As AI adoption surges, structured data becomes the foundation for action.
Unstructured Data Is Everywhere—And Growing
80%
of Global Data is Unstructured
2.5
Over 2.5 Trillion PDFs in Circulation
78%
Business Adoption in AI Surged in 2024
Context Is the Key to Smarter Extraction
Extracting data from PDFs is hard.
Layouts vary, text isn’t often selectable, and tables and form fields are difficult to identify.
That’s why context-aware data extraction matters.
It uses AI to interpret elements like tables, forms, and sections based on layout, labels, and surrounding content. When data is trapped in documents like PDFs, understanding its meaning and context is essential to feeding models and automating workflows—and Apryse helps developers do exactly that.
Before the insights. Before the agents. There’s intelligent pre-processing.
Because AI is only as good as the data it starts with
When industry analysts and investors talk about AI, they usually highlight the most exciting aspects—insightful analysis, innovative applications, automated agents that act on your behalf, and the instant dissemination of knowledge. Yet, before any of that magic can occur, there's a crucial, often overlooked step: preparing the data itself.
Apryse Empowers Developers to Turn PDFs to AI-Ready Data
Built for Developers
Build in your preferred language and framework. We support them all.
PDF Expertise
Unlike OCR-only or API-restricted services, Apryse provides pixel-perfect accuracy for born-digital and scanned documents
Total control
Control costs and security of your data with a deployable toolkit that runs on-prem, in private cloud, or in hybrid environments.
