Extract text with annotations Leave feedback
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Sometimes you want the document’s text and its annotations in one pass, for example to index a reviewed document for search or to give an AI model the whole picture. Set include_annotations to True on TextOptions and pass the options to get_text: the annotations’ text is included in the extracted text, after the text of the page each annotation is on.
from groupdocs.parser import Parser
from groupdocs.parser.options import TextOptions
with Parser("./reviewed.pdf") as parser:
# Ask for the annotations' text together with the document text
options = TextOptions(False)
options.include_annotations = True
text = parser.get_text(options)
if text is None:
print("Text extraction isn't supported for this format")
else:
print(text)
The following sample file is used in this example: reviewed.pdf
Expected behavior: Prints the document text. The two annotations of the sample’s first page follow the text of that page.
TextOptions(False) keeps the default (accurate) extraction mode; include_annotations is False by default.
from groupdocs.parser import Parser
from groupdocs.parser.options import TextOptions
with Parser("./reviewed.pdf") as parser:
options = TextOptions(False)
options.include_annotations = True
plain = parser.get_text()
with_annotations = parser.get_text(options)
# Annotation text appears only in the second result
for annotation in parser.get_annotations() or []:
print("%r: %s / %s" % (annotation.value,
annotation.value in plain,
annotation.value in with_annotations))
The following sample file is used in this example: reviewed.pdf
Expected behavior: For the sample, prints:
'Approve the hero crop before the print run.': False / True
'Aurora Visuals portfolio': False / True
The command line does the same with groupdocs-parser text reviewed.pdf --include-annotations.
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