Blog Articles - pdf layers

Summary: This article demonstrates how to create a highly intuitive tool for generating GoToR links by using two side-by-side instances of Apryse WebViewer. By utilizing a custom button in a dual-viewer setup, developers can enable users to select text and link it directly to a document's current page in a view-only pane, eliminating the need for manual metadata entry.

Summary: Moving text from a PDF into an application often fails when developers treat every document the same way. This practical, code-first tutorial breaks down document processing into three tiers: basic text extraction, OCR pre-processing for scanned files, and layout-aware AI extraction for complex data. Learn when to use each approach, how to implement them using Python, and how to navigate the infrastructure choice between cloud APIs and on-premises deployments.

Summary: AI-powered document parsing delivers higher accuracy than rule-based extraction because it understands document context, layout, and structure rather than relying on fixed templates. While rule-based systems work well for standardized forms, they require ongoing maintenance and often fail when document formats change.

In this article, learn the key differences between AI-powered document parsing and rule-based extraction, including how each approach works, where they perform best, and why machine learning models often achieve higher accuracy for document automation across diverse PDF formats.

Summary: As the Apryse Answers: Reddit Rundown video series continues with episode 2, check out this article and the video to see April's demo app, demonstrating Apryse PDF conversion capabilities for a variety of formats and use cases. Apryse SDK supports PDF to Office, PDF to image, image to PDF, and Office to PDF conversions.

When it’s time to add new capabilities to a software project, developers and leaders face the decision: build or buy? Juume AI faced this decision during development of the AI compliance platform CapraOne.