Context-Aware Output, Built on Document Logic
Power downstream workflows with context-aware output. By recognizing the underlying logic of complex PDF documents, Smart Data Extraction automatically maps key-value pairs and nested tables into reliable, structured formats. It serves as the industrial-strength foundation for analytics and AI initiatives, backed by consistent model training and enhanced extraction logic to ensure your pipeline stays ahead as document standards evolve.
AI at Apryse
Extraction to Action: The Full AI Workflow
Smart Data Extraction, a capability of the Apryse Server SDK, turns unstructured content into automation-ready data. It's one stage of a larger pipeline, including human-in-the-loop review and validation, that you can build across the Apryse platform.

How it Works: Purpose-Built Models for Document Logic
Extracting structure from PDFs is difficult. Text is often unselectable, and tables lack underlying tags. Apryse solves this by applying advanced computer vision to understand layout and semantics. We utilize real-time object detection (YOLO) to identify tables and sections, paired with BERT-based models to resolve text meaning. These aren't general-purpose models; they are purpose-built and trained on high-stakes documents like contracts and forms. Most importantly, your privacy is baked in. Our models are trained exclusively on public and synthetic data, ensuring your documents are never part of a training set.
Extraction FAQ
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Innovative Technology. Proven Results

Smart Data Extraction Guide

Smarter Workflows with Apryse Server: Introducing CAD Title Block Extraction

Smart Data Extraction Webinar

What’s New in Apryse 10.7?
2024-02-28

Automate Accurate Data Extraction from PDF | Apryse Smart Data Extraction








