PDFPlumberParser#

class langchain_community.document_loaders.parsers.pdf.PDFPlumberParser(
text_kwargs: Mapping[str, Any] | None = None,
dedupe: bool = False,
extract_images: bool = False,
)[source]#

Parse PDF with PDFPlumber.

Initialize the parser.

Parameters:

  • text_kwargs (Optional[Mapping[str, Any]]) – Keyword arguments to pass to pdfplumber.Page.extract_text()

  • dedupe (bool) – Avoiding the error of duplicate characters if dedupe=True.

  • extract_images (bool)

Methods

__init__([text_kwargs, dedupe, extract_images])

Initialize the parser.

lazy_parse(blob)

Lazily parse the blob.

parse(blob)

Eagerly parse the blob into a document or documents.
__init__(
text_kwargs: Mapping[str, Any] | None = None,
dedupe: bool = False,
extract_images: bool = False,
) → None[source]#

Initialize the parser.

Parameters:

  • text_kwargs (Mapping[str, Any] | None) – Keyword arguments to pass to pdfplumber.Page.extract_text()

  • dedupe (bool) – Avoiding the error of duplicate characters if dedupe=True.

  • extract_images (bool)

Return type:

None

lazy_parse(
blob: Blob,
) → Iterator[Document][source]#

Lazily parse the blob.

Parameters:

blob (Blob)

Return type:

Iterator[Document]

parse(blob: Blob) → list[Document]#

Eagerly parse the blob into a document or documents.

This is a convenience method for interactive development environment.

Production applications should favor the lazy_parse method instead.

Subclasses should generally not over-ride this parse method.

Parameters:

blob (Blob) – Blob instance

Returns:

List of documents

Return type:

list[Document]