Skip to main content
Version: 3.2-unstable

Opendataloader Pdf

haystack_integrations.components.converters.opendataloader_pdf.converter​

OpenDataLoaderConverter​

OpenDataLoader PDF converter component.

The component accepts PDF file paths and Haystack ByteStream objects, runs OpenDataLoader PDF extraction, and returns Haystack Document objects. It can also extract images to a persistent directory and return one image Document per extracted file.

Java 11 or newer must be installed and available on PATH.

Usage example​

python
from haystack_integrations.components.converters.opendataloader_pdf import OpenDataLoaderConverter

converter = OpenDataLoaderConverter(
    output_format="markdown", extract_images=True, image_output_dir="extracted_images"
)
result = converter.run(sources=["report.pdf"], meta={"source": "annual-report"})

documents = result["documents"]
image_documents = result["image_documents"]
print(documents[0].content)
print(documents[0].meta["file_path"])

init​

python
__init__(
    *,
    output_format: OutputFormat = "markdown",
    convert_kwargs: dict[str, Any] | None = None,
    extract_images: bool = False,
    image_output_dir: str | Path | None = None
) -> None

Initialize the OpenDataLoader converter.

Parameters:

  • output_format (OutputFormat) – Format OpenDataLoader should produce.
  • convert_kwargs (dict[str, Any] | None) – Additional arguments passed to opendataloader_pdf.convert. See the OpenDataLoader PDF Python options. The image_output and image_dir arguments are managed by this component; supplied values are ignored.
  • extract_images (bool) – Whether to extract images and return them through the image_documents output.
  • image_output_dir (str | Path | None) – Persistent root directory for extracted image files. Each run() stores its images in a unique subdirectory of this directory. Required when extract_images is True.

Raises:

  • ValueError – If image extraction is enabled without an output directory.

to_dict​

python
to_dict() -> dict[str, Any]

Serialize the component.

Returns:

  • dict[str, Any] – Dictionary representation of the converter.

from_dict​

python
from_dict(data: dict[str, Any]) -> OpenDataLoaderConverter

Deserialize the component.

Parameters:

  • data (dict[str, Any]) – Serialized component dictionary.

Returns:

  • OpenDataLoaderConverter – Reconstructed OpenDataLoaderConverter.

run​

python
run(
    sources: list[str | Path | ByteStream],
    meta: dict[str, Any] | list[dict[str, Any]] | None = None,
) -> dict[str, list[Document]]

Convert PDF sources into Haystack Documents.

Parameters:

  • sources (list[str | Path | ByteStream]) – PDF file paths or Haystack ByteStream objects.
  • meta (dict[str, Any] | list[dict[str, Any]] | None) – Optional metadata attached to the generated Documents. A single dictionary is applied to every source. A list must contain one dictionary per source. ByteStream metadata is also preserved.

Returns:

  • dict[str, list[Document]] – Dictionary containing the converted text Documents and image Documents. Each image Document has the persistent extracted image path in its file_path metadata field.