The Verity Blog.
Notes on dictation, privacy, and writing at the speed of speech. From the person who builds the app.
How to Dictate Faster Than You Type: A Beginner's Guide
Average speaking speed is 2–3× faster than typing — but most beginners never see that gain. Here's why, and what actually unlocks the speed advantage.
Best Lecture Transcription App for Students
You can't type as fast as your professor talks. Here's a two-step workflow — record on your phone with Verity, get clean study notes on your laptop — that actually works.
Switching from Dragon NaturallySpeaking: A 2026 Guide
Dragon hasn't received a meaningful update since 2023 and runs on Windows only at $699. Here's what transfers when you switch, what doesn't, and how modern AI dictation compares.
Best Voice Dictation for Linux in 2026
We tested every Linux dictation option from DIY whisper.cpp to commercial apps. Here are the 7 best tools for voice-to-text on Linux, with honest trade-offs on AI polish, Wayland support, and setup complexity.
Voice to Text for Podcasters: Stop Editing Transcripts
Podcasters spend 2–5 hours per week cleaning up raw transcripts for show notes. Here's how AI polish eliminates the editing step entirely and turns recordings into publishable content.
Windows Voice Typing Privacy: What Microsoft Collects
Windows 11 Voice Typing routes audio to Microsoft's Azure Speech servers by default. Here's what Online Speech Recognition sends, how to check your settings, and what zero-retention dictation offers instead.
iPhone Dictation Privacy: What Apple Sees
iOS dictation sends audio to Apple servers by default, retaining it for up to six months under a random identifier. Here's exactly what gets uploaded, when on-device processing applies, and how zero-retention dictation compares.
How Developers Use Verity: From Code Comments to Technical Docs
Developers dictate code comments, PR descriptions, commit messages, and technical documentation — prose-heavy tasks where voice offers real speed advantages. Verity’s coding mode handles technical vocabulary, and it runs on Linux, macOS, and Windows.
Why We Built Verity
Voice tools have a data problem. They collect your audio, build voice models from your speech, and offer vague privacy promises in return. We built Verity because we wanted transcription software we’d actually trust with our own conversations.
Verity’s Privacy Architecture — A Technical Deep Dive
A detailed look at how audio flows through Verity: from microphone capture through VAD, Ogg/Opus encoding, zero-retention cloud STT, to LLM polish — and why none of it persists after your transcript is delivered.
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