PH Deck

Users currently rely on traditional Optical Character Recognition (OCR) tools to extract text from images or digitize documents.

These traditional OCR tools have drawbacks like being slow, less accurate, and not efficient enough for high-volume tasks.

Users struggle with scanning various objects or documents efficiently, often requiring multiple tools or apps which complicates the process and results in less efficient and effective scanning solutions.

Users are frustrated with clunky, slow, ad-ridden scanning apps which hinder effective document digitization and create a cumbersome user experience.

Users often face difficulty understanding and accessing EXIF data in digital images, which contains valuable metadata for photography, rights management, and image analysis.

Users frequently jot down notes and ideas on paper but struggle to organize, search, and securely store these handwritten notes digitally, leading to inefficiencies and potential loss of valuable information. The main drawbacks are the difficulty in digitizing, organizing, and searching paper notes.

Users manually extract and analyze colors from websites, which is time-consuming and prone to errors when identifying exact hex codes and usage patterns.

Users manually extract text from images, videos, PDFs, or screen captures, requiring switching between multiple tools and inefficient copy-paste workflows.

Users currently need to rely on professional photography services for creating passport, ID, visa, and other official document photos. The drawbacks of this old situation include having to pay for expensive services, needing to travel to a physical location to get the photos taken, and potentially long wait times for getting the photos ready.

Users struggle to manage and store physical documents efficiently, which often leads to cluttered spaces and difficulty in accessing important information. Physical storage can be cumbersome, prone to loss or damage, and lacks easy accessibility when needed quickly.

In the current shopping experience, users struggle to determine whether products are vegan by examining ingredient lists manually, which can be time-consuming and confusing.

The drawbacks of this old situation include the need to meticulously read and understand ingredient lists, which can be difficult to identify as animal or plant-based without prior knowledge.