Extract Tables from Scanned PDFs
Scanned PDF table OCR: turn image-based statements and scans into Excel or CSV. Free online — best with 300 DPI+ scans.
Drop your PDF here, or browse
Maximum file size: 20MB
How It Works
1. Upload your scanned PDF
Upload a scanned document or image-based PDF. Our OCR handles even low-resolution scans.
2. OCR processes the document
Optical Character Recognition (OCR) reads text from the scanned images and identifies table structures.
3. Review OCR results
Check the extracted tables for accuracy. OCR results depend on scan quality — clearer scans give better results.
4. Download your tables
Export the extracted tables as Excel or CSV files, ready for editing and analysis.
Step-by-Step Guide
Upload your scanned PDF
Upload a scanned document or image-based PDF. Our OCR handles even low-resolution scans.
OCR processes the document
Optical Character Recognition (OCR) reads text from the scanned images and identifies table structures.
Review OCR results
Check the extracted tables for accuracy. OCR results depend on scan quality — clearer scans give better results.
Download your tables
Export the extracted tables as Excel or CSV files, ready for editing and analysis.
This page is for image-based PDFs where text is not selectable, such as old bank statements, photocopied utility bills, or printed invoices. The pipeline applies OCR first, then reconstructs rows and columns.
Why This Scenario Needs Its Own Page
- - Built for non-digital PDFs where regular text extraction fails.
- - Separates OCR recognition and table reconstruction to improve recovery from noisy scans.
- - Includes quality expectations so users know when rescanning improves output.
Best Fit
- - Scanned bank statements, utility bills, and invoices
- - Photos converted to PDF with visible table lines
- - Legacy archives where original digital PDFs are unavailable
May Need Another Workflow
- - Extremely blurred or skewed scans with unreadable characters
- - Low-contrast camera photos with heavy shadows
Typical Columns We Extract
Pre-Export Quality Checklist
- - Ensure scan resolution is around 300 DPI when possible
- - Crop black borders and rotate tilted pages before upload
- - Validate ambiguous characters like O/0 and I/1
Frequently Asked Questions
Real Input Example
Scanned utility bill PDF (300 DPI) with usage and charge tables.
Expected OCR Table Output
| Billing Date | Usage (kWh) | Rate | Charge |
|---|---|---|---|
| 2026-02-01 | 412 | 0.132 | 54.38 |
| 2026-03-01 | 398 | 0.128 | 50.94 |
| 2026-04-01 | 421 | 0.129 | 54.31 |
When to pick another page
If your PDF text is selectable (not scanned images), use Extract Table from PDF for cleaner results.
Extract Table from PDFCommon Failure Fixes
OCR misreads O/0 and I/1
Use higher contrast scans and verify ambiguous cells manually.
Rows split incorrectly
Crop dark borders and fix page skew before upload.
Missing rightmost columns
Ensure the full table is visible in the scan area.