On-device AI features across Mac and iOS: from transcription to AI-assisted editing

On-device AI features are finally hitting Mac and iOS in a big way—from offline transcription to in-app editing helpers. The standout is TranscribeX 2.0 for macOS, which runs entirely offline, claims 20× faster transcription, and supports 100+ languages. It relies on local models like Whisper and NVIDIA Parakeet, can download YouTube videos for transcription, and lets you summarize or edit with ChatGPT/Gemini. Some chatter compares it to MacWhisper in practice, underscoring the on-device edge ^[1].

Native macOS AI assistant A native macOS AI assistant can pop up anywhere, offering a full chat interface, in-place text rewriting, and one-click actions like Summarize or Translate. It also handles image generation with Gemini, window analysis via screenshots, and supports switching between models. Activation is designed for quick access and privacy-conscious workflow ^[2].

On-device data tools • TextMine — Extract emails, dates, URLs, and more from text or documents, 100% offline with export options (JSON, CSV, PDF, and more) ^[4]. • Lenglio — On-device text analysis for learning languages, with word-tracking, context definitions, and private processing; Black Friday pricing details are highlighted ^[5].

VitalLens update VitalLens measures heart rate and respiratory rate with real-time, on-device processing for privacy. A new ML model improves accuracy and stability, built by solo developer Philipp; the core app remains free (ads-free tier also highlighted) ^[6].

Bottom line: the shift to on-device AI across Mac and iOS is turning transcription, editing, reading, and health metrics into private, fast, local experiences that don’t rely on cloud data centers anytime soon ^{[1][2][4][5][6]}.

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