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Edict.sh

Dictation for macOS with the speech models inside the app: offline, verbatim, never leaves your Mac. Tap or hold a key, talk, and text lands at your cursor in Claude Code, Cursor, or any terminal. Wrong-window guard, auto-send, MCP server. $29 once.

Edict is dictation for macOS, built for developers who drive AI coding agents. Tap or hold Right Command, talk, and verbatim text lands at your cursor in any app, including Claude Code and Cursor in a terminal.

The speech models (NVIDIA Parakeet v3) run inside the app on the Apple Neural Engine, so dictation works offline from first launch and no audio ever leaves your Mac. There is no cloud mode, no API key field, and no fallback.

It also includes a personal CSV dictionary, a wrong-window guard that keeps the text on your clipboard if focus moved while you talked, auto-send for agents you allowlist, on-device file transcription with speaker labels (SRT, VTT, TXT), and a local MCP server so your agent can search transcript history or hand a file over for transcription.

Edict dictates in 25 European languages. One-time purchase, 7-day fully functional trial, no account. macOS 15 or later, Apple Silicon.

A startup from NEWCASTLE UPON TYNE, the United Kingdom that is founded by Andrew Cathcart.

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  • MacOS
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Edict.sh

Edict.sh Reviews and Details

This page is designed to help you find out whether Edict.sh is good and if it is the right choice for you.

#Mac Dictation #Voice Dictation #Offline Dictation #Private Dictation #AI Dictation #Speech To Text #AI

Screenshots and images

  • Edict.sh Landing page
    Landing page //
    2026-07-27
  • Edict.sh Dictation
    Dictation //
    2026-07-27
  • Edict.sh Transcription
    Transcription //
    2026-07-27
  • Edict.sh Dictionary
    Dictionary //
    2026-07-27
  • Edict.sh Local MCP
    Local MCP //
    2026-07-27
  • Edict.sh Dictation History
    Dictation History //
    2026-07-27
  • Edict.sh Stats
    Stats //
    2026-07-27

Features & Specs

  1. Offline speech recognition

    The NVIDIA Parakeet v3 models ship inside the app and run on the Apple Neural Engine. No account, no API key, no cloud fallback. Works with wifi off from first launch.

  2. Verbatim output

    What you said is what pastes, plus your own spelling fixes. Never an AI rewrite. When the text is a prompt to an agent, verbatim matters.

  3. Dictionary

    Whole-word spelling rules from a plain CSV, editable in Settings or by your coding agent.

  4. Wrong-window guard

    If focus moved while you talked, the transcript stays on your clipboard instead of pasting into the wrong app.

  5. Auto-send

    Allowlist your coding agents and a finished dictation submits itself, signaled on the pill before you release the key.

  6. On-device file transcription

    Drop in audio or video and get text with the speakers labeled, processed on this Mac. A 60-minute recording takes about 24 seconds.

  7. SRT, VTT and TXT export

    Export any file transcript as subtitles or plain text, with timings.

  8. Transcript history

    Everything you dictate stays on this Mac, searchable in the app.

  9. Local MCP server

    Your coding agent can search transcript history, fetch the last transcript, hand over a file to transcribe, and edit the dictionary. No network calls.

  10. 25 European languages

    The bundled model detects the language automatically. Accuracy varies by language.

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Questions & Answers

As answered by people managing Edict.sh.

  1. What makes Edict.sh unique?

    Most Mac dictation apps stop once your words are on the screen. Edict is built for the loop after that:

    • Local MCP server so your coding agent can search your transcript history or hand over a file to transcribe
    • Auto-send so a finished prompt submits itself to agents you allowlist
    • Wrong-window guard that keeps text on your clipboard if focus moved while you talked
    • Verbatim output, because a rewrite is a bug when the text is a prompt

    Alongside that it does on-device file transcription with speaker labels, exporting SRT, VTT or TXT.

  2. Why should a person choose Edict.sh over its competitors?

    If you talk to coding agents more than you type, Edict is shaped for that specifically. Text lands verbatim in Claude Code, Cursor or a terminal, including over SSH, and your agent can read your transcript history over MCP.

    It's a one-time $29 purchase with no account and no subscription, and the speech models are bundled inside the app rather than downloaded, so it works offline from first launch.

    It won't suit everyone. There's no free tier, it's Apple Silicon only, and if you want your dictation tidied up and rewritten as you go, other apps do that deliberately and Edict doesn't.

  3. How would you describe the primary audience of Edict.sh?

    Developers who drive AI coding agents. People with Claude Code or Cursor open all day who would rather say a paragraph of context than type it, since speaking a full prompt takes roughly the time typing gets you a sentence.

    Secondarily, anyone transcribing audio or video on a Mac who can't send it to a cloud service. File transcription runs on-device with speaker labels.

  4. What's the story behind Edict.sh?

    I built it because I talk to coding agents all day and typing the prompts was the slow part.

    Two things existing tools didn't quite give me. First, the audio genuinely never leaves the Mac: the speech models sit inside the app bundle and run on the Neural Engine, with no cloud mode and no API key field. Second, it never rewrites you, because when the text is a prompt to an agent, what you actually said is what matters.

    The rest came from using it every day. The wrong-window guard exists because I kept pasting into Slack. Auto-send exists because reaching for Return broke the flow. The MCP server exists because I wanted the agent to read back what I'd dictated.

  5. Which are the primary technologies used for building Edict.sh?

    • Swift and SwiftUI, native, macOS only
    • NVIDIA Parakeet TDT v3 for speech recognition, converted to CoreML and running on the Apple Neural Engine via FluidAudio
    • Speaker diarization for file transcription, also on-device
    • A local stdio MCP server, bundled in the app
    • Sparkle for updates
    • No backend, and no network path for audio

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