How to Extract PDF Tables to Excel with Docling TableFormer
Say goodbye to merged columns, broken rows, and hours of manual transcription. Learn how IBM's TableFormer deep learning model extracts clean, calculation-ready spreadsheets from any PDF.
Try the Free Bank Statement & 10-K Table Converter
Upload any PDF to SheetParser. Get 1-Click Copy for Excel with zero column merging and automatic running-balance reconciliation.
The Borderless Table Nightmare
Over 90% of tables in corporate earnings reports, SEC 10-K filings, and bank statements do not use solid gridlines. Instead, they use white space and typography to indicate column structure.
When you paste text from Adobe Reader or standard OCR tools into Excel, disaster strikes:
- Interleaved columns: Numbers from 2024 and 2025 collapse into a single text cell.
- Corrupted negative values: Accounting parentheses like
(1,450)lose their negative mathematical value. - Subheaders detached: Multi-row headers get split across data rows.
How TableFormer Fixes Table Extraction
Developed by researchers at IBM, TableFormer uses a vision transformer architecture that predicts:
1. Cell Topology
Determines spanning rows, header hierarchies, and sub-totals with 99.4% precision.
2. Column Alignment
Uses geometric probability to isolate adjacent numerical columns without physical lines.
3. Clean TSV/CSV Export
Outputs tab-separated values ready for immediate paste into Excel, Google Sheets, or Pandas.
Step-by-Step: Extracting Tables in 3 Seconds
Open SheetParser Table Extractor
Navigate to SheetParser.com — the dedicated web UI for Docling.
Upload Your Financial PDF
Drop your bank statement, SEC 10-K, or audit report. TableFormer analyzes the document on dedicated GPU instances.
Click [Copy for Excel (TSV)]
Switch to your Excel workbook and press Ctrl+V. Every number lands in its own cell with correct negative formatting and zero manual adjustments.