# PyMuPDF Loader

This loader extracts text from a local PDF file using the `PyMuPDF` Python library. This is the fastest among all other PDF parsing options available in `loader_hub`. If `metadata` is passed as True while calling `load` function; extracted documents will include basic metadata such as page numbers, file path and total number of pages in pdf.

## Usage

To use this loader, you need to pass file path of the local file as string or `Path` when you call `load` function. By default, including metadata is set to True. You can also pass extra information in a `dict` format when you call `load` function.

```python
from pathlib import Path
from llama_index import download_loader

PyMuPDFReader = download_loader("PyMuPDFReader")

loader = PyMuPDFReader()
documents = loader.load(file_path=Path('./article.pdf'), metadata=True)
```

This loader is designed to be used as a way to load data into [LlamaIndex](https://github.com/jerryjliu/gpt_index/tree/main/gpt_index) and/or subsequently used as a Tool in a [LangChain](https://github.com/hwchase17/langchain) Agent. See [here](https://github.com/emptycrown/llama-hub/tree/main) for examples.