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View Code? Open in Web Editor NEWA tool to extract text (and images) from documents (like PDFs)
License: MIT License
A tool to extract text (and images) from documents (like PDFs)
License: MIT License
from svg.path import parse_path, Line
from xml.dom import minidom
from cairosvg import svg2png
def get_xy(z):
return z.real, z.imag
svg = page.get_svg_image()
svg_doc = minidom.parseString(svg)
for use in svg_doc.getElementsByTagName('use'):
use.parentNode.removeChild(use)
for path in svg_doc.getElementsByTagName('path'):
d = path.getAttribute('fill')
if path.getAttribute('id'):
path.parentNode.removeChild(path)
svg_root = svg_doc.getElementsByTagName('svg')[0]
w, h = svg_root.getAttribute('width'), svg_root.getAttribute('height')
w = float(w.replace('pt', ''))
h = float(h.replace('pt', ''))
svg_str = str(BeautifulSoup(svg_doc.toxml(), 'lxml').find('svg'))
img = svg2png(file_obj=io.StringIO(svg_str), output_width=w, output_height=h, dpi=90)
img = np.array(Image.open(io.BytesIO(img)))
x, y = np.where(img[:, :, 0]!=0) # coordinates of SVG images
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