When your Denizbank statement arrives as a scan or a photo of the page rather than a clean export, the numbers on it are just pixels until they are extracted. A statement document that began as paper and was later scanned or photographed introduces a layer of visual noise that fresh digital files do not carry: skewed text, shadowed edges, speckled backgrounds, or characters that blur together. The extraction engine reads these with optical character recognition tuned for the density and typeface of financial tables, not for general documents. It maps each row to a single transaction and assigns columns by content rather than by position, so a slight rotation or a margin artifact does not push the data into the wrong field. Where a character is genuinely ambiguous, the running-balance check catches it: every row's balance is recalculated from the prior row, and any line that drifts from the statement's own printed arithmetic is flagged for review rather than silently accepted. You can still download the full file; the flag simply marks the one row that needs a human look before it enters the books.
When a Denizbank statement you need to convert spans more than one page, Convert·Into merges every page into a single transaction table rather than treating each page as its own file. Statements that span several pages are treated as one continuous record, not as a set of isolated images. The engine stitches the pages end to end, maps the column headers once, and continues the transaction table across page breaks without resetting the running balance or duplicating the header row. If a table splits mid-row at the foot of a page, the partial row is merged with its continuation on the next page so that a single transaction does not fracture into two entries. The stitched feed is then verified as a whole against the statement's own closing figure, and the final export, whether to Excel, CSV or QBO, presents every transaction in sequence with the columns mapped into the target format's native structure.