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[0.9.2] — 2026-07-18 — Fix: runs on macOS 13+ again
Fixed
Release builds now run on macOS 13 and later as documented. The binary was being
stamped with the build machine's macOS as its minimum (so CI-built 0.9.0/0.9.1 refused
to launch on anything older than the runner). The build now passes an explicit -target arm64-apple-macos13.0, kept in sync with LSMinimumSystemVersion.
[0.9.1] — 2026-07-17 — Both models named everywhere
Changed
Settings → General now names the active model next to the engine switch: whisper-large-v3-turbo (Groq cloud) or GigaAM v3 — runs on this Mac.
The About window tagline and the README headers (both languages) mention both engines
consistently — cloud Groq Whisper and the local GigaAM model.
[0.9.0] — 2026-07-17 — Local offline engine (GigaAM)
Added
Local offline speech recognition (opt-in). A new engine switch in Settings → General:
Cloud (Groq) or Local (offline). The local engine runs Sber's GigaAM v3 model entirely
on-device via CoreML (Apple Neural Engine): no internet, no API key, punctuation out of
the box. The model (~400 MB, precompiled CoreML) is downloaded once from a GitHub release
asset with a progress bar and SHA-256 verification; while it downloads, dictation keeps
using the cloud. It can be deleted anytime in Settings → Data ("Delete Local Model").
If the cloud is unreachable and the local model is installed, dictation automatically
falls back to it with an unobtrusive system notification. Limitations: English words may
come out transliterated in Cyrillic; the vocabulary hint remains cloud-only, while AI term
correction works with both engines (it needs a key and network).