Intel MacBook users had no installable artifact: the release matrix only built aarch64-apple-darwin, and Rosetta 2 cannot run arm64 apps on Intel (it only translates the other direction) — the rationale in the old "Intel dropped" comment was backwards. Refs #279. - Add a native `macos-15-intel` matrix leg (GitHub's designated x86_64 migration target after macos-13 retired Dec 2025; standard image, supported through Aug 2027) building --target x86_64-apple-darwin with app,dmg,updater bundles. - Existing per-TRIPLE steps already carry x86_64-apple-darwin cases (uv sidecar tar.gz, evermeet.cx ffmpeg/ffprobe — x86_64 Mach-O, natively correct on Intel), so the leg flows through the same Bundle/Build/Smoke/Verify steps untouched. - The PR #290 signing path applies automatically: ad-hoc seal from tauri.conf.json signingIdentity "-", opt-in APPLE_* stable signing, and scripts/verify-macos-signing.sh both gated on runner.os == macOS. - tauri-action includeUpdaterJson merges the new darwin-x86_64 platform key into latest.json alongside darwin-aarch64, so Intel installs auto-update on both Stable and Preview channels. - docs/install/macos.md: table telling users which DMG (aarch64 vs x64) matches their Mac, and the from-source fallback for old releases. Co-authored-by: mergetest <test@local> Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
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OmniVoice Studio — Install on macOS
This page is self-contained: follow it top to bottom and you'll end up with a working OmniVoice Studio install on macOS (Apple Silicon or Intel).
Prerequisites
- macOS 12 (Monterey) or newer — Apple Silicon or Intel.
- Python 3.11+ —
brew install python@3.11(or usepyenv/ the system Python if you already have ≥3.11). - Bun —
curl -fsSL https://bun.sh/install | bash. - Xcode Command Line Tools —
xcode-select --install. - FFmpeg (used by the dubbing + capture pipelines) —
brew install ffmpeg.
Optional but recommended:
- A Hugging Face account for diarization and the larger TTS models. See docs/setup/huggingface-token.md.
Install (from source)
git clone https://github.com/debpalash/OmniVoice-Studio.git
cd OmniVoice-Studio
bun install
bun run desktop-prod
The first launch builds the Tauri shell, creates the Python venv via uv,
syncs deps, and downloads model weights (~2.4 GB). The splash screen shows
live progress for every step.
Install (pre-built .app)
Download the latest DMG from the
Releases page,
double-click to mount, drag OmniVoice Studio.app into /Applications.
Pick the DMG that matches your Mac (check Apple menu → About This Mac → Chip/Processor):
| Mac | DMG to download |
|---|---|
| Apple Silicon (M1/M2/M3/M4…) | OmniVoice.Studio_<version>_aarch64.dmg |
| Intel | OmniVoice.Studio_<version>_x64.dmg |
The architectures are not interchangeable: an Intel Mac cannot run the
aarch64 build (Rosetta 2 only translates the other direction — it lets Apple
Silicon run Intel apps, never the reverse). If a release predates the Intel
build target and has no x64 DMG, use the
install-from-source path above instead.
If the first launch is blocked by macOS Gatekeeper ("OmniVoice Studio cannot be opened because the developer cannot be verified"), see the next section — it opens with one right-click, no Terminal.
App is "damaged" / can't be opened (Gatekeeper)
On first launch you'll see "OmniVoice Studio cannot be opened because the developer cannot be verified" — macOS Gatekeeper blocking an app it can't trace to a paid Apple Developer account (issues #134, #72).
Why: the build is ad-hoc code-signed (a valid signature, free) but not
yet notarised by Apple, so macOS quarantines any copy downloaded from the
internet and asks you to confirm the first launch. This is expected for
open-source builds — releases are notarised (warning-free) only once the
project's Apple Developer ID pipeline is funded (see "For maintainers" below).
Confirming is safe because you downloaded from the official repo / Releases
page; for belt-and-braces, verify the SHA-256 against the *.dmg.sha256 checksum
on the release page first.
Fix — GUI, no Terminal (do this): in Finder, right-click (or Control-click) OmniVoice Studio.app → Open → click Open again in the dialog. (On macOS 15 Sequoia: double-click once, then go to System Settings → Privacy & Security, scroll down, and click "Open Anyway".) This is a one-time confirmation per install; afterwards it launches by double-click.
If you instead see the harsher "app is damaged and can't be opened. Move to Trash" with no Open option, the download was corrupted or it's a pre-signing build — re-download the latest release, or use the Terminal fallback below.
Fix — Terminal: after dragging the app into /Applications, run:
xattr -dr com.apple.quarantine "/Applications/OmniVoice Studio.app"
(Adjust the path if you put the app somewhere other than /Applications. The
broader xattr -cr "/Applications/OmniVoice Studio.app" also works — it clears
all extended attributes rather than just the quarantine flag.)
That clears the quarantine attribute so Gatekeeper stops blocking the launch — a one-time fix per install.
For maintainers — enabling notarised builds
The release workflow (.github/workflows/release.yml) is already wired to
code-sign + notarise the macOS bundle; it activates automatically once these
repository secrets are set (it skips signing — producing today's unsigned
build — when they're absent):
| Secret | What |
|---|---|
APPLE_CERTIFICATE |
Developer ID Application cert, exported as a base64-encoded .p12 |
APPLE_CERTIFICATE_PASSWORD |
password for that .p12 |
APPLE_SIGNING_IDENTITY |
e.g. Developer ID Application: Your Name (TEAMID) |
APPLE_ID |
Apple ID email used for notarisation |
APPLE_PASSWORD |
an app-specific password for that Apple ID |
APPLE_TEAM_ID |
your 10-char Apple Developer Team ID |
Requires a paid Apple Developer account ($99/yr). Once set, downloaded DMGs open without the quarantine step.
Apple Silicon vs Intel
- Apple Silicon (M-series): OmniVoice automatically picks the
mlx-whisperandmlx-audiobackends where available — these use the Apple Neural Engine and Metal Performance Shaders for ~2× the throughput of the CPU path. - Intel macs: falls back to
faster-whisper(CTranslate2) on CPU. Still fast; just no ANE acceleration.
The picker in Settings → Engines shows which backend is active.
Hugging Face token (optional but recommended)
The default install works without a token, but diarization (the
pyannote/speaker-diarization-3.1 model) is gated and the larger
voice-design engines also download faster with a token attached.
- Open Settings → API Keys in the app.
- Or set the env var
export HF_TOKEN=hf_…in~/.zshrc.
Full details: docs/setup/huggingface-token.md.
Troubleshooting
Hit a wall? See docs/install/troubleshooting.md.
The in-app error UI (the React error boundary that fires on backend errors) includes an "Open docs for this error" button — that button deeplinks back into this docs tree at the right section for the error class.