What is intelligent document processing?
Intelligent document processing combines text recognition, document classification and the extraction of specific information. For example, it can distinguish invoices from delivery notes and provide relevant data in a structured format. Business rules and human reviews complement the recognition process.
AN EXAMPLE IN PRACTICE
Where you might encounter it
An inbox receives orders in various layouts. The application identifies the document type and suggests the customer number, item and quantity. Missing information is added to a review list; confirmed values are passed to the relevant system.
Why does this matter for your business?
Different document formats can be brought into a shared workflow. Your team focuses primarily on cases where information is missing or inconsistent.
What components are involved?
Scans are often processed using OCR. Data is transferred via an interface. Human approval may be needed before important information is booked or passed on.
Frequently asked questions
Does it work with changing layouts?
This is one possible use case, but it needs to be tested with your documents. Poor-quality scans, new document types and missing information may require additional rules or checks.
Are documents automatically checked for legal compliance?
No. Extracting information and classifying documents is not a legal review. The relevant business workflow determines which professional checks are required.
What to keep in mind
- Collect representative documents for testing.
- Define required fields and plausibility rules.
- Pass unclear results to people for review.
Further sources
From NetzTurm Decode. Clear explanations for your business.