Frequently Asked Questions
Everything you need to know about transforming static images into interactive experiences.
Technology & Precision
What is the Spatial Vision Engine?
The Spatial Vision Engine is our proprietary AI-driven layout-aware analysis system. Unlike standard Optical Character Recognition (OCR), it doesn't just 'read' text; it understands the visual context and spatial coordinates of elements. This allows it to identify things like navigation bars, buttons, and embedded links with high precision.
How accurate is the link extraction?
By leveraging Gemini 3 Flash, LinkScreen achieves over 95% accuracy in link detection across standard UI layouts. It can even handle stylized fonts and low-contrast text that traditional systems often fail to process.
Does it work on mobile?
Yes, LinkScreen is fully responsive and works as a PWA (Progressive Web App). You can take a screenshot on your phone, upload it, and interact with the links instantly.
Privacy & Security
Are my screenshots stored?
Your privacy is nuestra priorité. Uploaded images are processed in real-time and are deleted immediately after the interactive session expires. We do not use your private screenshots to train our AI models.
Can anyone else see my interactive links?
No. Each session is private to you unless you explicitly choose to share the result using our 'Share Result' feature. Even then, you have full control over the link's visibility.
Usage & Tips
What formats are supported?
We support all standard image formats including JPG, PNG, WebP, and HEIC. We recommend using high-resolution screenshots for the best spatial mapping results.
Can I copy the extracted links?
Absolutely. You can either click a link to visit it directly or long-press (on mobile) or right-click (on desktop) to copy the URL or a summary of the destination.
The LinkScreen Mission
LinkScreen started with a simple observation: modern digital life involves a lot of visual data that is effectively 'dead'. Whether it's a screenshot of a product on Instagram or a code snippet in a tutorial video, the information is visible but inaccessible. We are building the tools to make this data 'live' again. By combining advanced computer vision with modern web technologies, we are creating a more connected and efficient digital world where every pixel has value.