Docling cannot extract EMF images from docx?It has warning： image cannot be loaded by Pillow

[AngGaGim]

Question

I tested using the file test_emf_docx.docx and only one last image was extracted successfully.

code

from docling.document_converter import DocumentConverter

source = "test_emf_docx.docx"  # document per local path or URL
converter = DocumentConverter()
result = converter.convert(source)
result.document.pictures

output

Warning: image cannot be loaded by PillowWarning: image cannot be loaded by Pillow
Warning: image cannot be loaded by Pillow
[PictureItem(self_ref='#/pictures/0', parent=RefItem(cref='#/body'), children=[], content_layer=<ContentLayer.BODY: 'body'>, label=<DocItemLabel.PICTURE: 'picture'>, prov=[], captions=[], references=[], footnotes=[], image=None, annotations=[]),
 PictureItem(self_ref='#/pictures/1', parent=RefItem(cref='#/body'), children=[], content_layer=<ContentLayer.BODY: 'body'>, label=<DocItemLabel.PICTURE: 'picture'>, prov=[], captions=[], references=[], footnotes=[], image=None, annotations=[]),
 PictureItem(self_ref='#/pictures/2', parent=RefItem(cref='#/body'), children=[], content_layer=<ContentLayer.BODY: 'body'>, label=<DocItemLabel.PICTURE: 'picture'>, prov=[], captions=[], references=[], footnotes=[], image=ImageRef(mimetype='image/png', dpi=72, size=Size(width=400.0, height=400.0), uri=AnyUrl('data:image/png;base64,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')), annotations=[])]

test file content