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Beyond basic text extraction, you can search inside documents and control how text is returned. This page shows common tasks; consult the API reference for the full list of text-related methods and options.
from groupdocs.parser import Parser
from groupdocs.parser.options import SearchOptions
with Parser("sample.pdf") as parser:
# match_case, match_whole_word, use_regular_expression, search_by_pages
options = SearchOptions(False, False, False, True)
results = parser.search("harvest", options)
if results is None:
print("Search isn't supported for this format.")
else:
for result in results:
print(f"Found on page {result.page_index + 1}: {result.text}")
The following sample file is used in this example: sample.pdf
parser.search()returns occurrences with matched text; setsearch_by_pagesinSearchOptionsto get page indexes.- For regex or case-sensitive searches, use search options from
groupdocs.parser.options(see the API reference for available parameters). - Combine search with
get_text()orget_text()per page to extract surrounding content.
GroupDocs.Parser can return formatted text (HTML/Markdown/plain) and structured text (headings, lists, tables) when supported by the format.
from groupdocs.parser import Parser
from groupdocs.parser.options import FormattedTextOptions, FormattedTextMode
with Parser("sample.pptx") as parser:
# Extract formatted text as Markdown (HTML and PLAIN_TEXT modes are also available)
reader = parser.get_formatted_text(FormattedTextOptions(FormattedTextMode.MARKDOWN))
print(reader.read_to_end() if reader is not None else "Formatted text isn't available.")
The following sample file is used in this example: sample.pptx
See the API reference for the formatted and structured text methods supported in Python via .NET.
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