Introducing Document Classification in Smart Data Extraction

Know every document at a glance. Route it. Process it. Done.

When you are processing thousands of documents every day, one of the first questions is simple: what type of document am I looking at? An invoice, a receipt, an ID, or a contract all need to be routed to the right workflow before any meaningful extraction can happen. Until now, that step often relied on manual tagging or brittle rule-based systems.

Today, we’re changing that. With the launch of Document Classification, Apryse customers can automatically identify document types across 19 categories, assign confidence scores, and streamline workflows from the very first step.

Check out the full details of the Fall 2025 Release.

Getting document type wrong costs time and money. Manual routing leads to bottlenecks, while rule-based systems break down when new formats appear or packets contain mixed document types.

Document Classification solves this by:

Document Classification uses AI-powered models trained on diverse document layouts and content to spot structural and textual patterns. Each page is analyzed and assigned one of 19 baseline categories (including invoices, receipts, IDs, memos, budgets, and contracts), along with a confidence score.

Developers can set thresholds to decide whether a document is routed automatically or flagged for manual review. Results are returned in simple JSON, making it easy to integrate classification into existing workflows.

And unlike many alternatives, there’s no training required. It works out of the box.

Apryse is different:

Document Classification is now available, as part of the Smart Data Extraction suite. You can access it by updating your SDK and SDE module.

If you are an existing Apryse customer, contact your account team to learn how to add Document Classification to your workflows. New to Apryse? Get in touch to see how Document Classification and Smart Data Extraction can streamline your document processing.