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Process PDF File using Python

Source: R/pdf_processing_python.R
process_pdf_file_py.Rd

Main function to process PDF files using pdfplumber (Python). Automatically detects content type and extracts data accordingly. No Java required.

Usage

process_pdf_file_py(
  file_path,
  content_type = "auto",
  envname = "textanalysisr-env"
)

Arguments

file_path

Character string path to PDF file

content_type

Character string: "auto", "text", or "tabular" If "auto", will detect content type automatically

envname

Character string, name of Python virtual environment (default: "langgraph-env")

Value

List with:

  • data: Data frame with extracted content

  • type: Character string indicating content type

  • success: Logical indicating success

  • message: Character string with status message

Details

This function uses Python's pdfplumber library which:

  • Handles both text and tables

  • No Java dependency

  • Better accuracy than tabulizer for complex tables

  • Uses same Python environment as LangGraph

Examples

if (FALSE) { # \dontrun{
setup_langgraph_env()

pdf_path <- "path/to/document.pdf"
result <- process_pdf_file_py(pdf_path)

if (result$success) {
  print(head(result$data))
} else {
  print(result$message)
}
} # }