What is Intelligent Document Processing?
Turkish: Akıllı Belge İşleme (IDP)
Intelligent document processing uses OCR and AI to extract, classify, and validate data from invoices, forms, and contracts.
What is Intelligent Document Processing?
Intelligent document processing (IDP) uses OCR, machine learning, and business rules to extract useful data from unstructured or semi-structured documents. It does more than read text; it evaluates document type, fields, confidence scores, and validation needs.
A typical flow receives the document, improves image quality, extracts text with OCR, classifies the document, captures fields, and validates them against business rules. Low-confidence or inconsistent records go to human review. Approved data is then sent to an ERP, accounting system, CRM, or archive.
Use Cases
Invoices, delivery notes, bank receipts, insurance forms, identity documents, contracts, and application files are common IDP examples. In an invoice automation scenario, supplier name, tax number, date, total, and line items can be extracted and matched against purchase order or delivery data.
IDP is often paired with RPA. The bot moves data between systems, while IDP understands the document. Successful projects design not only extraction accuracy, but also exception handling, data security, model monitoring, and feedback loops for user corrections.
Related Terms
Invoice automation connects sales, approval, e-Fatura/e-Arşiv, and accounting records through rule-based workflows with fewer manual errors.
OCR (Optical Character Recognition)OCR (Optical Character Recognition) converts printed or handwritten text in images or PDFs into machine-readable digital text.
RPA (Robotic Process Automation)RPA uses software bots to perform repetitive, rule-based office tasks through screens, forms, and existing business applications.