Complete guide to extracting transaction data from scanned, photographed, and non-searchable ING statements. Works with image-based PDFs, smartphone photos, and paper statement scans.
🏦 European Bank • Netherlands • OCR Processing
96%+ accuracy on ING statement OCR
10-15 seconds per page
4 pages
25 minutes vs manual typing
Not all ING statements come as clean, searchable PDFs. Many professionals receive scanned or photographed statements — especially when dealing with:
Standard PDF converters completely fail on these types of files because there's no embedded text to extract. They require OCR (Optical Character Recognition) — technology that "reads" the image and converts it to machine-readable text.
EUR currency, iDEAL payment references, NL IBAN formatting, DD-MM-YYYY dates
Make sure your scan or photo is as clear as possible. Lay the statement flat, ensure good lighting, and capture all four corners. PDF format works best. Avoid shadows, blur, or extreme angles. If you have a multi-page statement, combine all pages into a single PDF.
Go to the LedgPDF converter and upload your scanned ING PDF. Our system automatically detects that it's an image-based (non-searchable) document and prepares the OCR engine.
Click "Convert to Excel & CSV". LedgPDF sends your document through our OCR engine. This takes 10-15 seconds per page because we're literally reading the image pixel by pixel. You'll see a progress indicator during processing.
After OCR extracts the raw text, our AI analyzes the structure. It identifies ING's transaction table, recognizes date patterns (MM/DD/YYYY), and maps columns to their correct fields. Account summary sections are separated from transaction data.
Once processing is complete, download your formatted Excel file. All transactions are properly aligned with correct dates, descriptions, and amounts. The file is ready for immediate import into Microsoft Excel.
Loan applicants often submit smartphone photos of their ING statements. Underwriters need to quickly extract transaction data for income verification and fraud detection. OCR makes this instant instead of manual.
When investigating financial records, you receive statements in all formats — including paper scans from storage boxes. OCR lets you digitize and analyze years of ING statements in hours instead of weeks.
Clients bring shoeboxes of old ING statements during tax season. Converting scanned statements to Excel allows you to quickly reconcile income, expenses, and deductions without typing each transaction manually.
When taking on a new client with historical paper records, you need to digitize everything for cloud accounting. OCR accelerates the onboarding process from days to minutes per statement.
Upload your image-based PDF, photo, or paper scan. Get clean Excel data in minutes.
Try LedgPDF OCR Free →20 free credits • 2 credits per scanned page • No credit card
Because OCR processing requires significantly more computing resources than text extraction, scanned PDFs cost 2 credits per page instead of 1. Here's what you can expect for a 4 pages ING statement:
📄 Text PDF (searchable): 1 credit/page = 4 credits total
🔍 Scanned PDF (image-based): 2 credits/page = 8 credits total
🎁 New users: 20 free credits — enough to convert several statements for free
Not sure if your ING PDF is text-based or scanned? Use our free Check File tool to analyze your PDF before converting. It shows you the exact page count, type, and credit cost — with no credits deducted.
96%+ accuracy on ING statement OCR. The actual accuracy depends on the quality of your scan. Clear, flat scans with good lighting produce the best results. Blurry photos or heavily skewed images may have lower accuracy.
Yes! Our OCR engine works with smartphone photos saved as PDF or image files. For best results, place the statement on a flat surface, use good lighting, and capture the entire page without shadows or glare.
Approximately 10-15 seconds per page. A 4 pages statement takes about 48-60 seconds total. Larger statements are processed in the background with status updates.
While our OCR accuracy is high, no OCR is 100% perfect. We recommend spot-checking the output, especially for very old or damaged statements. The Excel output includes all raw data so you can easily verify key transactions.
You can combine multiple scanned statements into a single PDF and upload it. Each page is processed individually. For large batches, consider using our API for programmatic processing.