Why is AI dictation slower than built-in dictation?

It is often slower because it does more work after you stop speaking. AI dictation can add a language-model rewrite that runs after the speech recognizer, and a cloud app also sends your audio to a server and waits for the reply. Neither step is needed to turn speech into words, so an app that skips them can return text sooner. But "AI" does not always mean slower. How fast the text appears depends on the path your words take and the hardware that runs it.

The delay comes from the steps an app adds

Every dictation starts with a speech recognizer. Built-in dictation runs that step and types the result. Many AI apps then pass the transcript to a language model, which removes filler words, fixes punctuation and applies your spoken corrections. The guide to how AI dictation works describes the two stages. The second stage is the one most likely to add a visible wait.

Superwhisper, which sells AI dictation, documents the difference in its own app. Its Voice to Text mode is "transcription only, with no AI processing, so results arrive quickly" ¹. The same app's Super Mode adds the language-model step ², so the two modes differ in how long you wait.

We found no independent measurement of the rewrite delay for the popular AI dictation apps, so the only reliable check is to time it yourself.

Streaming recognizers can show words in under half a second

Some speech recognizers show a first guess while you are still talking. In Artificial Analysis's June 2026 streaming benchmark, Deepgram Flux had the fastest first partial transcript after the end of speech, at 0.019 seconds ³. AssemblyAI U3 Realtime Pro was at 0.47 seconds ⁴. Those figures are for the first partial, not the finished text, and both come from one benchmark.

The first guess can also be less accurate than the final text. In one case, OpenAI's hosted GPT Realtime Whisper model had a 7.5 percent word error rate on its first partial transcript and 5.1 percent on the final one ⁵. That is why words on screen can change after you pause.

Cloud apps add a trip to a server

A cloud app waits for a network round trip before the text comes back. Wispr Flow's privacy page says dictated audio goes to its servers over an encrypted connection, using TLS 1.2 or later ⁶. Superwhisper's cloud transcription works the same way: "Audio goes to the Superwhisper proxy, gets transcribed, and comes back" ⁷. A slow connection adds delay to every dictation, and a fast one shortens it.

The recognizer's own speed depends on the machine

Speed also varies with the engine and the computer. In a 2025 9to5Mac test of one 7-minute-31-second episode, Apple's speech API took 9 seconds to transcribe the audio ⁸. Whisper Large V3 Turbo took 40 seconds on the same audio, the longest of the engines tested ⁹. That test measured batch transcription of a long file, not dictation, but it shows that a Whisper model is not automatically quick.

Local models can also be slow on modest hardware. The same model can feel fast on a recent computer and slow on an older one, which is why a timing taken on someone else's machine tells you little about yours.

It depends on the app, the mode and your connection

The answer changes with four things:

• Mode. A raw transcription mode skips the rewrite, so it is often the quickest AI option.
• Network. A cloud app on a fast, stable connection can feel close to local. On a weak connection, the round trip dominates.
• Hardware. On a current Mac, a local model may be quick. On an older machine, the same model can take many times longer.
• Length. Short phrases return quickly. Long passages take longer, and the final rewrite may wait for the whole passage.

Built-in dictation is not guaranteed to be faster, either. The only fair comparison is the two tools on the same machine, with the same sentence.

What to do

1. Pick a sentence of about 30 words that you normally dictate. Note the time when you stop speaking.
2. Measure the time until the first words appear, and then the time until the final text is in place. Repeat it five times for each app.
3. Turn off the rewrite where the app allows it, and time again. The gap between the two runs is the cost of the AI step.
4. If the rewrite is the slow part, switch to a raw mode for drafts and use the rewrite only for final text.
5. If the network is the slow part, a local model removes the round trip. Our question on whether AI dictation can run on your own computer covers that option.

Yap, which we make, is an on-device dictation app for Mac and Windows, so its recognizer does not need a server round trip. Time it alongside the apps you are comparing, on the same machine and sentence. The guide to AI dictation costs covers the money side of the same trade, and the guide to real-time speech recognition explains the streaming side in more detail. For the wider subject, see the our overview of voice and AI.