60 lines
1.6 KiB
ReStructuredText
60 lines
1.6 KiB
ReStructuredText
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.. _tutorial_highlevel:
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Extract text from a PDF using Python
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************************************
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The high-level API can be used to do common tasks.
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The most simple way to extract text from a PDF is to use
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:ref:`api_extract_text`:
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.. doctest::
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>>> from pdfminer.high_level import extract_text
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>>> text = extract_text('samples/simple1.pdf')
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>>> print(repr(text))
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'Hello \n\nWorld\n\nHello \n\nWorld\n\nH e l l o \n\nW o r l d\n\nH e l l o \n\nW o r l d\n\n\x0c'
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>>> print(text)
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... # doctest: +NORMALIZE_WHITESPACE
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Hello
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<BLANKLINE>
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World
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<BLANKLINE>
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Hello
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<BLANKLINE>
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World
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<BLANKLINE>
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H e l l o
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<BLANKLINE>
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W o r l d
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<BLANKLINE>
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H e l l o
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<BLANKLINE>
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W o r l d
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<BLANKLINE>
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To read text from a PDF and print it on the command line:
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.. doctest::
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>>> from io import StringIO
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>>> from pdfminer.high_level import extract_text_to_fp
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>>> output_string = StringIO()
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>>> with open('samples/simple1.pdf', 'rb') as fin:
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... extract_text_to_fp(fin, output_string)
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>>> print(output_string.getvalue().strip())
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Hello WorldHello WorldHello WorldHello World
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Or to convert it to html and use layout analysis:
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.. doctest::
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>>> from io import StringIO
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>>> from pdfminer.high_level import extract_text_to_fp
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>>> from pdfminer.layout import LAParams
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>>> output_string = StringIO()
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>>> with open('samples/simple1.pdf', 'rb') as fin:
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... extract_text_to_fp(fin, output_string, laparams=LAParams(),
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... output_type='html', codec=None)
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