all Local on your device"
TalkFlowy turns your voice into text in real time. The fastest, most accurate live transcription app for professionals.
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DictlyOct 2025 · dictly.app · ▲240TL;DR: I built a native macOS dictation app that transcribes locally and instantly. Text appears as you speak (measured ~100 ms first‑character latency). No accounts, no servers, no tracking. Links: • Website: https://dictly.app • Mac App Store: https://apps.apple.com/de/app/dictly-no-keys-just-clarity/id... • Free download; optional Pro tier (pipelines, unlimited history, etc.) What it does Real‑time transcription — streaming text while you talk, not after you stop. Quick‑Capture Overlay (macOS) — global hotkey, drop text into any app/field.…
Whisper Snapper for MacDec 2025 · whispersnapper.com · ▲139Local transcripts with speaker labels, timestamps, + export
SpokeMar 2026 · usespoke.app · ▲102Dictate into any Mac app by holding a key. Spoke runs fully on-device using local AI — no cloud, no account, no subscription. $9.99 one-time.
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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