PH Deck

Users handle document processing manually or with specialized tools, facing time-consuming, error-prone verification and high costs/integration complexity.

The current situation involves users facing challenges in signing documents physically. This process is time-consuming and often requires printing, signing, scanning, and sending documents back, which can be cumbersome and inefficient.

Users struggle to create e-signatures for various documents, making the process time-consuming and inconvenient. Users need a solution to simplify the e-signature creation process.

Users need to manually create or scan handwritten signatures for digital documents, which are time-consuming to design, lack professional consistency, and pose security risks if poorly stored or shared.

Users need to integrate document viewing capabilities into RAG applications but face limited support for multiple document formats and low rendering quality with traditional solutions, leading to fragmented user experiences.

Users create signatures manually for digital documents, contracts, or emails which is time-consuming and lacks professional consistency

Users need to protect sensitive documents and images, and traditionally this is done using offline software or services. The drawback of this old situation is that it often requires downloading software, poses security risks by transferring files online, and lacks the convenience of a simple and secure method for adding watermarks directly in the browser.

With the old solution, users struggle to find their current geographical coordinates accurately as they have to rely on multiple apps or manual methods. The drawbacks are: having to use multiple tools to gather location data and ensuring the precision of this information.

Users manually create signatures or use basic digital tools, leading to time-consuming processes, lack of personalization, and difficulty extracting signatures from physical documents.

Users rely on manual document processing for classification, extraction, and fraud detection, which is time-consuming, error-prone, and difficult to scale.