PH Deck

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

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

Users may face challenges in extracting text from images or PDFs on Mac, leading to time-consuming manual transcription processes.

Users face challenges in extracting text from images, handwritten notes, and PDF documents

Drawbacks: Manual transcription is time-consuming and prone to errors, especially with multiple languages and handwriting styles

Users need to extract text from images, such as printed text, handwritten notes, or screenshots. The existing process can be cumbersome and often requires manual transcription, which is time-consuming and prone to errors. The drawbacks of the old situation include the difficulty to quickly and accurately find and extract desired text from various image formats and languages.

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.

Users struggle to manually describe and analyze content within images, making it time-consuming and tedious.

Current situation: Users struggle to extract images and text manually from PDF files, which can be time-consuming and prone to errors.

Drawbacks: Users have to deal with potentially tedious processes to extract and separate images and text.

Users struggle to add text behind images, objects, or people in a hassle-free manner using existing photo editing apps. The process is often cumbersome and time-consuming, with limited customization options.