Toggle Menu
Prev Up Next

# `langchain_community.document_loaders.pdf`.PyPDFium2Loader

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

  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 (Optional[Dict]) –

    - extract_images (bool) –

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

    Initialize with a file path.

    Parameters

      - file_path (str) –

      - headers (Optional[Dict]) –

      - 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]

    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: Optional[TextSplitter] = 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

- PDF