Apryse Blog

Summary: Scanbot SDK has introduced Document Straightening and Color Document Shadow Removal to address 3D distortions and uneven lighting to increase accuracy. By correcting page curvature and normalizing contrast, these features enhance OCR performance on real-world, imperfect scans for both new captures and existing image processing pipelines.

Summary: Scanbot has released its Barcode and Document Scanner SDKs for Kotlin Multiplatform, enabling developers to integrate enterprise-grade, offline data capture into shared iOS and Android codebases. These KMP libraries provide the same performance and features as native SDKs, including advanced barcode scanning and automatic document processing.

Summary: WebViewer 12.0 introduces TrackedChangeManager, an API for working with tracked changes in DOCX Editor directly from code. It lets developers accept, reject, navigate to, and retrieve tracked changes without requiring interaction through the editor UI.

Summary: This article explains how Apryse Smart Data Extraction converts unstructured PDFs into accurate structured JSON that developers can use in automation and AI workflows. It outlines the advantages of AI based extraction compared to OCR and template driven methods and highlights how Apryse improves data quality and security by running fully on premise.

Summary: Apryse WebViewer is an enterprise-grade React SDK that enables developers to embed secure, high-performance document viewing, annotation, form filling, and digital signing directly into applications. It provides a production-ready solution to handle complex PDF processing, offering 100% client-side security and the ability to render large, complex files seamlessly.

Summary: Many PDF processing tools claim to be “the best,” often backed by benchmark results. But these claims are highly dependent on how the test is designed. The choice of documents, evaluation metrics, and definition of accuracy can dramatically influence outcomes.

In this article, we explore why PDF benchmarking is so difficult, how results can be misleading, and how to design a more reliable framework for testing conversion accuracy.

Apryse SDK Summer 2026 release introduces AI-powered OCR, intelligent document editing, and advanced capture capabilities that help developers transform complex documents into trusted, structured data for enterprise AI.

Acquisition adds industry-leading PDF/A conversion, advanced compression, and AI-powered redaction to platform serving an enhanced global customer base

Recognition validates Apryse as a foundation of the AI document stack, helping developers turn complex documents into trusted, AI-ready data.

Law enforcement officers are guided by complex and specific local laws, regulations, and policies. But in the field, accessing and referencing this critical information is a challenge, historically relying on memory, phonebook-like manuals or calling for assistance.

Blue Voice tackles this challenge with its CJIS-compliant AI platform, providing law enforcement officers with immediate access to accurate legal, policy, and community resources, directly from the browser or smartphone.

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.

The right workplace is about more than just the role. It's about finding a team, culture, and environment where you can thrive. For Caio Nunes, Enterprise Account Manager, Apryse has been exactly that.

What does it take to thrive in a fast-growing company? For Madan Podduturi, it starts with seeing complexity not as a barrier, but as an opportunity. At Apryse, the challenge of rapid growth, evolving systems, and cross-functional collaboration is exactly what drew him in.

As a Director of Business Solutions, Madan sits between Revenue Operations, GTM, Finance, and Legal giving him a unique perspective on how the business operates and grows.

This month, we’re highlighting the people behind the processes, systems, and collaboration that help Apryse operate efficiently and scale successfully.

Revenue Operations Manager, Joe Choi’s work plays a key role in connecting teams, improving workflows, and supporting our systems.

For healthcare teams building document-centric applications, the question of HIPAA compliance often comes down to one thing: where does patient data actually go? This post lays out how Apryse WebViewer's self-hosted deployment model lets organizations keep PHI entirely within their own infrastructure, and walks through what that means for BAAs, security architecture, and the healthcare workflows like annotations, redaction, e-signatures, and more that teams need to build. If you're evaluating a PDF SDK for a HIPAA-sensitive application, this covers what actually matters beyond the feature list.

"Customizable" means different things depending on where you're starting from and for React developers choosing between react-pdf and Apryse WebViewer, that distinction shapes months of engineering time down the line. This post breaks down the real difference: react-pdf hands you a lightweight rendering foundation you build everything on top of, while WebViewer gives you a full document experience you customize instead. Including a real-world example of a team that outgrew the build-it-yourself approach, here's what to weigh before you commit.

There's no single right way to extract key-value pairs from PDFs. The real work is matching the approach to your infrastructure, budget, and engineering bandwidth. This post breaks down the three main paths; cloud AI services, open-source pipelines, and commercial SDKs, and where the tradeoffs actually bite, from who handles scanned documents out of the box to who's on the hook for maintenance. If you're deciding how to build key-value extraction into your product, this is a useful map before you pick a lane.