Google releases free AI Edge Foresight, a Mac note-taking app that transcribes meetings fully offline

Google has released AI Edge Foresight, a free, experimental note-taking app for macOS that transcribes meetings and audio files entirely offline. The app runs on Google's on-device EmbeddingGemma 2 model, according to The Verge, which cited earlier reporting by TechCrunch.

What the app does

• Offline transcription: Foresight transcribes meetings and audio files locally, with no cloud connection required.
• Note enhancement: Users type shorthand bullet points during a meeting. Google says the app turns them into "polished notes" based on the transcript.
• Built-in assistant: An assistant answers questions about what was said in a meeting.
• Local file context: Users can connect local files, which the assistant can reference when answering questions.
• Privacy: Google says files, meeting audio, and notes "never leave your computer." This is a company claim. No independent verification or security audit has been reported.

Availability and specs

Detail	Status
Platform	macOS only
Hardware	Optimized for Apple Silicon Macs
Price	Free
Status	Experimental
Model	EmbeddingGemma 2 (per The Verge)
Parameter count	Not disclosed
Context window	Not disclosed
Benchmarks	None published
Windows, Linux, mobile support	Not announced

The app joins a growing category of AI meeting-note tools. The Verge compares it to Granola and Wispr Flow. Google's differentiator is on-device processing.

Open questions

The source reporting names EmbeddingGemma 2 as the underlying model but does not explain how it handles speech transcription. Embedding models typically convert text into vectors for retrieval and similarity search, rather than generating speech-to-text or summaries. Foresight may combine several on-device components, such as a speech recognition model, a generative model for note enhancement, and an embedding model for retrieving local files. Google has not detailed that architecture in the material reviewed. It has also not published transcription accuracy figures, supported languages, minimum RAM requirements, or storage footprint.

What this means

For teams that handle sensitive meetings, such as legal, healthcare, finance, or unreleased-product discussions, the main barrier to AI note-takers has been sending audio to third-party servers. A free, local-only option from Google addresses that objection directly, provided the privacy claims hold up under scrutiny.

The launch also shows Google using its AI Edge tooling to ship a complete consumer-facing application rather than only developer components. The Apple Silicon-first focus suggests the app depends on local compute and memory bandwidth that current Macs provide.

The "experimental" label matters. Without published accuracy benchmarks, language coverage, or hardware requirements, it is too early to say how Foresight compares with cloud-based competitors, which can run larger models. The practical test will be transcription quality and summary reliability on real meetings with multiple speakers and technical vocabulary.

This is a product launch built on an existing model, not a new model release.