processing-files
Converts PDF files to markdown text. Use when the user wants to extract text from PDFs, convert PDFs to readable format, or process PDF documents.
When & Why to Use This Skill
This Claude skill provides a robust solution for converting PDF files into clean, structured Markdown text. It streamlines the process of extracting content from complex documents, making them easily readable, editable, and optimized for LLM analysis or documentation workflows.
Use Cases
- Case 1: Converting lengthy PDF reports and whitepapers into Markdown for efficient AI-powered summarization and data synthesis.
- Case 2: Extracting text from technical manuals or academic papers to integrate into searchable knowledge bases or personal notes.
- Case 3: Automating the transformation of legacy PDF archives into version-controlled Markdown files for better documentation management.
- Case 4: Pre-processing PDF documents to extract clean text for downstream data analysis, NLP tasks, or LLM prompt engineering.
| name | processing-files |
|---|---|
| description | Converts PDF files to markdown text. Use when the user wants to extract text from PDFs, convert PDFs to readable format, or process PDF documents. |
File Processing Tools
Tools for converting and processing file formats.
PDF to Markdown
Extract text from PDF files and convert to markdown format.
Basic usage
result = await pdf_to_markdown(file_path="/path/to/document.pdf")
# Returns: {"success": True, "data": {"markdown": "# Document Title\n\nContent..."}}
With page limits
# Extract first 5 pages only
result = await pdf_to_markdown(
file_path="/path/to/document.pdf",
max_pages=5
)
Response format
{
"success": true,
"data": {
"markdown": "extracted markdown content",
"page_count": 10,
"file_path": "/path/to/document.pdf"
}
}
Requirements
Requires pymupdf package for PDF processing.
When to use
- Converting PDF reports to readable text
- Extracting content from PDF documents
- Processing PDF files for further analysis