Invoice recognition (OCR)
With scan and recognize software, information on PDF invoices is converted to XML data files.

Scan & Recognize
With ICreative's so-called IRS recognition report, recognition problems can be quickly identified. It provides guidance on which areas in the process there is room for improvement and also immediately provides a possible solution direction.
Invoices are one of the most difficult types of documents to recognize properly, as there is a lot of information on a relatively small area. The knowledge and expertise ICreative has gained with this over the past twenty years is bundled in the ICreative Invoice Pro Package.
- Predefined invoice recognition project at both header and line level
- Predefined business rules, such as duplicate invoice check and validation on amounts (e.g. net amount + VAT amount = total amount)
- Supplier recognition based on (IBAN) bank account, VAT and Chamber of Commerce numbers
- Automatic conversion of date and amount format (i.e. American to European)
- Various export options to different backend systems (Basware, ERP, financial systems)
Functionality
- Automatic reading of specific email box(es) for invoices
- Scanning of paper invoices via multifunction or desktop scanner
- Assignment of correct entity/administration
- Determine correct creditor based on IBAN and/or VAT number
- Reading header data (e.g. invoice number, invoice date, net and gross VAT amount)
- Read line level data (e.g. quantity, unit price, line total, description)
- Data recognition in almost all languages
- Intuitive (web-based) user interface for validation of recognized values
- Managed online learning for improved recognition results
- Return of invoices that do not meet your requirements
- Interface with ERP and/or invoice processing system
- Export of xml and pdf in any format via any distribution channel
Convert PDF invoices to XML invoices
How well invoices are recognized by your OCR solution is not visible to the naked eye, and you don't notice much of an effect at first. What makes it extra difficult is that the data for measuring the degree of recognition does not come directly from the system itself. For that, relevant data about the process must be collected and combined, and that's not all.
Once you have determined from the data which supplier(s) are causing the under-recognition rate, you need to find out what is causing it in order to take appropriate action. So human interpretation is needed to figure out exactly what is causing it.