Extract Tables

Detects all tables in a PDF and lets you export them in your choice of format: CSV, JSON, or Markdown. Each table is extracted individually with page and position metadata. Powered by PyMuPDF's table detection engine.

How It Works

1. Upload a PDF by clicking the drop zone or dragging a file onto it.
2. Select your preferred export format -- CSV, JSON, or Markdown.
3. Click Extract to start processing.
4. If one table is found, it downloads as a single file. Multiple tables produce a ZIP archive with one file per table.

Options

• Export Format -- choose between:
  • CSV -- comma-separated values with proper quoting for fields containing commas, quotes, or newlines. Suitable for spreadsheets and databases.
  • JSON -- array-of-arrays structure, pretty-printed with 2-space indentation. Suitable for programmatic consumption.
  • Markdown -- pipe-delimited table format rendered by PyMuPDF. Suitable for documentation and README files.

Output Format

• Single table: filename_table.csv (or .json / .md)
• Multiple tables: filename_tables.zip containing files named table_1_page3.csv, table_2_page5.csv, etc.

Use Cases

• Extracting specific tables from lengthy PDF reports without pulling the entire document's data.
• Getting tables in Markdown format for pasting directly into GitHub issues, wikis, or documentation.
• Pulling structured JSON data from PDF tables for API integrations or scripts.
• Comparing tables across different PDF versions by exporting both to CSV and diffing.

Tips

• This tool gives you per-table control. If you just want all tables dumped into a single CSV, use PDF to CSV. For a full Excel workbook, use PDF to Excel.
• Tables that span multiple pages may be detected as separate tables per page. You may need to concatenate them manually.
• If no tables are detected, the PDF might be a scanned image. Run it through OCR first to add a text layer.

Related Tools

• PDF to CSV
• PDF to Excel
• PDF to Text