Process PDF File using Python

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: "textanalysisr-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 TextAnalysisR Python environment

See also

Other pdf: check_vision_models(), detect_pdf_content_type(), detect_pdf_content_type_py(), extract_pdf_multimodal(), extract_pdf_smart(), extract_tables_from_pdf_py(), extract_text_from_pdf(), extract_text_from_pdf_py(), process_pdf_file()

Examples

if (FALSE) { # \dontrun{
setup_python_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)
}
} # }