LLM Vision Card is a smart timeline card designed for Home Assistant dashboards, providing users with a detailed and interactive view of events occurring around their home. The card integrates with LLM Vision’s Timeline, displaying both automated AI-generated events and custom events added by the user. Its primary function is to help users monitor activities such as people, cars, deliveries, and pets seen near their home, as well as any other custom-defined events.
Key features include a Preview Card that allows users to quickly see the most recent event at a glance, with the option to tap for more detailed information. The card supports advanced filtering based on event categories, making it easier to find relevant events. Intelligent icons and color coding are automatically selected based on the event title, enhancing glanceability and visual clarity. A snapshot image is shown for each event, and users can access an AI-generated summary and detection time for deeper insight.
The interface is multilingual, currently supporting English, German, Dutch, French, Spanish, Portuguese, Italian, Polish, and Swedish, with new languages added regularly. Users can add their own custom events to the timeline, in addition to camera-analyzed events. The system gives users control over event storage: events are only saved if the 'remember' setting is enabled, and can be automatically classified as important for selective retention. All events are stored locally, prioritizing user privacy.
LLM Vision Card requires the LLM Vision Timeline provider to function and is installed via HACS for integration with Home Assistant dashboards. This tool is intended for smart home users seeking a comprehensive and customizable way to visualize and manage home events within their Home Assistant environment.
LLM Vision sits in PulseGate's Smart home & IoT category. It allows Home Assistant users to visualize and filter smart home events in a timeline card format. It is built as an open-source project for Home Assistant users. LLM Vision is open source under the Apache-2.0 license. The product ships for the web.
valentinfrlch builds and maintains LLM Vision, and the product first shipped in 2025. Development happens publicly on GitHub with 99 stars and 15 commits in the last 90 days. Key capabilities include timeline view, event filtering, and custom events.
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