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Google AI Edge Foresight is an experimental Mac meeting companion that listens to a meeting and adds conversational context to shorthand bullets you type. Google says it processes audio and other personal information on-device and can work offline. The feature description is about manually entered shorthand—not handwriting recognition or turning photographed scribbles into text.
What Google AI Edge Foresight does
Google announced Foresight on October 6, 2026, as an experimental Mac app. Its central workflow pairs brief notes you enter during a meeting with information retrieved from the conversation. Google describes the feature as enriching “manual shorthand notes” with details from the current meeting; 9to5Google likewise describes typing shorthand bullets for things to remember. Neither description establishes OCR or handwriting transcription. Google’s announcement and 9to5Google’s report describe the workflow.
How the notes are enriched
You provide the shorthand; Foresight is meant to use the meeting conversation as context to flesh it out. That is different from a general-purpose transcription service that simply produces a complete transcript without your prompts. The available descriptions do not establish how accurately it transcribes speech, how it handles overlapping speakers, or how complete its resulting notes are.
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Google says Foresight integrates with system audio and the microphone, works with any meeting platform, and can operate completely offline. Google also says processing happens locally on the device. These are the company’s product claims; the sources available do not independently verify offline behavior, privacy implementation, or compatibility with each meeting app. Google’s announcement is at Google Developers Blog.
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“Offline” means the app is presented as able to perform its meeting workflow without a network connection; it should not be read as proof that every setup, model download, file source, or integration works without connectivity. The sources do not detail setup requirements or explain whether all library sources remain available offline.
Can Foresight search files and past context?
Google presents Foresight as a local search and recall tool for a personal knowledge library. It says users can retrieve across images, documents, transcripts, and notes with natural-language queries. 9to5Google reports that users can point it to project folders and reference material, including diagrams, calendar information, local files, and Google Drive. That reporting is not a complete format or integration list, and the specific integrations have not been independently verified. See the Google announcement and 9to5Google’s coverage.
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What Mac does it require?
The cited sources do not state Foresight’s minimum macOS version, supported Mac models, memory requirements, or other system requirements. Google’s model figures should not be mistaken for Mac requirements: its EmbeddingGemma 2 description gives memory examples for a Google Pixel 11 Pro, not a Mac.
Google describes EmbeddingGemma 2 as a 740-million-parameter multimodal model. It reports approximately 191 MB of active RAM for text-only weights and approximately 567 MB for the full multimodal model after quantization on a Google Pixel 11 Pro. Those figures apply to that named Pixel example and do not establish the memory Foresight needs on a Mac. Google also reports visual embedding latency of 37.3 milliseconds per image, or 26.9 images per second, on a MacBook M5 Pro GPU. That is a visual-embedding benchmark, not a measurement of Foresight’s note generation or end-to-end speed. Details are in Google’s EmbeddingGemma 2 announcement.
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What is not yet established about the app
Foresight is experimental, and the cited material does not provide an independent review of its practical performance. In particular, it does not establish note quality, transcript accuracy, battery use, end-to-end response time, or the complete set of supported file formats and integrations. Treat Google’s privacy, offline, and performance statements as company claims rather than independent test results.
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