PH Deck

Users currently rely on manual counting or basic text editors for word/character tracking, which are time-consuming and error-prone. Existing solutions often lack speed, privacy (client-side processing), and mobile optimization.

Users need to count words and characters manually or use basic tools like Microsoft Word, which is time-consuming and cluttered with ads, and not optimized for mobile devices.

Users manually count words with basic text editors manually count words with basic text editors, causing time-consuming processes and inaccurate character/paragraph statistics for precise formatting requirements

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.

Users need to manually count words and characters in documents time-consuming and prone to errors + lack integrated readability and multilingual analysis limiting content optimization efficiency

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

Users rely on traditional word counting tools that are slow, cluttered with ads and popups, and lack privacy-focused features, leading to inefficient and frustrating document analysis.

Users need to count words and characters across multiple document formats (PDF, DOCX, TXT, URLs, etc.) manually or with basic tools, which is time-consuming and lacks support for diverse formats or privacy.

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

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