TesseractBlobParser#

class langchain_community.document_loaders.parsers.images.TesseractBlobParser( *, langs: Iterable[str] = ('eng',), )[source]#

Parse for extracting text from images using the Tesseract OCR library.

Initialize the TesseractBlobParser.

Methods

`__init__`(*[, langs])	Initialize the TesseractBlobParser.
`lazy_parse`(blob)	Lazily parse a blob and yields Documents containing the parsed content.
`parse`(blob)	Eagerly parse the blob into a document or documents.

__init__( *, langs: Iterable[str] = ('eng',), )[source]#

Initialize the TesseractBlobParser.

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

Lazily parse a blob and yields Documents containing the parsed content.

Parameters:: blob (Blob) – The blob to be parsed.
Yields:: Document – A document containing the parsed content and metadata.
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.