VoicePad AI
Offline voice dictation for Windows, Mac, iOS & Android
VoicePad AI launched on July 5, 2026 with 53 votes, #603 of 24,623 launches that month and more than 95% of that year's launches.
What it does
VoicePad turns your voice into text on Windows, Mac, iOS, and Android — 100% offline. Powered by Whisper AI, runs entirely on your device. The Orb floats over every app: tap, speak, text lands where your cursor is. Works in Gmail, Word, WhatsApp, your IDE — anywhere. No subscription. No cloud. No account. Free for the first 1,000 founding members. Built solo by a German bike mechanic who couldn't type with greasy hands.
The offline dictation app on all 4 platforms. 100% private, no subscription, DSGVO compliant. Powered by Whisper AI. Free for first 1000 founding members.
VoicePad AI is an offline voice dictation app that converts speech to text using on-device Whisper AI — with zero network calls, no cloud uploads, and no telemetry. One-time purchase, no subscription. Available for Windows, macOS, Android, and iOS, with full English and German support. Tap the orb, speak, stop. Your text lands on the clipboard, ready to paste. Emails, notes, documents — write once, paste where you want. Click into any text field — Gmail, Word, your AI chat. Tap the orb and speak. Text flows in real-time, character by character. The session stays open until you end it. The floating Orb sits on top of any app — tap, speak, done. Or switch on VoicePad Direct, a real…from voicepad.tech
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SpeakoFlowAug 2026 · speakoflow.com · ▲95Free, open-source voice dictation and AI assistant, offline
Voice AnywhereFeb 2026 · procoders.co · ▲152A floating mic that turns your speech into text anywhere



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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