pdf-processor
Extracts text and tables from PDF documents. Use when working with PDF files or when the user needs document analysis.
When & Why to Use This Skill
The PDF Processor skill is a specialized tool designed to automate the extraction of text, tables, and metadata from PDF documents. By converting unstructured PDF content into structured, machine-readable formats like CSV and plain text, it significantly enhances document analysis efficiency and streamlines data integration workflows for researchers, analysts, and developers.
Use Cases
- Financial Analysis: Automatically extract complex financial tables from annual reports or bank statements into CSV format for data modeling and auditing.
- Academic Research: Rapidly pull text content and data sets from scientific papers and journals to facilitate literature reviews and data synthesis.
- Business Automation: Convert static PDF invoices, purchase orders, or forms into structured data to automate entry into databases or ERP systems.
- Legal Document Review: Extract specific clauses or metadata from lengthy legal PDFs to speed up the discovery and contract analysis process.
| name | pdf-processor |
|---|---|
| description | Extracts text and tables from PDF documents. Use when working with PDF files or when the user needs document analysis. |
PDF Processor
Overview
Process PDF documents to extract text, tables, and metadata.
Instructions
- Validate the PDF file exists and is readable
- Extract text content using appropriate parser
- Identify and extract tabular data
- Return structured output
Examples
Input: "Extract the text from report.pdf" Output: Plain text content of the document
Input: "Get all tables from financial-report.pdf" Output: CSV-formatted table data
Error Handling
If the PDF is encrypted, inform the user that a password may be required. If the file is corrupted, return an appropriate error message.