Extracting Images From Pdf Using Python
How can we extract images(only images) from PDF. I used many online tools, they all are not universal. In most of the PDF, it tools the screenshot of the whole image instead of the
Solution 1:
Here is some code that reads a PDF-File using pyPdf, extracts images and yields them as a PIL.Image
. You need to modify it to your needs, it's just here to demonstrate how to walk the object tree.
import io
import pyPdf
import PIL.Image
infile_name = 'my.pdf'withopen(infile_name, 'rb') as in_f:
in_pdf = pyPdf.PdfFileReader(in_f)
for page_no inrange(in_pdf.getNumPages()):
page = in_pdf.getPage(page_no)
# Images are part of a page's `/Resources/XObject`
r = page['/Resources']
if'/XObject'notin r:
continuefor k, v in r['/XObject'].items():
vobj = v.getObject()
# We are only interested in images...if vobj['/Subtype'] != '/Image'or'/Filter'notin vobj:
continueif vobj['/Filter'] == '/FlateDecode':
# A raw bitmap
buf = vobj.getData()
# Notice that we need metadata from the object# so we can make sense of the image data
size = tuple(map(int, (vobj['/Width'], vobj['/Height'])))
img = PIL.Image.frombytes('RGB', size, buf,
decoder_name='raw')
# Obviously we can't really yield here, do something with `img`...yield img
elif vobj['/Filter'] == '/DCTDecode':
# A compressed image
img = PIL.Image.open(io.BytesIO(vobj._data))
yield img
Solution 2:
Here's a solution with PyMuPDF:
#!python3.6import fitz # PyMuPDFdefget_pixmaps_in_pdf(pdf_filename):
doc = fitz.open(pdf_filename)
xrefs = set()
for page_index inrange(doc.pageCount):
for image in doc.getPageImageList(page_index):
xrefs.add(image[0]) # Add XREFs to set so duplicates are ignored
pixmaps = [fitz.Pixmap(doc, xref) for xref in xrefs]
doc.close()
return pixmaps
defwrite_pixmaps_to_pngs(pixmaps):
for i, pixmap inenumerate(pixmaps):
pixmap.writePNG(f'{i}.png') # Might want to come up with a better name
pixmaps = get_pixmaps_in_pdf(r'C:\StackOverflow\09_chapter 4.pdf')
write_pixmaps_to_pngs(pixmaps)
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