How to Extract Tables From PDFs Automatically

You're looking at a perfectly formatted table inside a PDF. Neat rows, clean columns, all the data right there. But try to get it into a spreadsheet and everything falls apart. This happens because PDFs don't actually store tables as tables; they store individual text elements at specific coordinates. What looks like a table is just text fragments that happen to be aligned.

How to Extract PDF Tables Step by Step

1. Open your PDF and identify the tables. Note which pages contain the tables you need. For multi-page tables, you'll want to upload the entire document so the AI can merge them.

2. Upload to Siftly. Drag and drop the PDF. The AI processes the document visually; it looks at the page the way you do, identifying rows, columns, headers, and cell boundaries based on visual patterns.

3. Review the extracted table. The data maintains the original row and column structure. Check that headers are correct and data types look right (text, numbers, dates).

4. Export to Google Sheets. One click sends the clean table directly to your spreadsheet. The structure is preserved, no reformatting needed.

Tips for Tricky Tables

• No grid lines? Not a problem. The AI picks up on alternating row colors, spacing, and alignment cues
• Multi-page tables: Upload the entire document; the AI merges pages into one continuous result
• Nested headers: Hierarchical relationships are preserved in the extraction
• Mixed content: Text, numbers, and dates come through with correct types
• Scanned PDFs: Image-based PDFs work too; the AI reads them visually

PDF table extraction comes up constantly: financial reports, product catalogs, rate sheets, government forms, bank statements, invoice line items. Anywhere data is published as a PDF table, extraction saves you from retyping it.