Intelligent Document Processing

Apryse’s Intelligent Document Processing (IDP) suite empowers you to extract meaningful data from PDFs — whether they’re scanned documents, complex reports, or semi-structured forms. Built for on-premise and server environments across Windows and Linux, the suite delivers high-accuracy outputs without compromising on performance, flexibility, or data privacy.

At the heart of Apryse's IDP offering is a powerful Data Extraction Module designed to help you automate document understanding and turn unstructured PDFs into structured, actionable data.

The IDP suite adds significant value across a range of workflows, including:

• Data mining and information extraction at scale
• Financial analysis: forecasting, modeling, quarterly reports
• Table detection and spreadsheet conversion
• Natural language processing (NLP) and intelligent content routing
• Multilingual translation with semantic layout retention
• Tagging, indexing, and content-based archiving
• Content redaction and editing
• Accessibility workflows, screen reader support, and reading order reconstruction
• Form field detection and interactive form generation
• OCR (Optical Character Recognition) for scanned documents
• Key-Value Extraction for forms, resumes, invoices, and unstructured layouts
• Semantic layout analysis for compliance or auditing

Apryse supports four primary modes of intelligent extraction:

• Tabular Data Extraction
  Identify row-column structures, analyze numeric patterns, and export structured tables to JSON or Excel formats for downstream processing.
• Document Structure Recognition
  Discover the full logical layout of a PDF — including headers, footers, paragraphs, lists, tables, images, and graphics — with visual fidelity. Ideal for screen reading, reconstruction, and archival.
• Form Field Identification
  Automatically detect fields in non-interactive PDFs using computer vision. Export as structured JSON or instantly convert into interactive form fields.
• Key-Value Extraction
  Identify key-value relationships in documents with no explicit form layout. Extract data from invoices, resumes, and informal layouts with minimal manual effort.

Note: If your goal is to convert PDFs into editable formats like Word, Excel, or PowerPoint, we recommend using Office conversion APIs

All extracted data is exported in developer-friendly JSON. Each object includes page numbers and bounding boxes, making it easy to build overlays or highlight entities directly on the original document.

This format is ideal for:

• Visualizing extracted entities
• Enabling custom annotations
• Integrating with NLP pipelines
• Powering accessibility solutions (e.g., screen readers)

The Data Extraction Module is available as an add-on for the Apryse SDK. It supports both Windows and Linux on desktop and server environments.

• Maximum of 100 pages per extraction operation
• Random watermark page insertion
• Evaluation message may appear in JSON or Excel output

Intelligent Document Processing setup
Head over to the Set Up Guide to walk through installation, configuration, and how to run your first extraction

Set Up Apryse SDK Free Trial
New to Apryse? This guide will walk you through the steps to create your license key and begin creating your application.