ParseKit

Extract Tables from PDF to Excel

Pull tables from any PDF as structured data. Export as CSV or Excel.

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Handles complex multi-page tables with merged cells and headers

Preserves column headers, data types, and cell formatting

Works with both native PDFs and scanned documents

Export as CSV, JSON, or integrate directly via API

Batch processing for extracting tables from hundreds of PDFs

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Frequently Asked Questions

What types of tables can be extracted?

ParseKit handles simple data tables, complex multi-row headers, merged cells, multi-page tables, and even tables without visible borders. It uses AI to understand table structure.

Does it work with scanned PDFs?

Yes. ParseKit uses OCR to first extract text from scanned documents, then identifies and structures the table data.

Can I extract multiple tables from one PDF?

Yes. ParseKit identifies all tables in a document and returns each one as a separate structured dataset with headers and rows.

What output formats are available?

The API returns tables as JSON arrays. You can also use the export endpoint to get CSV or Excel (XLSX) files directly.