The Fastest Dictation App in 2026

Why speed matters so much for dictation

Slow dictation tools break the mental loop. When you finish speaking and wait 2–4 seconds for the result, you've lost the thread. The ideal dictation response time is similar to autocomplete — fast enough that the tool feels like an extension of your thought, not a separate step.

The threshold most users describe as "feeling instant" is around 300ms. Below that, the gap between speaking and seeing the result is imperceptible in normal use. Above 500ms, users start to notice and adjust their behaviour (shorter clips, pausing to wait).

Speed comparison

Tool	Turnaround (typical)	AI cleanup?	Notes
AiType	~250ms	✓ Yes	Groq Whisper large-v3-turbo. Fastest combination of speed + cleanup available.
Apple Dictation (on-device)	~100–200ms	✗ No	On-device Neural Engine — very fast, but verbatim only.
OpenAI Whisper API (raw)	~500–1500ms	Depends on app	Latency varies by model size and server load.
Groq Whisper (direct)	~200–400ms	Depends on app	The same backend AiType uses. AiType adds cleanup on top with minimal overhead.
Google Docs Voice Typing	~300–800ms	✗ No	Streaming — text appears word-by-word. No post-processing.
Windows Speech Recognition	~400–900ms	✗ No	On-device, but slower model than Apple's Neural Engine.
Dragon (Nuance)	~300–600ms	Limited	Improves with per-user training. No AI rewrite pass.

Why AiType uses Groq

Groq runs Whisper large-v3-turbo on custom LPU (Language Processing Unit) hardware — chips designed specifically for inference, not general compute. The result is that a full transcription + AI cleanup round-trip takes roughly the same time as on-device Apple Dictation, but produces polished output instead of a verbatim transcript.

AiType sends the audio after you finish speaking (not streaming), which means it can run a cleanup pass on the full utterance at once. That single-pass design is why the cleanup adds almost no extra time — it runs in parallel with the tail end of transcription.

When on-device is faster

Apple Dictation on a modern iPhone or Mac running the Neural Engine is genuinely faster than any cloud-based tool, including AiType — often returning results in under 100ms. If you need verbatim transcription in an air-gapped environment and raw latency is the only metric, on-device wins. But if you need the transcript to be usable without editing, the cleanup pass AiType adds is worth the extra 50–100ms.

Practical speed test

Speak a 30-word message into each tool and measure the time from releasing the mic to having paste-ready text in your clipboard (including any editing you need to do):

• AiType: Hold key → speak 30 words (~12 seconds) → release → paste-ready text in 250ms. Total: ~12.25 seconds.
• Apple Dictation + manual edit: Trigger dictation → speak → result in 150ms → edit 3–5 issues → copy. Total: ~14–18 seconds.
• Typing: At 75 wpm, 30 words takes ~24 seconds. Faster typists: ~15 seconds at 120 wpm.

The speed advantage of AiType over typing grows with message length. For short messages (under 10 words) typing is often faster. For anything over a sentence, voice + AI cleanup wins.