PH Deck

Users manually extract data from various document formats, leading to time-consuming processes, human errors, and inefficient handling of unstructured or complex files.

Users manually organizing files on macOS face a time-consuming and error-prone process leading to clutter in selected folders.

Users face challenges in translating large files efficiently and accurately

Challenges: Time-consuming manual translations, errors in translated content, limited file formats supported

Users manually extract data from unstructured documents (PDFs, images) which is time-consuming and error-prone due to inconsistent formats and unreliable OCR tools

Users need to extract structured data from various sources but rely on traditional web scraping limited to websites, which cannot capture data from desktop apps, mobile apps, or games and may lack accuracy.

Users struggle to extract data accurately from financial statements, invoices, bank statements, and other financial documents.

Drawbacks: Manual data extraction processes are time-consuming, error-prone, and inefficient.

Users face challenges in organizing and renaming files, leading to inefficiencies in file management processes

Users struggle to transform Excel files into data dashboards and analysis reports efficiently, spending extensive time on data analysis and report writing. The process is often manual, slow, and prone to errors, which hampers productivity and efficiency.

Doctors in non-EMR hospitals struggle to manage patient data effectively due to handwritten prescriptions, which makes it difficult to accurately and efficiently extract data.

Users needing to extract and analyze information from multiple PDF, CSV, & TXT files face challenges in efficiently managing and understanding the vast amount of data contained within these documents. The drawbacks include time-consuming manual searches and difficulty in synthesizing information across multiple sources.