Automatic Document Classification
Documents often arrive at an organization without clear divisions or categories, such as in multi-page PDF files – using ElectroNeek’s Intelligent Document Processing, these can be split and classified for later processing in specific models.
Finance, Human Resources, Operations
Intelligent Document Processing
Any system
Case Description
Organizations can face significant challenges handling large volumes of unstructured documents. Multi-page PDFs, scanned documents, or forms without clear classifications create bottlenecks in document-heavy workflows. With ElectroNeek’s Intelligent Document Processing capabilities, documents can be automatically split, categorized, and routed to the appropriate workflows based on their content.
Enable companies to organize and manage documents efficiently, ensuring the correct teams or systems process them. Automating this classification task reduces errors, improves processing speed, and allows more structured document workflows.
Use Case Highlights
Incoming documents, whether as multi-page PDFs or scanned files, are automatically obtained from any source (such as email or shared drives) and uploaded for processing.
ElectroNeek’s Intelligent Document Processing (IDP) analyzes the content of each document using a combination of OCR and AI-based technologies to identify key elements, such as headers, footers, and unique data points.
Based on these elements, the system determines the type and category of each document (e.g., invoices, contracts, reports) and splits multi-page files as needed.
Once classified, the documents are assigned to the appropriate workflows or business processes for further handling (e.g., an invoice is routed to accounting, and a contract is sent to legal).
Each of these workflows will have its own IDP model, specifically trained the extract the required data from each document.
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