langchain.document_loaders.pdf.PyPDFLoader¶

class langchain.document_loaders.pdf.PyPDFLoader(file_path: str, password: Optional[Union[str, bytes]] = None, headers: Optional[Dict] = None, extract_images: bool = False)[source]¶

Load PDF using pypdf into list of documents.

Loader chunks by page and stores page numbers in metadata.

Initialize with a file path.

Attributes

source

Methods

__init__(file_path[, password, headers, ...])

Initialize with a file path.

lazy_load()

Lazy load given path as pages.

load()

Load given path as pages.

load_and_split([text_splitter])

Load Documents and split into chunks.
__init__(file_path: str, password: Optional[Union[str, bytes]] = None, headers: Optional[Dict] = None, extract_images: bool = False) → None[source]¶

Initialize with a file path.

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

Lazy load given path as pages.

load() → List[Document][source]¶

Load given path as pages.

load_and_split(text_splitter: Optional[TextSplitter] = None) → List[Document]¶

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

Parameters

text_splitter – TextSplitter instance to use for splitting documents. Defaults to RecursiveCharacterTextSplitter.

Returns

List of Documents.

Examples using PyPDFLoader¶