Reference
Document extraction glossary
Plain-language definitions of the terms behind verifiable document extraction. Each entry answers the question first, then explains it.
Definitions
- Verifiable document extraction
- Document extraction in which every returned value can be traced back to its origin. For scans and photos, a field carries the text it was read from and, when OCR located it, the page and position; for structured e-invoices, the value is parsed from the source file. The point is that a reviewer or a downstream system can check a value instead of trusting it blind.
- Source evidence
- The proof attached to a field extracted from a scanned or photographed document: the matched text and, when OCR could locate the value, the page and bounding box. It lets someone confirm where a number came from without re-reading the whole page. Structured e-invoices are parsed from their data and carry no bounding box.
- Match status
- A per-field flag that says how a value was anchored to the source. The values are exact, fuzzy, llm_located, not_found, not_applicable, and user_entered. A value that OCR cannot anchor is returned as not_found rather than silently accepted.
- Bounding box
- The rectangle on the page image where OCR located a value. DocSolved draws it on the annotated PDF, colour-coded by the confidence scale. A box exists only when OCR evidence located the value; e-invoice fields have none by design.
- Structured e-invoice
- An invoice delivered as machine-readable data rather than a scan: Factur-X, ZUGFeRD and XRechnung (CII), UBL 2.1, and KSeF FA(3). DocSolved parses the values directly from the file, with no OCR and no AI guessing, so there is nothing to misread.
- KSeF FA(3)
- The XML e-invoice format of Poland's National e-Invoice System (KSeF). DocSolved reads the FA(3) file itself and validates it deterministically; there is no KSeF API connection or credentials involved.
- OCR (optical character recognition)
- Turning an image of text (a scan or photo) into machine-readable characters and their positions on the page. In DocSolved, OCR produces the tokens and boxes that later anchor each extracted field to its source.
- Confidence score
- A per-field score for values that AI extracted from a scan or photo; low-confidence values are highlighted for review. Structured e-invoice fields carry a dedicated trust status instead, because nothing about them was guessed.
- Document type detection
- Automatic identification of what a document is β invoice, receipt, purchase order, delivery note, CV, and more β with a confidence score. The detected type selects which fields DocSolved extracts.
- Annotated PDF
- A downloadable copy of the document with each extracted value boxed on the page and colour-coded by confidence, so the whole extraction can be checked at a glance.
See these ideas in action on a real document β no account needed.