Python's pdfminer: a tool for extracting information from PDF documents

pdfminer is a Python library for extracting information from PDF documents. It provides a series of functions that allow us to read and parse PDF files, and extract text content, metadata, page layout and images from them. This article will introduce in detail the usage examples of the pdfminer library, including installation, parsing documents, extracting text and images, etc.

First, we need to install the pdfminer library. It can be installed using pip with the following command:

pip install pdfminer.six

pdfminer.six is the Python3 version of pdfminer.

After the installation is complete, we can start using the pdfminer library. Here is sample code for some commonly used functions:

1. Parse the PDF document:

from pdfminer.pdfparser import PDFParser
from pdfminer.pdfdocument import PDFDocument

# 打开PDF文件
with open('example.pdf', 'rb') as file:
    # 创建一个PDFParser对象
    parser = PDFParser(file)

    # 创建一个PDFDocument对象
    document = PDFDocument(parser)

    # 检查文档是否被加密
    if document.is_extractable:
        # 获取文档的布局数据
        layout = document.layout
        print("布局数据:", layout)

        # 获取文档的元数据
        metadata = document.info
        print("元数据:", metadata)

2. Extract text content:

from pdfminer.pdfinterp import PDFResourceManager, PDFPageInterpreter
from pdfminer.converter import TextConverter
from pdfminer.layout import LAParams
from pdfminer.pdfpage import PDFPage
from io import StringIO

# 打开PDF文件
with open('example.pdf', 'rb') as file:
    # 创建一个PDFResourceManager对象
    resource_manager = PDFResourceManager()

    # 创建一个StringIO对象，用于存储提取的文本内容
    output = StringIO()

    # 创建一个TextConverter对象
    converter = TextConverter(resource_manager, output, laparams=LAParams())

    # 创建一个PDFPageInterpreter对象
    interpreter = PDFPageInterpreter(resource_manager, converter)

    # 逐页解析文档
    for page in PDFPage.get_pages(file):
        interpreter.process_page(page)

    # 获取提取的文本内容
    text = output.getvalue()
    print(text)

3. Extract pictures:

from pdfminer.pdfparser import PDFParser
from pdfminer.pdfdocument import PDFDocument
from pdfminer.pdftypes import PDFStream
import io

# 打开PDF文件
with open('example.pdf', 'rb') as file:
    # 创建一个PDFParser对象
    parser = PDFParser(file)
    document = PDFDocument(parser)

    # 检查文档是否被加密
    if document.is_extractable:
        # 获取文档中的所有图片
        for xref in document.xrefs:
            if xref.get_subtype() == '/Image':
                stream_obj = xref.get_object()

                if isinstance(stream_obj, PDFStream):
                    # 获取图片的原始字节
                    data = stream_obj.get_rawdata()

                    # 将字节转换为图像
                    image = Image.open(io.BytesIO(data))
                    image.show()

Through the above sample code, we can find that the pdfminer library provides a series of methods for extracting information from PDF documents. Whether it is parsing documents, extracting text content, or extracting images, the pdfminer library can well meet our needs. Hope this detailed example is helpful for your study!

Python's pdfminer: a tool for extracting information from PDF documents

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