如何用Python提取本地PDF完整文本？禁用tika，PyPDF2提取不全

Got it, let's fix this text extraction issue. The problem with PyPDF2 here is that it struggles with PDFs that have complex layouts, form elements, or text stored in non-sequential blocks—like the one you're working with, where only the header metadata is being pulled instead of the full "Exhibit A" content.

pdfplumber parses the PDF's underlying structure at a granular level, which helps capture text that PyPDF2 misses. Here's how to use it:

1. First install the package:

pip install pdfplumber

2. Run this code to extract the full text:

import pdfplumber

with pdfplumber.open('C:\Path\To\Local\File\Test_PDF.pdf') as pdf:
    full_text = ""
    for page in pdf.pages:
        # Extract text with layout preservation (helps retain structure for docs like yours)
        page_text = page.extract_text(layout=True)
        full_text += page_text + "\n\n"

# Print the full extracted content
print(full_text)

# Optional: Save to a text file
# with open('extracted_full_text.txt', 'w', encoding='utf-8') as f:
#     f.write(full_text)

This works because pdfplumber doesn't just rely on the PDF's raw text stream order—it looks at the actual position of each character on the page, so it can reconstruct text even if it's split across form fields or disjointed layout blocks.

If pdfplumber doesn't fit your workflow, PyMuPDF is another robust tool that handles tricky PDFs well:

1. Install the package:

pip install pymupdf

2. Code example:

import fitz  # PyMuPDF alias

doc = fitz.open('C:\Path\To\Local\File\Test_PDF.pdf')
full_text = ""

for page in doc:
    page_text = page.get_text()
    full_text += page_text + "\n\n"

doc.close()
print(full_text)

Both tools should capture the "Exhibit A to RFA..." content that PyPDF2 missed. The core issue with PyPDF2 is its simpler extraction algorithm, which fails when text isn't stored in a linear, easy-to-read stream within the PDF file.

内容的提问来源于stack exchange，提问作者Jortega