OCR Bank Statement Converter
Not every statement arrives as a tidy digital PDF. Clients hand over paper, older records live in filing cabinets, and “the statement” is sometimes a phone photo taken at a kitchen table. SheetMyBank reads those too: scanned PDFs, PNGs, and JPEGs go through OCR right in your browser, then through the same transaction parsing and balance verification as a native PDF — because OCR without verification is just guessing with confidence.
Nothing is uploaded. The OCR engine runs on your device, which is exactly where a client’s paper records should stay.
Drop your bank statements here (PDF or photo)
One file or many — processed entirely on this device, nothing is uploaded. Scans and photos are read with on-device OCR (beta).
Scanned PDFs, PNG & JPEG photos · OCR runs on your device · Every OCR row balance-checked
Why OCR needs a safety net
OCR turns pixels into text by recognition, not by reading — and recognition makes mistakes precisely where they hurt: 3 vs 8, 5 vs 6, 1 vs 7, a decimal point lost in scanner noise.
The problem with raw OCR
A misread digit produces a number that is perfectly plausible — $1,839.20 instead of $1,339.20 — and visually checking hundreds of rows against a scan is the same manual work OCR was supposed to eliminate.
The balance chain
Statements carry a running balance, and arithmetic doesn’t lie: every row’s balance must equal the previous balance plus the amount. SheetMyBank recomputes the chain, so a single misread digit breaks it at that exact row.
Review by exception
Flagged rows are highlighted in the preview and listed on a Warnings sheet in the Excel file with the raw recognized text. You correct the handful of rows OCR got wrong — the rest are proven consistent.
Getting the best scan results
- Scan at 300 dpi if you control the scanner — it’s the sweet spot for statement typography. Higher helps little; 150 dpi and below costs real accuracy.
- Shoot photos straight-on, filling the frame with the page in even light. Skew and perspective distortion are harder on OCR than low light.
- One statement page per image. Multi-page scanned PDFs are fine — each page is rasterized and recognized in sequence.
- Prefer the digital PDF when it exists. If the client can still download the e-statement, that converts without OCR at all — see PDF bank statement to Excel.
First conversion on a device downloads the OCR engine (~15 MB, then cached), so the first scanned page takes longer than the rest. For the full workflow from download to spreadsheet, see how to convert a bank statement to Excel, or find your bank’s guide.
Frequently asked questions
How accurate is OCR on bank statements?
On a clean 300-dpi scan of a typed statement, character accuracy is high — but "high" still means a misread digit every few hundred characters, and on a statement every digit is money. That is why verification matters more than raw accuracy: SheetMyBank reconciles each OCR-read row against the running balance, so a 3 read as an 8 breaks the arithmetic chain and gets flagged for review instead of landing in your books.
Can I convert a photo of a paper statement taken with my phone?
Yes — drop in a PNG or JPEG, or use the camera button on mobile to photograph the statement directly. For best results, shoot straight-on in even light with the full width of the transaction table in frame. iPhone HEIC photos need converting to JPEG first (or use the in-page camera, which is handled automatically).
Is my scanned statement uploaded to a server for OCR?
No. The OCR engine (Tesseract, compiled to WebAssembly) downloads into your browser once — about 15 MB, cached afterwards — and then recognition runs entirely on your device. Cloud OCR services process your document on their machines; here the image never leaves yours.
How do I know if my PDF needs OCR at all?
Try selecting text in the PDF: if you can highlight words, it has a text layer and converts directly with no OCR step. If you can only drag a selection box over the image, it is a scan. You do not need to decide — the converter detects a missing text layer per page and switches to OCR automatically.
What kinds of scanned statements work best?
Bank-generated statements that were printed and then scanned or photographed — the typography is consistent and OCR handles it well. Low resolution (under ~150 dpi), skewed pages, handwriting over the numbers, and heavy highlighter marks reduce accuracy; the balance check will flag affected rows so you can correct just those.