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Extracting Text from PDFs: An Alternative Approach with Tika
When attempting to extract text from a PDF file using PyPDF2 and getting unsatisfactory results, alternatives may be necessary. Tika-Python emerges as a potential solution for extracting text accurately.
Tika-Python leverages Apache Tika's RESTful services, providing direct integration with Python. Its straightforward syntax simplifies text extraction tasks:
from tika import parser # pip install tika raw = parser.from_file('sample.pdf') print(raw['content'])
However, it's important to note that Tika-Python relies on a Java runtime, which needs to be installed to use this approach. Nonetheless, if compatibility with Python 3.x and Windows is a priority, Tika-Python offers an alternative path for text extraction from PDFs, resolving potential issues faced with PyPDF2.
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