US20240242017
2024-07-18
Physics
G06F40/149
Techniques for generating streamable pages from digital documents are introduced to enhance the rendering process across various devices. A page generator module creates individual pages that include metadata at the start, which is essential for controlling how these pages are rendered by a receiving device, such as a printer. This innovative approach allows for the rendering of pages as they are received, rather than requiring the entire document to be processed first.
Digital documents often face challenges due to their increasing size and complexity. Traditional formats, like the portable document format (PDF), while designed for interoperability, require the entire document to be loaded before rendering can occur. This limitation can hinder devices with restricted memory or processing capabilities, such as legacy printers, from effectively handling larger documents.
The page generator module plays a crucial role in transforming digital documents into streamable formats. It constructs data structures that identify which objects belong to each page and ranks them by importance for rendering. The module then writes these objects and their associated metadata at the beginning of each streamable page, enabling efficient rendering without needing to wait for all data to be received.
By leveraging metadata that specifies object locations and types within streamable pages, the rendering engine can process and display content in real-time. This capability significantly enhances operational efficiency, particularly for older devices that struggle with conventional formats. The system's design ensures that even legacy devices can benefit from modern document processing techniques without sacrificing quality.
An example environment illustrates how these techniques can be applied across various sender devices, from powerful computers to mobile devices with limited resources. The digital document system processes documents formatted in a portable document format, ensuring that all components are correctly arranged for optimal performance. This flexibility allows for cloud-based or localized processing, making it adaptable to diverse user needs.