Test your knowledge in live multiplayer Jeopardy-style trivia battles with AI-assisted grading that recognizes correct answers even with spelling mistakes.
CrayEye
Interpret your environment using multimodal LLMs and sensor data like location or weather to craft highly contextual visual AI prompts for mobile devices.
No paid plan
Free
About CrayEye
CrayEye is an open-source multimodal tool designed to help users experiment with visual Large Language Models (LLMs) by integrating real-world context directly into prompts. Unlike standard AI chatbots that rely solely on image uploads, this mobile application leverages a device's hardware—including the camera, GPS, and various sensors—alongside external APIs to enrich the data sent to the model. By combining visual input with environmental factors like location and weather, it allows for a more nuanced and accurate interpretation of the world around the user. The platform functions as a multitool for visual AI, offering a library of featured prompts that users can immediately deploy to identify objects, estimate weights, or count calories. Beyond pre-set options, the application features a robust prompt editor where users can customize instructions and decide which sensor data should be included in the request. This level of customization enables a feedback loop where the AI can see and feel the environment through the lens of the smartphone, providing answers that are specific to the user's current physical context. Targeted at hobbyists, AI researchers, and developers, CrayEye serves as both a practical utility and a sandbox for testing the boundaries of vision-language models. Because it is entirely open-source, developers can inspect the code on GitHub or learn about its unique creation process, which was heavily driven by AI assistance. This transparency makes it a valuable resource for those interested in the mechanics of mobile-based AI development and multimodal interaction design. What distinguishes CrayEye is its focus on community and sharing. Users are not restricted to their own creations; they can share custom prompts with friends or download prompts created by others. This collaborative approach, paired with its free-to-use nature on both iOS and Android, removes the barrier to entry for high-level multimodal experimentation. It transforms the smartphone from a simple communication device into an intelligent environmental interpreter that evolves based on the collective creativity of its user base.
CrayEye pros & cons
Pros
- Integrates real-world sensor data like location and weather for better context.
- Completely free and open-source for users and developers.
- Available on both iOS and Android platforms for wider accessibility.
- Allows users to share and download custom multimodal prompts with friends.
- Provides a library of featured prompts for immediate environmental analysis.
Cons
- Functionality is dependent on the availability of multimodal LLM APIs.
- Requires active camera and sensor permissions to function as intended.
- Interface may be technically challenging for users unfamiliar with prompt engineering.
- Limited to mobile devices to leverage built-in sensor features.
CrayEye use cases
- Outdoor enthusiasts can use the bird identification features to learn more about the wildlife and plants they encounter.
- AI developers can study the open-source repository to understand how to integrate smartphone sensor data with LLM prompts.
- Casual users can utilize calorie counting and weight estimation prompts for quick visual assessments via their camera.
- Prompt engineers can use the mobile editor to test and refine instructions that require environmental context like weather or location.
CrayEye features
- open-source codebase
- community prompt library
- cross-platform mobile support
- ai-driven development model
- api-infused prompting
- sensor data integration
- custom prompt editor
- camera-based environment analysis
CrayEye pricing
Is CrayEye free? Yes, CrayEye has a free plan.
Free
Free
- Open-source codebase access
- iOS and Android applications
- Multimodal vision prompts
- GPS and weather sensor integration
- Custom prompt editor
- Community prompt sharing
- Real-time camera analysis
CrayEye FAQs
What makes CrayEye different from other AI vision tools?
CrayEye uniquely integrates real-time sensor data from your smartphone, such as your location and current weather, into your prompts. This provides the AI with environmental context that standard image-recognition tools typically lack.
Is CrayEye available on mobile devices?
Yes, the application is available for download on both the Apple App Store and Google Play Store. It is designed specifically to work with smartphone hardware like the camera and GPS.
Can I customize the prompts used in the app?
The app includes a dedicated prompt editor where you can create new prompts or modify existing ones. You can adjust the text instructions and choose which specific sensors should contribute data to the LLM.
Is the source code for CrayEye available to the public?
CrayEye is an open-source project, and the full source code can be viewed and accessed on GitHub. This allows developers to see how the app handles multimodal inputs and AI-driven development.
How do I share my prompts with other people?
Within the app's prompt library, each entry features a context menu with a share option. This allows you to send your custom-crafted multimodal prompts to friends or other users.
Ratings & reviews
No reviews yet. Be the first to share how CrayEye worked for you.
Sponsored tools
Connect with engaged niche audiences or monetize your subscriber base through an automated marketplace featuring verified metrics and secure Stripe payments.
Swap characters, backgrounds, or styles in any video while preserving original motion and camera paths. Perfect for digital marketers and creators.
Track brand citations and mentions across Google AI Mode, ChatGPT, Claude, and more. Discover top-cited sources and queries with zero signup required.