name	document_content_extraction
description	Robustly extracts text from PDF, DOCX, and PPTX files while maintaining structural integrity for multi-column layouts and nested elements.

To ensure high-fidelity text extraction:

PDFs: Utilize pdfplumber or PyMuPDF with layout-aware parsing enabled to prevent text jumbling in multi-column academic papers.
DOCX: Use python-docx to extract text from body paragraphs, tables, and headers while ignoring metadata that may cause noise.
PPTX: Use python-pptx to iterate through slides, specifically extracting text from text frames and shapes to capture slide content.
Fallback: If text extraction fails (e.g., scanned PDFs), use an OCR fallback (e.g., pytesseract) to ensure the file is still categorizable.

name	document_content_extraction
description	Robustly extracts text from PDF, DOCX, and PPTX files while maintaining structural integrity for multi-column layouts and nested elements.

To ensure high-fidelity text extraction:

PDFs: Utilize pdfplumber or PyMuPDF with layout-aware parsing enabled to prevent text jumbling in multi-column academic papers.
DOCX: Use python-docx to extract text from body paragraphs, tables, and headers while ignoring metadata that may cause noise.
PPTX: Use python-pptx to iterate through slides, specifically extracting text from text frames and shapes to capture slide content.
Fallback: If text extraction fails (e.g., scanned PDFs), use an OCR fallback (e.g., pytesseract) to ensure the file is still categorizable.

document-content-extraction

Install options