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
Scanner integration is properly worked out — TWAIN/WIA/SANE and Scan-to-Folder with background batch import, separator sheets that split paper stacks automatically, and OCR that full-text indexes every document. Recognition by layout or keyword plus OCR extraction of invoice data, classified manually or via templates, edges toward rule-based capture, but we found no public information on a validation step with confidence values, duplicate detection, reading XRechnung and ZUGFeRD as structured data, or where the ScanApp's cropping AI runs. 1 7 8 14