The term "OCR document recognition" refers to the software-based capture, recognition, and processing of information from scanned or digital business documents. Using OCR technology (Optical Character Recognition), text is extracted from documents such as invoices, receipts, delivery notes, purchase orders, statements, or credit notes and converted into structured data. The objective is to reduce manual data entry, accelerate business processes, and improve data quality in downstream systems such as ERP, accounting, document management, or enterprise content management systems.
Text Recognition: Extracting printed or digitally generated text from scanned documents, PDF files, or image files.
Document Classification: Automatically identifying document types such as invoice, receipt, delivery note, purchase order, credit note, or statement.
Data Extraction: Capturing relevant information such as document number, date, supplier, customer number, amounts, taxes, payment terms, or bank details.
Line Item Recognition: Extracting individual document line items such as item numbers, quantities, unit prices, discounts, and totals.
Validation and Plausibility Checks: Checking recognized data for completeness, mathematical accuracy, and consistency with master data.
Master Data Matching: Comparing extracted information with existing supplier, customer, product, contract, or accounting data.
Learning-Based Recognition: Improving recognition quality through corrections, templates, rules, or AI-based learning methods.
Workflow Integration: Transferring recognized documents into approval, review, exception handling, or posting processes.
Export to Business Systems: Sending structured data to ERP, accounting, document management, ECM, archive, or procurement systems.
Archiving and Traceability: Storing original documents together with recognized data, audit trails, validation results, and processing history.
An accounting department automatically reads incoming invoices and transfers the extracted data to the financial accounting system.
A retail company digitizes supplier documents and matches them with purchase orders and goods receipts.
A field service team captures receipts via a mobile app, which are then automatically recognized and assigned to expense reports.
A company uses OCR document recognition to extract invoice numbers, amounts, tax information, and payment details from PDF invoices.
A document management system identifies different document types and routes them automatically to the responsible departments.