PyMuPDFLoader#

class langchain_community.document_loaders.pdf.PyMuPDFLoader(file_path: str, *, headers: Dict | None = None, extract_images: bool = False, **kwargs: Any)[source]#

Load PDF files using PyMuPDF.

Initialize with a file path.

Attributes

source

Methods

`__init__`(file_path, *[, headers, extract_images])	Initialize with a file path.
`alazy_load`()	A lazy loader for Documents.
`aload`()	Load data into Document objects.
`lazy_load`()	A lazy loader for Documents.
`load`(**kwargs)	Load data into Document objects.
`load_and_split`([text_splitter])	Load Documents and split into chunks.

Parameters:

file_path (str)
headers (Dict | None)
extract_images (bool)
kwargs (Any)

__init__(file_path: str, *, headers: Dict | None = None, extract_images: bool = False, **kwargs: Any) → None[source]#

Initialize with a file path.

Parameters:

file_path (str)
headers (Dict | None)
extract_images (bool)
kwargs (Any)

Return type:

None

async alazy_load() → AsyncIterator[Document]#

A lazy loader for Documents.

Return type:: AsyncIterator[Document]

async aload() → list[Document]#

Load data into Document objects.

Return type:: list[Document]

lazy_load() → Iterator[Document][source]#

A lazy loader for Documents.

Return type:: Iterator[Document]

load(**kwargs: Any) → List[Document][source]#

Load data into Document objects.

Parameters:: kwargs (Any)
Return type:: List[Document]

load_and_split(text_splitter: TextSplitter | None = None) → list[Document]#

Load Documents and split into chunks. Chunks are returned as Documents.

Do not override this method. It should be considered to be deprecated!

Parameters:: text_splitter (Optional[TextSplitter]) – TextSplitter instance to use for splitting documents. Defaults to RecursiveCharacterTextSplitter.
Returns:: List of Documents.
Return type:: list[Document]

Examples using PyMuPDFLoader

PyMuPDF