table-extractor

Extract tabular data from PDFs into structured DataFrames.

1|Updated May 18, 2026

Search Tags:#pdf #reporting #excel #extraction #tables #dataframe #camelot

Ready to run

npx skills add https://github.com/hmzainjamil/claude-office-skills --skill table-extractor-hmzainjamil

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: table-extractor
Source: https://github.com/hmzainjamil/claude-office-skills/tree/main/table-extractor
Command: npx skills add https://github.com/hmzainjamil/claude-office-skills --skill table-extractor-hmzainjamil

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill removes the manual effort of copying tables out of PDFs by turning complex document tables into structured, reusable data.

Core Features & Use Cases

PDF Table Extraction: Detect and extract bordered or borderless tables from PDFs with high accuracy.
Table Cleanup and Export: Convert extracted tables into DataFrames and export them to CSV, Excel, JSON, or HTML.
Practical Use Case: Use it on invoices, financial reports, research papers, or multi-page documents to quickly capture tabular data for analysis or reporting.

Quick Start

Extract all tables from the PDF and return them as clean structured data, using the best detection method for the document.

Frequently Asked Questions about table-extractor

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I extract tables from PDF files into Excel or CSV?▼

To extract tables from PDF files into Excel or CSV, the table-extractor Skill parses PDF documents using camelot-based detection to convert bordered or borderless tables into clean DataFrames ready for export.

Can I extract borderless tables from multi-page PDF reports?▼

Yes, you can extract borderless tables from multi-page PDF reports. The Skill applies advanced area targeting and page selection to accurately capture tabular data from complex documents like financial statements.

What is the best way to convert PDF invoice data into a structured DataFrame?▼

The best way to convert PDF invoice data into a structured DataFrame is using automated camelot-based PDF parsing, which detects and cleans tabular data for immediate analysis or export to JSON and HTML.

Does this PDF table extraction method work on research papers?▼

Yes, this PDF table extraction method works on research papers. The Skill accurately detects and extracts complex bordered or borderless tables from multi-page documents and returns clean structured datasets.

Do I need to specify page numbers to extract tables from a PDF?▼

You can extract all tables from a PDF automatically or use page selection and area targeting to specify exact pages. This ensures accurate table extraction from multi-page reports without manual cleanup.