PH Deck

Users need to count text metrics (characters, words, sentences) but rely on slow, non-private tools requiring logins or lacking real-time updates and export options.

Users need to count words and characters manually or with basic tools, which is time-consuming and prone to errors.

Users need to manually count or use basic tools like Word for text metrics, which lacks real-time, detailed stats (characters, words, sentences, paragraphs, spaces) and is time-consuming.

Users need to count the number of characters, words, and paragraphs from text, docx, pdf, or image files manually

Limitations in accurately counting characters, words, and paragraphs in different file formats and text lengths

Users need to manually count words and characters in their text, which can be time-consuming and prone to errors.

Users need to manually check word count, character count, reading time, and readability scores using fragmented tools or manual methods. checking word count, character count, reading time, and readability scores efficiently

Users currently count characters and words manually or with simple software, which are not efficient and lack detailed insights.

Drawbacks include the inability to provide in-depth text analytics and the manual effort required.

The current situation for users involves manually counting words, characters, and pages in PDF files. This method is time-consuming and prone to errors. A significant drawback is the need to accurately ***count words, characters, and pages*** in PDF files without specialized tools.

Users need to manually count text elements like words and characters, leading to inefficiency and potential inaccuracies.

Users rely on basic word counters (e.g., Microsoft Word, Google Docs) for content creation and editing, which are limited to basic word and character counts without advanced metrics like reading time, keyword density, or detailed text analysis.