New Intelligent Character Recognition SDK capabilities expand how developers convert handwritten and unstructured documents into reliable, AI-ready structured data for document workflows

If you work in government, legal, healthcare, or any enterprise environment where documents move across organizational boundaries, you already know the problem. PDFs hold more than the content you see on the page. They include metadata, embedded scripts, hidden layers, form data, and markup annotations, and every one of those elements is a potential compliance risk, especially for highly regulated industries.

Jetpack Compose is rapidly gaining adoption as a modern UI toolkit for Android development, increasingly favored over traditional XML-based Views. Google now recommends Compose for new apps, and adoption continues to accelerate, with over 60% of the top 1,000 apps on Google Play using Jetpack Compose by 2025.

Summary: Learn how to build PDF annotation and document review workflows in React, React Native, Svelte, and JavaScript with Apryse WebViewer. This edition of Apryse Answers explores real-time collaboration, comments, highlights, and annotation tools while answering common developer questions and demonstrating how to create collaborative document experiences directly within your application.

Summary: Learn how to add DOCX and XLSX editing to web applications by comparing WOPI integrations, rich text editors, and Apryse Office editors. This article overviews some of the the tradeoffs in document fidelity, deployment complexity, security, and user experience, and see how Apryse enables high-fidelity Office document editing entirely in the browser.

Summary: This article introduces a new Apryse code sample that leverages LangChain and LLMs directly within WebViewer to automatically detect PII and create redaction annotations to streamline the document security workflow. By integrating AI-powered detection, users can efficiently identify sensitive data while retaining necessary human oversight for final redaction approval.

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

Apryse enabled Juume AI to accelerate CapraOne development by 18 months while delivering AI-driven, audit-ready document workflows for regulated industries

The next wave of enterprise apps won’t open documents – they'll contain them

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.

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.

We’re back with another installment of our Meet… series. This time, we’re featuring Marketing Programs Manager Maya Bauwens, who joined Apryse through our Scanbot acquisition and has embraced the open, supportive culture here.

In her role, Maya collaborates across a wide range of teams, projects, and initiatives, making every day a little different. Keep reading to learn more about her journey and experience at Apryse.

The choice between on-premise and cloud deployment is a critical architectural decision for any enterprise adopting new technology. For organizations in regulated industries like finance, healthcare, and legal, this decision moves beyond preference to become a fundamental issue of compliance, security, and data sovereignty. When implementing Intelligent Document Processing (IDP), the right deployment model is essential for protecting sensitive data and ensuring your mission-critical workflows remain compliant.

Most business information is locked away in unstructured documents like PDFs, scans, and Office files. For enterprises and software teams turning that content into usable data is a recurring challenge. The first step is often to digitize this content, but the method you choose can mean the difference between generating high-quality intelligence and creating a “garbage in, garbage out” data pipeline. This guide explains the critical leap from basic Optical Character Recognition (OCR) to full-fledged Intelligent Document Processing (IDP) and clarifies which approach is right for which use case—whether you are powering AI applications, automating back-office processes, or modernizing a document-heavy product.

Summary: The jump from digitized to AI-ready is the next great frontier of digital transformation. This guide explores why traditional OCR pipelines are failing modern AI stacks, the hidden data tax of manual post-processing, and how to build an intelligent infrastructure that turns complex documents into clean, structured JSON.