Amical

AI Dictation for Slow Typists

Get the same daily output as a 90-wpm typist without the hunting-and-pecking. Speak at conversational speed and watch the inbox, doc, and chat backlog clear at the pace of the people next to you.

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Why typing is slowing slow typists down

Output lags behind everyone else

The thinking is fast but the typing is slow, so the email backlog grows, docs ship a day later than expected, and the chat threads end without your reply. The gap is not effort — it is letters-per-minute.

Long messages feel disproportionately expensive

A four-paragraph reply takes twenty minutes when typing is slow, so the reflex becomes a one-liner that does not actually answer the question. The communication suffers because the typing tax makes the careful response feel unaffordable.

Ideas evaporate while typing catches up

Three good points are clear in your head, but typing the first one takes long enough that the third has slipped. Drafts come out shorter and less sharp than the version that was originally in your head a minute ago.

A day with Amical

  1. Morning

    Open Gmail and Outlook and dictate eighteen replies in the time it used to take to type seven. Each one is a real paragraph with the actual answer instead of a hedged one-liner that triggers a follow-up.

  2. Late morning

    A doc that would normally be a full-morning typing session in Word. Speak through the first draft in thirty minutes, then spend the rest of the morning editing for shape rather than wrestling the keyboard.

  3. Afternoon

    Slack threads across three teams. Reply by voice in each at conversational speed so the answers actually keep up with the conversation, instead of arriving twenty minutes after the thread has moved on.

  4. Evening

    A long-form note in Notion captures the day's thinking before logging off. The kind of write-up that used to get skipped at five p.m. because typing it would have meant another hour at the desk.

What Amical does for slow typists

Throughput parity with fast typists

Speaking lands somewhere between 130 and 180 words per minute for most people, while hunt-and-peck typing runs at 20 to 35. Voice closes the throughput gap entirely — the day's output stops being capped by letters-per-minute and starts being capped by the actual thinking again.

Long replies stop feeling expensive

When a four-paragraph reply takes two minutes instead of twenty, the calculation about whether to send the careful answer or the one-liner changes completely. The careful version becomes the default because the typing tax that made it expensive has quietly disappeared from the math.

Works in every writing app

Gmail, Outlook, Notion, Word, Google Docs, Slack, and any other focused text field at the OS layer — Amical drops transcription wherever the cursor is. No per-app workaround, no copy-paste from a separate dictation window, just talk into the app where the cursor already is.

What you'd dictate

Full thoughtful reply to the client, sent in the time a one-liner used to take.
First draft of the proposal doc, finished before the coffee break ends.
Slack reply with real context, posted while the thread is still live.

Experience the future of dictation

Local and Cloud Models

Choose from powerful cloud-based AI models or run everything locally for maximum privacy and control. Switch seamlessly between providers to find the perfect balance of speed, accuracy, and security.

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Custom Vocabulary

Customize the AI to recognize your specific terminology, jargon, and proper nouns for industry-specific accuracy and personalized transcription results.

Project PhoenixMcConaughey
CI/CD pipelinek8s
SOC2PostgreSQL
JiraROI metrics
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Custom Shortcuts

Create personalized voice commands and shortcuts to streamline your workflow and boost productivity with hands-free operation.

Multi Language Support

Transcribe and dictate in 100+ languages with native-level accuracy. Switch between languages seamlessly or use mixed-language dictation.

Frequently asked questions

Fast, Accurate, Context-aware and Private

Type 4x Faster with AI

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