Earlier in April, Google released an AI-powered dictation tool that worked with local models, signaling a growing interest in bringing artificial intelligence capabilities directly onto user devices without relying entirely on the cloud. Now, the very same team at Google has returned with a brand-new application designed to compete directly in the increasingly crowded market for AI meeting assistants, going head-to-head with established tools like Granola and others. The newly introduced software is called Google AI Edge Foresight, and it brings a suite of advanced transcription, summarization, and knowledge management features explicitly tailored for desktop users.
The Mac application is engineered to operate completely offline, leveraging the power of on-device machine learning models to ensure maximum privacy and continuous functionality. Specifically, Foresight utilizes the EmbeddingGemma 2 model, which features 740 million parameters, enabling the system to seamlessly capture meeting notes across various desktop applications, including audio and context gathered from in-person meetings. By running these lightweight yet capable models locally, the software can process sensitive conversations without needing to transmit audio files or transcripts to remote servers.
From a user experience perspective, the app shares striking similarities with Granola, the popular AI-powered meeting note-taker known for its flexible interface. Foresight features a split-screen view that provides users with the ability to write manual shorthand notes on one side of the display while simultaneously viewing AI-generated notes on the other side. This hybrid approach acknowledges that while automated systems are powerful, human professionals often prefer to capture specific thoughts, action items, or nuances manually during a live discussion.
Like Granola, the software allows users to actively take manual notes while the system handles the heavy lifting of transcribing the meeting in real time. Beyond this core transcription capability, Google’s application introduces deeper interactive layers. Users can view the comprehensive transcript of the meeting or directly chat with a built-in assistant powered by the Gemma 4 model to get instant answers, clarify points discussed during the conversation, or extract specific highlights without manually scrubbing through audio or text logs.

Adding another layer of utility, Google AI Edge Foresight allows users to upload a wide variety of documents to construct a personalized local knowledge base. The application supports multiple file formats, including standard PDFs, Google Docs, Microsoft Office documents, plain text files, Markdown documents, and even web bookmarks. By integrating this background information with ongoing meeting notes and transcripts, the application can answer contextual questions in real time. If a topic arises during a meeting that relates to data previously stored in the user’s uploaded knowledge base, the app can surface those relevant insights instantly.
On its official FAQ page, the company specified that Google AI Edge Foresight is heavily optimized for Apple Silicon processors and can operate entirely offline. This technical optimization means that professionals can reliably work with their meeting notes, query past transcripts, and interact with their accumulated documents even when they are traveling, working from remote locations, or dealing with an unstable or nonexistent internet connection.
While Google’s earlier dictation app released earlier in the year functioned largely as an experimental project that did not achieve widespread mainstream adoption, this new meeting note-taker serves a broader purpose. Beyond being a standalone productivity tool, Foresight may act as a powerful showcase for the capabilities and efficiency of Google’s growing Gemma series of offline models, demonstrating how high-performing AI can operate locally on consumer hardware.
At the same time, industry observers note that Google could eventually translate these underlying concepts into a consumer-facing version of a meeting note-taker. Such a future product could potentially integrate across various video calling applications through the broader Gemini app ecosystem, relying on cloud-based models for heavier processing tasks while still offering local alternatives for privacy-conscious users.
The meeting note-taker software space has rapidly evolved into a fiercely competitive and crowded market, characterized by heavy venture capital investment and aggressive corporate acquisitions. Despite the saturated landscape, technology companies and startups continue to rush their own tools to market in a bid to capture professional workflows. In the months leading up to Google’s release, the dictation company Wispr prepared to launch its own meeting note-taker by updating its terms of service, while scheduling platform Calendly officially threw its hat into the ring with a dedicated note-taking feature of its own. Meanwhile, productivity startup Superhuman, formerly known as Grammarly, made waves in the industry by acquiring the YC-backed note-taking platform Fathom, highlighting a broader push by productivity platforms toward agentic and automated work environments.
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