OCR vs untxt. document intake: what is the difference?
OCR reads text from documents. untxt. uses context to turn messy bookkeeping documents into classified, extracted, reviewable accounting data.
What it means
Traditional OCR is useful for text extraction, but it does not understand bookkeeping context on its own. untxt. adds the layer that grasps document type, page grouping, field meaning, line items, account mapping, duplicate risk, confidence, and review state.
02 · Example
OCR can read words from a supplier invoice. untxt. identifies it as an invoice, extracts the accounting fields, proposes the account mapping, and flags uncertain values.
Where review matters
A basic OCR tool may be enough for clean searchable PDFs. Messy client intake needs a workflow built around accounting context and review.
Who this helps
This helps buyers comparing generic OCR tools with client document intake. If the problem is only reading text from clean PDFs, OCR may be enough. If the problem is messy client intake, document context matters.
What untxt. does
untxt. grasps bookkeeping context: document type, mixed-PDF boundaries, field meaning, line items, account mapping signals, duplicate risk, confidence, and review state.
What it does not pretend
It does not frame itself as a magic OCR wrapper. The point is the accounting workflow around the text: what the document is, what fields matter, what is uncertain, and what should be reviewed.