When your Bangkok Bank 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 that was scanned from paper or photographed on a phone arrives as a flat image, not as a table of numbers. Convert·Into reads that image with OCR, identifies the transaction rows and column positions, and builds a structured table from them. Every line is then verified against the statement’s own printed closing balance: when a smudge, crease or shadow makes a digit ambiguous, the arithmetic no longer ties out and the row is flagged. You get clean data plus a clear signal about which line needs a human glance, without the whole file being rejected.
When a Bangkok Bank 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. For multi-page statements the engine stitches the pages together into a single transaction list automatically. The running balance is checked across page breaks, so a figure that was cut off or carried forward incorrectly is caught before it reaches your ledger. You work with one continuous table, not a set of disconnected page fragments that you have to line up by hand.
Once your Bangkok Bank statement is uploaded, what you get back depends on which export format you actually need next. Once the transactions are extracted, you choose the export format that fits your workflow. The engine maps the detected columns into Excel, CSV or QBO and writes the file for you. There is no template to build and no field mapping to configure before you start; the structure is inferred from the document itself and exported ready for import.