Google releases offline AI note-taking app with 740M-parameter model for Apple Silicon Macs

Reviewed byNidhi Govil

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Google unveiled AI Edge Foresight, a privacy-focused alternative to Granola that transcribes meetings completely offline using its on-device EmbeddingGemma 2 model. The Mac app processes meeting audio locally without cloud connectivity, offering real-time transcription and AI-powered meeting note-taker capabilities across Google Meet, Zoom, and in-person conversations.

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Google Launches Privacy-First AI Meeting Companion

Google has released Google AI Edge Foresight, an AI note-taking app designed to transcribe meetings completely offline using local and private AI processing

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. The Mac application runs entirely on-device using the EmbeddingGemma 2 model with 740 million parameters, positioning itself as a privacy-focused alternative to popular tools like Granola

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. Unlike most AI-powered meeting note-taker solutions that rely on cloud processing, Foresight keeps all files, meeting audio, recordings, and transcripts exclusively on your computer

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The app is optimized specifically for Apple Silicon Macs and can function completely without an internet connection, making it useful when traveling or in areas with poor connectivity

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. Google emphasizes that your personal information never leaves your device, addressing growing privacy concerns around cloud-based AI tools

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Dual-Pane Interface Mirrors Granola's Approach

Google AI Edge Foresight features a split-screen interface reminiscent of Granola, allowing users to write shorthand notes on one side while viewing AI-generated notes on the other

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. Users can jot down quick bullet points during meetings, and the on-device AI model transforms them into polished notes based on the meeting transcript

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The application works seamlessly with Google Meet, Zoom, and offline conversations by capturing audio through your Mac's microphone and system audio

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. It provides real-time transcription alongside manual note-taking capabilities, giving users flexibility in how they document their meetings

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Advanced Knowledge Base and Real-Time Q&A

Beyond basic transcription, Foresight includes sophisticated knowledge management features. Users can upload documents including PDFs, Google Docs, Microsoft Office formats, plain text, Markdown, and web bookmarks to build a knowledge base

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. The multimodal AI model can process text, images, video frames, and audio to create a comprehensive understanding of your work context

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The app features a Gemma 4-powered assistant that enables users to chat and get answers based on meeting transcripts and uploaded documents

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. An innovative Live Assistance feature can detect questions asked during meetings and automatically generate answers in real time by referencing the meeting transcript and knowledge base

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. This capability could prove valuable when specific data points come up during discussions, allowing instant access to relevant information without interrupting the conversation flow.

Competing in a Crowded Market

The AI meeting note-taker space has become increasingly competitive. Recent months have seen dictation company Wispr and scheduling platform Calendly launch their own notetakers

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. Productivity startup Superhuman acquired YC-backed notetaker Fathom last month, signaling continued consolidation in the market

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While most competitors like Scribe, Granola, and Notion AI rely heavily on cloud processing, local-first options like Meetily and Whisper AI have emerged as privacy-conscious alternatives

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. Foresight distinguishes itself by combining the privacy benefits of on-device processing with the sophisticated capabilities typically associated with cloud-based solutions.

What This Means for On-Device AI

Google's release of AI Edge Foresight represents a significant push toward demonstrating the capabilities of its Gemma series of offline models

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. The EmbeddingGemma 2 model functions as an "ultra-low-latency on-device decision engine" designed specifically for privacy-first applications

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Currently available as a free download for Macs with Apple Silicon, the app reportedly has a light footprint and low battery drain

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. Google hasn't announced Windows availability or integration with Gmail, and the current rollout appears experimental

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If successful, Google could release a consumer version that works across video calling apps through its Gemini platform while leveraging cloud models for broader device compatibility

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. The experiment signals Google's commitment to exploring on-device AI capabilities as privacy concerns continue shaping user preferences in productivity tools. Watch for potential expansion to Windows and deeper integration with Google's existing productivity ecosystem.

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