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 GoBD Auditor
Scanner intake with over 200 supported models and 800 images per minute, deep-learning OCR with subsequent correction, self-learning classification and field extraction, and e-invoices in XRechnung, ZUGFeRD, Factur-X and FatturaPA read as structured data and checked against the EN 16931 syntaxes — that is engineered capture, not marketing. What holds it back from the top: we found no public information on duplicate detection, and where the AI components process document content is not stated, only that an on-premises variant of classify-pro exists. 3 4 7