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
Capture is genuinely engineered: Smart Fields trained with natural-language prompts, a marketplace of per-document-type templates covering invoices, contracts and handwritten intake forms, auto-classification and auto-filing, and intake channels listed (batch scanning, bulk import, email archiving, mobile capture) with per-plan AI-unit and transcription quotas. We found no public information on a validation step with confidence scores, duplicate detection, XRechnung or ZUGFeRD read as structured data, or where the AI processing runs — that is what separates a strong capture from a complete one. 1 2 6