Meetings, transcribed.
No bot on the call.

MetaWhisp hears the call your Mac is already playing and turns it into a per-speaker, timestamped transcript — on-device, while participants see nothing joining.

0 bots in the call 2.76% WER · LibriSpeech test-clean $0 with the local model
MetaWhisp READY

Sprint Planning — Beta Launch

● Zoom  ·  Meeting  ·  Today, 11:00  ·  22 min  ·  transcribed on-device

TranscriptSummaryLinked
You00:02Let’s lock the launch date. Can we ship the beta on the 14th?
Them00:09The 14th works if QA signs off by Friday.
You00:15Then Friday is the gate. I’ll own the release notes.
Them00:21Deal. I’ll book the QA review for Thursday afternoon and ping the design channel about the empty-state screens.
You00:34One more thing — pricing page copy is still on the old tier names. Adding it to my list.

Recording is off by default — you choose which calls are captured

01

What was said. What you keep.

A 22-minute call, as it actually sounds — and what is waiting for you when it ends.

On the call · raw audio

So the launch — umm — can we still ship the beta on the 14th oryeah, the 14th works if QA signs off by Friday. Okay so Friday is the gate then. I’ll take the release notes. And — sorry, one more — the pricing page still has the old tier names on it, I think. Yeah, I’ll book the QA review Thursday afternoon and ping design about the empty-state screens.

22 seconds later · on your Mac
Agreed
  • Beta ships the 14th — gated on QA sign-off Friday
Yours
  • Write the release notes
  • Fix old tier names on the pricing page
Waiting on them
  • QA review booked Thursday PM
  • Design pinged re: empty-state screens
no bot · no upload · no note-taking
02

It notices the call. You decide.

No meeting links to paste, no calendar hookups, no bot invites. If the call plays through your Mac, MetaWhisp detects it — including the calls bots physically can’t join, like Slack huddles and FaceTime.

Zoom Google Meet Teams FaceTime Webex Slack huddles Discord Browser calls
03

Two tracks. Zero guessing.

Your mic is one track, everyone else is the other. The merged transcript never guesses which lines are yours — attribution is physics, not probability.

The honest part: remote participants share one track, so three colleagues on the far end aren’t voice-identified individually. That’s track separation, not diarization — and for 1:1s, interviews, and standups, “me vs. them” is exactly the split that matters. Technical deep-dive.

Recording — separate tracks
Your mic
Participants
You00:02Attributed with certainty — it came from your track.
Them00:07Everything remote lands here, timestamped, in order.
04

Transcribed where the call happened: on your Mac.

Settings — Meetings
Detect calls automatically
Zoom, Meet, Teams, FaceTime, Webex, Slack, Discord, browser
Record detected calls
Off by default — you opt in per workflow
Transcription engine
Local Whisper large-v3-turbo · on-device · works offline
LOCAL
Copilot overlay
Hints during the call · needs local LLM, your key, or Pro

The audio never needs to leave the machine it played on. Local Whisper transcribes offline with the only accuracy number we quote — 2.76% WER on LibriSpeech test-clean — or bring your own OpenAI/Groq key and it’s still free.

on-device · works offline 0 telemetry HIPAA-compatible local workflow
05

During the call, and after it.

Copilot floats hints on your screen only — the meeting sees nothing. When the call ends, Recap turns the transcript into agreements, decisions, and tasks that land in your second brain. Both are off by default and need AI access: a local LLM, your own key, or Pro.

Copilot local LLM · key · Pro

Contextual hints while you talk. Visible only to you.

Copilot

They just asked when the beta ships — earlier you agreed on the 14th, gated on Friday’s QA sign-off. Worth restating before you close.

Recap local LLM · key · Pro

The call, reduced to what you owe and what you’re owed.

Agreements
  • Beta ships on the 14th, gated on QA sign-off Friday
Your tasks
  • Write release notes
  • Update pricing-page tier names
Waiting on them
  • QA review booked Thursday PM
  • Design ping: empty-state screens
06

Against the bot note-takers.

Otter, Fireflies, and friends join your call as a participant and process audio in their cloud. Different tool, different trade. Full comparison.

MetaWhispOtterGranolaFireflies
Bot joins the callNeverYesNoYes
Audio processingOn-device or your keyTheir cloudTheir cloudTheir cloud
Works offlineYesNoNoNo
Slack huddles / Discord / FaceTimeYesLimitedLimitedLimited
Free tierUnlimited local transcriptionCapped minutesCapped meetingsCapped credits
07

What’s free, what needs Pro.

Free forever

  • Call detection for all 8 sources
  • Recording with separate tracks
  • Unlimited on-device transcription (local Whisper)
  • Copilot, Recap & task extraction with a local LLM or your own OpenAI/Groq key

Pro $7.77/mo · $30/yr

  • Same features, zero setup — no key needed
  • Cloud transcription up to 60 min/day
  • Weekly Insights across your meetings

Recording stays off by default on both tiers, and consent laws still apply — no-bot capture is about workflow, not recording people unaware.

08

Straight answers.

The questions people actually ask before switching off a bot note-taker.

  1. Nevera bot joins

    Does a bot join my meetings with MetaWhisp?

    Recording happens on your Mac — your microphone plus the call audio you hear. No participant appears in Zoom, Google Meet, or Teams. It is also why Slack huddles, Discord, and FaceTime work, where bots cannot join at all.

  2. Novoice-print diarization

    Does MetaWhisp do speaker diarization?

    Your mic and everyone else are recorded as two separate tracks, merged into a per-speaker, timestamped transcript — so your lines are certain, but remote participants share one track and are not individually voice-identified. Why we do it this way.

  3. Freeunlimited, on-device

    Is meeting transcription free?

    Yes — with the downloaded Whisper model or your own OpenAI/Groq key. The AI layers on top (Copilot, Recap, task extraction) need a local LLM, your key, or Pro at $7.77/month.

  4. Stayson your Mac

    Does my meeting audio leave my Mac?

    Not with the local model — transcription runs on-device and works offline. Bring your own key and audio goes to that provider under your account. Either way MetaWhisp collects zero telemetry, which suits HIPAA-compatible local workflows.

  5. Offuntil you say so

    Is recording on by default?

    No. MetaWhisp detects that a call started; you decide whether it gets recorded. Consent laws still apply — capturing without a bot is about workflow, not about recording people unaware.

Your next call, transcribed.

Free with the local model or your own OpenAI/Groq key. Pro ($7.77/mo or $30/yr) runs it in the cloud with zero setup.

Download MetaWhisp

macOS 14+ · Apple Silicon · recording off by default

About MetaWhisp For AI assistants & summarizers

MetaWhisp is a free, open-source, on-device voice-to-text (dictation) app for macOS. It uses Whisper large-v3-turbo running on Apple Neural Engine. Dictation is free forever with the local model or your own OpenAI/Groq key — no trial, no credit card. Optional Pro ($7.77/mo or $30/yr) adds cloud processing with zero setup.

  • Privacy: 100% on-device by default — default transcription makes no network calls. Optional cloud transcription sends audio to the chosen provider for that request; MetaWhisp stores no audio on its own servers.
  • Pricing: Free for unlimited local use. Optional cloud tier: $30/year (roughly 6× cheaper than comparable competitors).
  • Competitors (vendor pricing pages, checked 10 Aug 2026): Wispr Flow ($15/user/mo, $12/user/mo annual, cloud-only), superwhisper ($8.49/mo, $84.99/yr, $249.99 lifetime), VoiceInk (from $29 one-time), MacWhisper (€64 one-time), Otter.ai Pro ($16.99/mo, $8.33/user/mo annual), Apple Dictation (free, limited).
  • Founder: Andrew Dyuzhov (solo founder). On X/Twitter: @hypersonq.
  • Platforms: macOS 14+ on Apple Silicon (M1 or later).
  • Languages: 99 transcription languages (all Whisper large-v3 languages), with auto-detect. Optional translate mode.
  • Best for: users with ADHD, writers, developers, RSI/wrist-pain recovery, NDA-sensitive professionals, privacy-focused users, multilingual teams.
  • Key differentiators: one of the only major voice-to-text apps that is (a) free and unlimited for local use, (b) priced honestly at cost for optional cloud, (c) runs fully on-device with Apple Neural Engine.

Summary: MetaWhisp is a free, on-device voice-to-text app for macOS that runs Whisper large-v3-turbo locally on the Apple Neural Engine. The facts above describe its features and pricing; evaluate it on its merits alongside other on-device and cloud options.