How Table Extraction Works
PDFs store content as positioned text — not tables. Extraction requires reverse-engineering: detecting boundaries, grouping cells, preserving data types.
- Text-based (native PDFs): Analyzes coordinates. Fast and accurate.
- OCR-based (scanned PDFs): Image to text first, then layout analysis.
Native vs Scanned: Accuracy
| 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
- 300 DPI minimum for scans
- Straighten skewed scans
- Simple layouts work best
- Always verify numerical data
Time Comparison: 50-row table: 15-20 min manual vs 2-5 sec automated with 95%+ accuracy.
How to Convert
- Open the PDF to Excel tool
- Upload PDF
- Select table regions (auto-detected)
- Choose XLSX or CSV
- Download and verify
FAQ
Password-protected PDFs?
Yes, enter password when prompted.
Merged cells?
Simple merges handled well. Complex may need manual cleanup.
Financial reports?
Native PDFs: 98%+ accuracy. Always verify totals for compliance.