PH Deck

Users face the challenge of extracting clean text or markdown from websites, which may be time-consuming and inconvenient.

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

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 need to manually continue their text when writing on websites, which can be time-consuming and interrupt workflow.

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

Users struggle with extracting text from PDFs, which is time-consuming and requires additional software or tools.

Users struggle with inconsistent text formatting across platforms and documents, leading to inefficiencies and a lack of professionalism.

Drawbacks include the time-consuming manual effort required to ensure consistent text format, potential for human error, and the inability to quickly switch between different text styles.

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 struggle to extract text from images quickly and accurately, leading to inefficient manual transcription and data entry tasks.

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.