after you stop speaking
in the AiType comparison
Mac, Windows, iPhone, Android
capitalisation, formatting
Why speed matters so much for dictation
Slow dictation can break your train of thought, but a fair test needs a clear start and finish. Begin timing when you stop speaking and stop when the text is ready to use, including any cleanup or correction step.
Use the same device, connection, language, and sample text for every app. Repeat the test several times and compare the median result, because cloud and device performance can vary from one run to the next.
A practical speed comparison
| Tool | Processing approach | AI cleanup? | What to verify |
|---|---|---|---|
| AiType | Typically about 250 ms after you stop speaking | ✓ Yes | Test on your device and connection. Timing varies with clip length. |
| Apple Dictation (on-device) | On-device or server-based, depending on device and settings | ✗ No | Check device, operating system, language, and offline support. |
| OpenAI Whisper API (raw) | Cloud processing; varies by model, file, and load | Depends on app | Measure the complete app workflow, not the raw API alone. |
| Groq Whisper (direct) | Cloud inference designed for low latency | Depends on app | Hosting speed does not include every app's cleanup and network time. |
| Google Docs Voice Typing | Streaming text in the browser | ✗ No | Compare final text quality and any manual correction time. |
| Windows Speech Recognition | Operating-system speech recognition | ✗ No | Results depend on Windows version, hardware, and language. |
| Dragon (Nuance) | Version and configuration dependent | Limited | Check the exact Dragon edition and specialist workflow you need. |
Why AiType uses Groq
AiType uses Groq-hosted Whisper large-v3-turbo for transcription, then applies an AI cleanup pass to the completed utterance. In normal use, transcription and cleanup typically complete in about 250 ms after you stop speaking.
Actual timing varies by device, connection, language, and text length. The useful comparison is the complete speech-to-clean-text workflow, not one provider's raw model benchmark.
When on-device is faster
On-device dictation can respond quickly and can keep audio on the device. If offline use or local processing is essential, that may matter more than AI cleanup. AiType is designed for people who want cloud transcription plus a cleanup pass before the text is pasted.
Practical speed test
Use one 30-word message and measure from releasing the mic to having paste-ready text, including any editing you need to do:
- Keep conditions equal: Use the same device, connection, language, and message.
- Measure usable output: Include punctuation fixes, formatting, and manual corrections.
- Repeat five times: Compare median results instead of the single fastest run.
- Record context: Note the date, app version, and whether processing was local or cloud-based.
Your result will depend on how quickly you speak and type, plus how much correction each tool needs. Short messages may still be faster to type.
AiType's focus: fast dictation with AI cleanup
AiType typically completes transcription and cleanup in about 250 ms, then pastes the result into the active app on desktop or makes it available in the mobile keyboard. Test it in your own workflow, because timing and cleanup needs vary.
Test AiType in your own workflow
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