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Addresses [#1332](https://github.com/Unstructured-IO/unstructured/issues/1332) with `unstructured-inference` PR [#208](https://github.com/Unstructured-IO/unstructured-inference/pull/208). ### Summary - Add `image_path` to element metadata - Pass parameters related to extracting images in PDF - Preserve image elements ignored due to garbage text if `el.metadata.image_path` is `True` ### Testing from unstructured.partition.pdf import partition_pdf f_path = "example-docs/embedded-images.pdf" # default image output directory elements = partition_pdf( f_path, strategy=strategy, extract_images_in_pdf=True, ) # specific image output directory elements = partition_pdf( f_path, strategy=strategy, extract_images_in_pdf=True, image_output_dir_path=<directory path>, )
Example Docs
The sample docs directory contains the following files:
example-10k.html- A 10-K SEC filing in HTML formatlayout-parser-paper.pdf- A PDF copy of the layout parser paperfactbook.xml/factbook.xsl- Example XML/XLS files that you can use to test stylesheets
These documents can be used to test out the parsers in the library. In addition, here are instructions for pulling in some sample docs that are too big to store in the repo.
XBRL 10-K
You can get an example 10-K in inline XBRL format using the following curl. Note, you need
to have the user agent set in the header or the SEC site will reject your request.
curl -O \
-A '${organization} ${email}'
https://www.sec.gov/Archives/edgar/data/311094/000117184321001344/0001171843-21-001344.txt
You can parse this document using the HTML parser.