PH Deck

Users often struggle to understand complex visual content on webpages, which can lead to confusion and a lack of engagement.

In the current situation, users struggle to extract text from images manually, which is time-consuming and prone to errors.

Users currently need to manually add watermarks or use basic tools to hide text in images, leading to time-consuming processes and limited functionality for steganography or creative design.

Users with the traditional chatbots face limitations as they can only interact through text, lacking the ability to understand or respond to images.

Users need to create or modify images but rely on complex design software or basic generators, facing time-consuming processes and requiring design skills which limit efficiency and output quality.

Users previously relied on standard image generation APIs that produced lower quality images with limited editing features and poor text rendering.

Users need to remove unwanted text, watermarks, or dates from images manually or with complex software like Photoshop, which requires technical skills and time. Manual edits often leave artifacts or damage the original image quality.

Users rely on existing image generation APIs that are slower and more expensive, leading to higher operational costs and delayed project timelines.

Previous iterations of AI models struggled to achieve human-level performance across a broad range of professional and academic tasks, often leading to errors, lack of versatility, or inability to interpret complex inputs. The struggle to achieve human-level performance represents the primary issue.

Users need to manually remove text from images using complex editing tools like Photoshop, which is time-consuming and requires advanced skills