Screenshot Memory Bookmark With AI Intent and OCR Actions
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Solution Overview
Problem
Existing technologies fail to efficiently organize and utilize the potential of screenshots or photos, leading to information overload and inefficiency in managing digital information.
Innovation Solution
Implementing computer vision and deep learning techniques to derive specific information from screenshots or photos, and take purposeful action based on that information, providing automated actions, dynamic metadata, and effective context-related resurfacing of screenshot content to effectively fulfill a screenshot's intention to remind a user of critical information and streamline daily life tasks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users manually manage screenshots and photos across different applications, then information can be stored, but information overload and difficulty in retrieval occur
Solution Approach 1:
The patent introduces an intermediary system (media management application with AI processing) that acts as a mediator between the user and the scattered media files. This intermediary automatically processes screenshots and photos, extracts meaningful information, and organizes them into a unified structure, reducing the complexity of manual management while preventing information loss through intelligent categorization and retrieval capabilities.
Solution Approach 2:
The system implements self-service through automated AI processing of media files. The intent-based image understanding model and OCR model automatically analyze screenshots and photos, extract relevant information, and organize them without requiring user intervention. This self-organizing capability reduces management complexity while ensuring information is preserved and easily retrievable.
2Adaptability or versatility
If multiple applications are used to manage different types of media, then specific media types can be handled, but media multitasking and information scattering occur
Solution Approach 1:
The patent implements a universal media management system that handles multiple types of media (screenshots, photos, and potentially other visual content) through a single application. The AI-powered processing engine provides multi-functional capabilities including image understanding, text extraction via OCR, intent recognition, and automated organization, replacing the need for multiple specialized applications while consolidating information in one place.
3Productivity
If automated processing is applied to all screenshots, then information extraction efficiency improves, but processing time and computational resources increase
Solution Approach 1:
The system applies partial processing by focusing computational resources on extracting only the most relevant information from screenshots based on intent classification. Rather than processing every pixel or detail equally, the AI models prioritize extraction of key elements (text, objects, intent) that provide the most value, reducing overall processing time while maintaining high information extraction efficiency for the most important data.
Data Source
AI summary
A method includes obtaining, by a processor, an image captured in response to an input from a user, the image comprising a screenshot or a photo. The method also includes processing, by the processor, the image using an intent-based image understanding model and an optical character recognition model to extract information from the image. The method further includes recommending, by the processor, at least one automatic action to be taken based on the extracted information. In addition, the method includes, in response to a validation by the user of the at least one automatic action, performing, by the processor, the at least one automatic action.