Local dictation, nine spaces and correction memory

Fully local macOS dictation powered by whisper.cpp, with Verbatim and Clean output modes.

Speaker profiles with per-profile languages, model selection, vocabulary, microphone choice, correction memory, and transcript history.

A global Control-twice shortcut, floating recording overlay, clipboard delivery, and optional insertion into the previously active application.

Recheck reports that separate genuine model improvement from correction-rule improvement.

Free and Pro licensing with local entitlement verification and privacy-preserving storage.

Signed in-app software updates delivered from the dedicated public releases repository.

Nine spaces for the whole voice loop — Dictate, Inbox, Memory, Context, Actions, Listen, Insights, Studio, and Settings. Inbox collects clips that still need review and spelling rules waiting to be learned. Memory searches, filters and pages every transcript, with audio replay while correcting. Ask memory answers a question from what you have dictated and cites the transcript it came from.

Speak more than plain text — Prompt, Message and Command modes reshape what you said into a well-formed prompt, a written message, or a parsed action, locally, before it reaches the clipboard. Voice actions always show a preview, and anything consequential needs a keypress to confirm. A matching voice is never authorisation.

Personal dictionary and project context packs — bias transcription toward your own identifiers, filenames and jargon. Point a pack at a repository and it learns that project's vocabulary, so readNativePromptBuffer comes out spelled right the first time.

Correction memory that compounds — correct a transcript once and the phrase is remembered for that speaker, with rules you can scope, merge, edit and forget.

Insights — how much you have dictated, which applications and languages you use it in, and a streak that survives history retention because the daily rollup is kept separately from transcripts.

Listen — turn a day of captures into a written digest you can read first, then have spoken back.

Phone as a microphone — pair a phone over the local network with a QR code and dictate into this Mac from across the room.

Microphone pinning — pin the input device so a headset or phone connecting mid-session cannot quietly move the system default out from under a recording.

Personal accuracy benchmark — read a script aloud and measure word error rate, project-term recall and latency on your own voice, then pick a model from what was actually measured.

Model downloads in the app — fetch base.en (141 MB), small (466 MB) or large-v3-turbo (1.6 GB) with progress, and switch between them per profile.

Mixed-language speech — select up to three spoken languages for one profile, for people who code-switch mid-sentence.

Live words on the overlay — watch the transcript build while you are still speaking instead of waiting for the clip to finish.

Backup, restore and profile transfer — take everything this install holds to another machine. Profiles export as JSON, or as an AES-GCM encrypted file when you want one.

Accuracy defaults that match how people actually dictate — new profiles start on explicit English rather than auto-detect, because a short clip in accented English is easily classified as the speaker's first language. The app warns when a short recording still uses Auto-detect.

Cleaner audio before transcription — recordings have DC offset removed, outside silence trimmed and conservative gain applied, and the app reports quiet, clipped or mostly-silent input instead of leaving it to look like a model failure.

Speech enhancement is now a choice — browser echo cancellation, noise suppression and automatic gain can smear consonants on some microphones, so each profile can A/B test it against the raw microphone.