Capture, OCR & indexing
How this is scored
How documents get in and become findable: scanning and email intake, OCR, classification and metadata extraction, and whether incoming e-invoices (XRechnung, ZUGFeRD) are read as structured data rather than as pictures.
0 — Manual upload only; no OCR, no metadata beyond file name and folder.
3 — Upload, drag-and-drop and scan import with OCR mentioned, but indexing is manual and no word on email intake or e-invoice formats.
5 — Scanner, email and folder intake, full-text OCR, document types with metadata fields, and automatic extraction of common fields (date, sender, amount) documented.
8 — AI- or rule-based classification and field extraction with confidence and a validation step, XRechnung and ZUGFeRD read as structured data, mailbox and Microsoft 365 intake, and duplicate detection documented.
10 — Capture is engineered and shown: classification and extraction trainable per document type, validation queues, e-invoice validation against the standard, intake channels listed with their limits, and where AI processing runs (location, model provider) stated.
The IT Integrator
The invoice product captures and classifies accounting documents via intelligent OCR, extracting vendor, date, amount and purchase-order reference, and reads XRechnung and ZUGFeRD as structured data validated against mandatory fields, tax logic, duplicates and tolerances, with exceptions landing in a Fiori invoice cockpit; intake channels (paper, email PDF, e-invoice) are listed outright. What keeps it off the top: I found no public information on where the AI extraction runs, on trainable classification per document type, or on confidence values behind the advertised accuracy. 4 5 8