When your NMB Bank Plc 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. Sometimes a statement is not a pristine electronic file but a paper page that was scanned or photographed. The result can be slightly skewed, with faint text, background shadows, or uneven contrast. Convert·Into reads these images with OCR and extracts the transaction table just as it does from a digital file. The engine does not require a flatbed scan produced under controlled conditions; a clear phone photo works as well. Once the rows are captured, the running-balance check provides a hard verification. If a faded digit or a shadow artefact causes a misread, the totals break and the row is flagged, so no error reaches the export unchecked.
If a transaction description on your NMB Bank Plc statement is long enough to wrap across two or three lines, it still needs to land in a single row once converted. When a transaction description is long enough to wrap onto a second or third line, it often confuses a generic extraction tool into treating each wrapped line as a new row. The engine handles this correctly: it recognises multi-line descriptions as part of the same parent transaction and merges them before the table is built. What you see in the export is one clean row per transaction, with the full description restored and columns aligned.
If the running balance on your NMB Bank Plc statement does not add up row by row, that is exactly the kind of mismatch Convert·Into is built to catch rather than pass through silently. The engine does not stop at extraction. The running balance from the statement is verified line by line against the closing figure printed on the original document. If any value fails to add up, that row is flagged for review. The rest of the file is preserved intact. This means you never have to choose between trusting the output and manually rechecking a full month of transactions; the verification highlights only what needs a second look.