Dictation software (also called speech-to-text or voice typing) captures audio input, converts it to text via a speech recognition model (Whisper, Deepgram, Apple Speech Recognition), and types the transcription into the focused text field on your screen.
Dictation = audio → text (action stops here). Voice AI = audio → text → action. Same trigger, different output category. Dictation tools optimize for transcription accuracy and latency. Voice AI tools optimize for understanding intent and execution across apps.
Wispr Flow ($15/mo) — cloud Whisper Large v3 with polish layer. SuperWhisper ($20/mo) — local Whisper, privacy-focused. Aqua Voice — context-aware polish. Willow — multi-language dictation. Apple Voice Control / Windows Voice Access — system-level free options.
If 80%+ of your speech-to-screen work is "drop a paragraph into a text field" — dictation wins on simplicity and latency. Long-form writers, transcription tasks, accessibility users, and journalists typing in one app find dictation sufficient.
If your tasks involve more than one app, more than text output, or you find yourself opening apps to do small things you wish you could just say — voice AI (Cue, Highlight, Fazm) is the better fit. The trigger and price ($9.99-15/mo) are similar; the output category is fundamentally different.
Yes. Many users map dictation to one hotkey and voice AI to another. Cue, for example, uses Option for inline dictation and Fn long-press for agent mode — same machine, two trigger paths.