Extracting Text from PDF and Excel Files Using Apache Tika in Python
This tutorial demonstrates how to use the tika-python library to extract textual content from PDF and Excel files, providing code examples and important notes about installation and potential formatting limitations, and suggestions for further processing to obtain readable or structured output.
This tutorial shows how to extract text from PDF and Excel files using the tika-python library.
First, import the parser and parse a PDF file:
from tika import parser
# 解析PDF文件并获取文本内容
parsed_pdf = parser.from_file('example.pdf')
print(parsed_pdf['content'])
Similarly, for an Excel file:
parsed_xlsx = parser.from_file('example.xlsx')
print(parsed_xlsx['content']) # 注意:Excel内容可能以XML形式呈现
Note: Ensure tika-python is installed and the Tika Server is running; direct extraction may have formatting limits and might require further processing for readable or structured output.
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