When your N26 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. Statements do not always arrive as clean downloads. When a client forwards a photograph of a printed page or a scan of a folded sheet, shadows, skew and low resolution all work against clean extraction. Convert·Into applies OCR that is purpose-built for bank layouts, not for general documents. It reads the transaction table line by line, then runs the numbers through the same running-balance verification it applies to every statement. If a 7 was misread as a 1 and the tally no longer matches the statement's own printed closing figure, that row is flagged before the data ever reaches the export. The rest of the file stays intact; there is no need to re-upload or start over.
Whichever order your N26 statement prints its columns in, each one still has to land in the right place once it reaches a spreadsheet. The export stage maps each extracted column to its destination field so that the output fits your workflow without manual rearrangement. Convert·Into identifies which column holds the date, which holds the description, and which holds the amount, and routes each one into the matching slot in Excel, CSV or QBO. If the statement includes a running balance or a transaction type that your ledger does not need, you can drop that column before the file leaves the tool. The same mapping logic applies whether the source was a scanned image or a direct download: you get a consistent structure every time, ready for import.