Extract transactions from scanned bank statement PDFs, image-based PDFs, and photographed statements using our 4-tier OCR engine. 100% free, no signup, no page limits.
OCR stands for Optical Character Recognition — technology that reads text from images. A standard bank statement PDF downloaded from your online banking portal contains selectable digital text that can be extracted directly. But some PDFs embed the statement as an image rather than as text. This happens with:
When you try to copy text from these PDFs, nothing comes out — or you get garbled characters. That is when OCR is needed. Our converter detects whether your PDF is digital or image-based and automatically applies the right extraction method.
Upload any PDF — digital or scanned — or a photo of your statement
We detect whether OCR is needed and apply the right extraction tier automatically
Download Excel, CSV, or JSON with all transactions cleanly extracted
Not all bank statement PDFs are the same. Some are well-structured digital files; others are poorly scanned images. We use a 4-tier engine that applies the fastest and most accurate method for each file, automatically:
For well-structured digital PDFs with embedded tables. Extracts data directly from PDF table structures without any image processing. Achieves 99%+ accuracy on clean digital bank statements from most major banks.
For digital PDFs that have text but no formal table structure. Reads the PDF word-by-word and uses layout analysis to reconstruct the transaction table. Works well with PDFs that use custom fonts or non-standard layouts.
For scanned PDFs and image PDFs. Runs OCR entirely on our servers — no data leaves to third parties. Handles standard scan quality well and achieves 95–98% accuracy on clean scans from most bank printers.
For poor quality scans, faded prints, skewed images, or very complex statement layouts. Uses advanced image preprocessing and AI-assisted character recognition to maximise accuracy even on difficult inputs.
The system automatically selects the appropriate tier for your file. You do not need to know which tier your statement needs — just upload and let the engine decide.
Many people have years of paper bank statements that were scanned for archival purposes. These scanned PDF files cannot be searched or processed by standard tools. Our OCR converter reads every transaction from these files and produces a clean, usable spreadsheet — even for statements from 10 or 20 years ago.
Some banks and smaller financial institutions email statements as JPEG or TIFF image attachments rather than proper PDFs. These files are impossible to process without OCR. Upload the image file directly to our tool and we will extract all transaction data automatically.
Many regional banks, cooperative banks, and credit unions generate statement PDFs where the content is rendered as an embedded image. While major banks like Chase, HDFC, and Barclays typically produce digital PDFs, smaller institutions often do not. Our Tier 3 and Tier 4 OCR handles these cases reliably.
If you need to convert a paper statement but do not have access to a scanner, a clear photograph taken with a smartphone works well. Ensure good lighting, hold the phone steady, and try to keep the page flat. Our advanced OCR tier handles perspective correction and shadow removal automatically.
| Input Type | Typical Accuracy | Processing Time | Tier Used |
|---|---|---|---|
| Digital PDF (major bank) | 99%+ | <5 seconds | Tier 1–2 |
| Clean scanned PDF (300 DPI+) | 97–99% | 15–30 seconds | Tier 3 |
| Standard scan (150–300 DPI) | 92–97% | 20–40 seconds | Tier 3–4 |
| Low quality scan (<150 DPI) | 85–92% | 30–60 seconds | Tier 4 |
| Clear smartphone photo | 90–96% | 30–60 seconds | Tier 4 |
| Poor quality photo (blurry, skewed) | 70–85% | 30–60 seconds | Tier 4 |
For critical documents, we recommend always reviewing the output and using the balance column to verify that the extracted totals match your original statement.