Document classification
with AI
Automatically identify document types and prepare incoming documents in a structured way for further processing.
Document classification as a key factor
Companies receive a wide variety of documents every day. Invoices, delivery notes, purchase orders, or transport documents often arrive bundled via email, as combined PDFs or within mixed inboxes.
Before these documents can be processed further, it must first be clear what type of document they are. In many organizations, this classification is done manually. This ties up resources, is prone to errors, and makes end-to-end automation more difficult.
Document classification creates a solid foundation: Only when documents are clearly identified and assigned can subsequent processing steps be carried out reliably.
Document classification is the prerequisite for any further automation.
What is document classification?
Document classification refers to the automatic identification and assignment of document types.
This involves analyzing what type of document is present, for example, an invoice, delivery note, or purchase order. This classification is necessary to route documents into the correct process and processing logic.
In contrast to simple rule-based approaches, modern classification also considers:
- different layouts and formats
- varying content depending on supplier or document type
- mixed document inputs and combined files
The goal is a reliable and reproducible classification of documents, regardless of format or source.
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Hosting in secure cloud infrastructures with data centers located in the EU, supported by defined operational, security, and access concepts.
EU AI-Act-ready
Development and operation of our AI systems align with EU AI Act requirements. Transparency, documentation, and control mechanisms are structurally embedded Transparency, documentation and control mechanisms are systemically embedded.
How does document classification work with bluDELTA?
bluDELTA performs the classification of incoming documents as the first step in processing.
The solution analyzes incoming files, identifies the document type, and automatically separates related content. Mixed document inputs or combined PDFs are also processed in a structured way.
The processing follows a clear logic:
- identification of the document type
- separation of mixed documents
- assignment to the correct process context
This transforms an unstructured document intake into a structured foundation for further processing.
Position within the overall process
Document classification is the first step in document processing.
Within bluDELTA, this step is handled by the Class & Split module. It ensures that incoming documents are structured so that subsequent processing steps can build on this foundation:
- Class & Split: Identify and structure documents
- Extract: Retrieve information from documents
- Mapping: Assign and validate data
Without reliable classification, these steps cannot be executed in a stable way.
