This loader extracts the text from a local Microsoft PowerPoint (.pptx) file. Image elements are optionally captioned and inserted as text into the final Document using GPT2 Image Captioning model. For example, a team photo might be converted into "three people smiling in front of skyscrapers". To use this feature, initialize the loader with caption_images = True. A single local file is passed in each time you call load_data.

To use this loader, you need to pass in a Path to a local file.

from pathlib import Path
from llama_index import download_loader

PptxReader = download_loader("PptxReader")

loader = PptxReader()
documents = loader.load_data(file=Path('./deck.pptx'))

This loader is designed to be used as a way to load data into LlamaIndex and/or subsequently used as a Tool in a LangChain Agent. See here for examples.