PH Deck

Users struggle with extracting text from images and scanned documents, resulting in inefficient workflows and manual efforts. Extracting text manually from images can be time-consuming and error-prone, especially for digital documentation and data entry tasks.

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

Users often struggle to scan and extract text from images efficiently, especially when dealing with documents in multiple languages.

Users need to manually extract text from images, which is time-consuming and prone to errors due to manual transcription efforts and potential inaccuracies.

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

Users need to create custom images manually or with complex design tools, requiring significant time and design skills, leading to inefficiency and limited creative output.

Users need to manually extract text from images and use separate translation tools, leading to inefficiency and time consumption.

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 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 need to manually type or use basic tools to extract text from images, leading to time-consuming processes and limited format support (e.g., PDF, JPG, PNG).