PyPDFium2Loader#

class langchain_community.document_loaders.pdf.PyPDFium2Loader(file_path: str, *, headers: Dict | None = None, extract_images: bool = False)[source]#

Load PDF using pypdfium2 and chunks at character level.

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()

Lazy load given path as pages.

load()

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)

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

Initialize with a file path.

Parameters:
  • file_path (str)

  • headers (Dict | None)

  • extract_images (bool)

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]#

Lazy load given path as pages.

Return type:

Iterator[Document]

load() list[Document]#

Load data into Document objects.

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 PyPDFium2Loader