How PDF Table Extraction Works
PDF files store content as positioned text objects — not structured tables. Extracting requires reverse-engineering the layout: detecting boundaries, grouping text into cells, preserving data types.
- Text-based extraction (native PDFs): Analyzes position coordinates. Fast and accurate.
- OCR-based extraction (scanned PDFs): Converts image to text first, then analyzes layout.
Accuracy Comparison
| Factor | Native PDF | Scanned PDF |
|---|---|---|
| Text Recognition | 99.9% | 85-98% |
| Table Structure | 95-99% | 80-92% |
| Number Accuracy | 99%+ | 90-96% |
| Speed | 1-2 sec/page | 5-15 sec/page |
Tips for Best Results
- Check if PDF is native or scanned
- Use 300 DPI minimum for scans
- Straighten skewed scans
- Simple layouts extract better
- Always verify numerical data
How to Convert PDF to Excel
- Open the PDF to Excel tool
- Upload your PDF
- Select table regions (auto-detected)
- Choose XLSX or CSV output
- Download and verify accuracy
FAQ
Password-protected PDFs?
Yes, enter the password when prompted.
Merged cells?
Simple merged cells handled well. Complex nested tables may need manual cleanup.
Good enough for financial reports?
Native PDFs: 98%+ accuracy. Always verify totals for compliance.