每当用户需要对PDF文件进行任何操作时,均可使用此技能。 这包括阅读或从PDF中提取文本/表格、将多个PDF合并为一个、拆分PDF、旋转页面、添加水印、创建新PDF、填写PDF表单、加密/解密PDF、提取图片,以及对扫描的PDF进行OCR处理以使其可搜索。 如果用户提及.pdf文件或要求生成此类文件,请使用此技能。
...展开全部PDF 处理指南
概述
本指南介绍了使用 Python 库和命令行工具进行PDF 处理的基本操作。有关高级功能、JavaScript 库和详细示例,请参阅 REFERENCE.md。如果您需要填写PDF 表单,请阅读 FORMS.md 并按照其中的说明操作。
快速入门
frompypdf import PdfReader,Pdf Writer# 读取PDF reader=PdfReader("document.pdf")
print(f"页数:{len(reader.pages)}")# 提取文本
text =""
forpageinreader.pages:
text += page.extract_text()
Python 库
pypdf - 基本操作
合并PDF文件
frompypdf import PdfWriter,PdfReaderwriter =PdfWriter()
for pdf_filein["doc1.pdf","doc2.pdf","doc3.pdf"]:
reader =PdfReader(pdf_file)
forpageinreader.pages:
writer.add_page(page)with open("merged.pdf","wb")asoutput:
writer.write(output)
拆分PDF
reader =PdfReader("input.pdf")
fori, pagein enumerate(reader.pages):
writer =PdfWriter()
writer.add_page(page)
with open(f"page_{i+1}.pdf","wb")asoutput:
writer.write(output)
提取元数据
reader =PdfReader("document.pdf")
meta = reader.metadata
print(f"标题:{meta.title}")
print(f"作者:{meta.author}")
print(f"主题:{meta.subject}")
print(f"创建者:{meta.creator}")
旋转页面
reader =PdfReader("input.pdf")
writer =PdfWriter()page = reader.pages[0]
page.rotate(90) # 顺时针旋转 90 度
writer.add_page(page)with open("rotated.pdf","wb")asoutput:
writer.write(output)
pdfplumber - 文本和表格提取
带版式布局的文本提取
import pdfplumberwith pdfplumber.open("document.pdf")as pdf:
forpagein pdf.pages:
text = page.extract_text()
print(text)
提取表格
使用 pdfplumber.open("document.pdf")as pdf:
fori, pagein enumerate(pdf.pages):
tables = page.extract_tables()
forj, tablein enumerate(tables):
print(f"第{j+1} 个表格位于第 {i+1} 页:")
forrowintable:
print(row)
高级表格提取
importpandasaspdwith pdfplumber.open("document.pdf")as pdf:
all_tables = []
forpagein pdf.pages:
tables = page.extract_tables()
fortableintables:
iftable: # 检查表格是否不为空
df = pd.DataFrame(table[1:], columns=table[0])
all_tables.append(df)# 合并所有表格
ifall_tables:
combined_df = pd.concat(all_tables,ignore_index=True)
combined_df.to_excel("extracted_tables.xlsx",index=False)
reportlab - 创建PDF
基础PDF 创建
fromreportlab.lib.pagesizesimportletter
fromreportlab.pdfgenimportcanvas
c = canvas.Canvas("hello.pdf", pagesize=letter)
width, height = letter# 添加文本
c.drawString(100, height -100,"Hello World!")
c.drawString(100, height -120,"这是使用 reportlab 创建的PDF ")# 添加一条线
c.line(100, height -140,400, height -140)# 保存
c.save()
创建包含多页的PDF
fromreportlab.lib.pagesizesimportletter
fromreportlab.platypusimportSimpleDocTemplate, Paragraph, Spacer, PageBreak
fromreportlab.lib.stylesimportgetSampleStyleSheetdoc = SimpleDocTemplate("report.pdf", pagesize=letter)
styles = getSampleStyleSheet()
story = []# 添加内容
title = Paragraph("报告标题", styles['Title'])
story.append(title)
story.append(Spacer(1,12))body = Paragraph("这是报告正文。 "*20, styles['Normal'])
story.append(body)
story.append(PageBreak())# 第 2 页
story.append(Paragraph("第 2 页", styles['Heading1']))
story.append(Paragraph("第2页内容", styles['Normal']))# 生成PDFdoc.build(story)
下标和上标
重要提示: 切勿在 ReportLab 的PDF中使用 Unicode 下标/上标字符(₀₁₂₃₄₅₆₇₈₉, ⁰¹²³⁴⁵⁶⁷⁸⁹)。内置字体不包含这些字形,会导致它们渲染为实心黑框。
请改用 ReportLab 的 XML 标记标签,并在 Paragraph 对象中使用:
fromreportlab.platypusimportParagraph
fromreportlab.lib.stylesimportgetSampleStyleSheetstyles = getSampleStyleSheet()# 下标:使用 标签
chemical = Paragraph("H2O", styles['Normal'])# 上标:使用 标签
squared = Paragraph("x2 +y2 ", styles['Normal'])
对于在画布上绘制的文本(非 Paragraph 对象),请手动调整字体大小和位置,而非使用 Unicode 下标/上标。
命令行工具
pdftotext(poppler-utils)
# 提取文本
pdftotext input.pdf output.txt# 保留版式提取文本
pdftotext -layout input.pdf output.txt# 提取特定页面
pdftotext -f 1 -l 5 input.pdf output.txt # 第 1-5 页
qpdf
# 合并PDFs
qpdf --empty --pages file1.pdf file2.pdf -- merged.pdf# 拆分页面
qpdf input.pdf --pages . 1-5 -- pages1-5.pdf
qpdf input.pdf --pages . 6-10 -- pages6-10.pdf# 旋转页面
qpdf 输入。pdf 输出。pdf --rotate=+90:1 # 将第 1 页旋转 90 度# 移除密码
qpdf --password=mypassword --decrypt encrypted.pdf decrypted.pdf
pdftk(如有)
# 合并
pdftk file1.pdf file2.pdf catoutput merged.pdf# 拆分
pdftk input.pdf burst# 旋转
pdftk input.pdf rotate 1east output rotated.pdf
常见任务
从扫描的PDF中提取文本
# 依赖:pip install pytesseractpdf2image
importpytesseract
from pdf2imageimport convert_from_path# 将PDF 转换为图像
images = convert_from_path('scanned.pdf')# 对每页进行 OCR 识别
text =""
fori, imagein enumerate(images):
text +=f"第 {i+1} 页:\n"
text += pytesseract.image_to_string(image)
text +="\n\n"print(text)
添加水印
frompypdf import PdfReader,Pdf Writer# 创建水印(或加载现有水印)
watermark =PdfReader("watermark.pdf").pages[0]# 应用到所有页面
reader =PdfReader("document.pdf")
writer =PdfWriter()forpageinreader.pages:
page.merge_page(水印)
writer.add_page(page)with open("watermarked.pdf","wb")asoutput:
writer.write(output)
提取图片
# 使用pdf提取图片(poppler-utils)pdfimages -j input.pdf output_prefix# 这将提取所有图片,并以output_prefix-000.jpg、output_prefix-001.jpg等格式保存
密码保护
frompypdf import PdfReader,PdfWriterreader =PdfReader("input.pdf")
writer =PdfWriter()forpageinreader.pages:
writer.add_page(page)# 添加密码
writer.encrypt("userpassword","ownerpassword")with open("encrypted.pdf","wb")asoutput:
writer.write(output)
快速参考
后续步骤
- 有关 pypdfium2 的高级用法,请参阅 REFERENCE.md
- 有关 JavaScript 库(pdf-lib),请参阅 REFERENCE.md
- 如需填写PDF 表单,请按照 FORMS.md 中的说明操作
- 有关故障排除指南,请参阅 REFERENCE.md
PDF Processing Guide
Overview
This guide covers essential PDF processing operations using Python libraries and command-line tools. For advanced features, JavaScript libraries, and detailed examples, see REFERENCE.md. If you need to fill out a PDF form, read FORMS.md and follow its instructions.
Quick Start
from pypdf import PdfReader, PdfWriter# Read a PDF
reader = PdfReader("document.pdf")
print(f"Pages: {len(reader.pages)}")# Extract text
text = ""
for page in reader.pages:
text += page.extract_text()
Python Libraries
pypdf - Basic Operations
Merge PDFs
from pypdf import PdfWriter, PdfReaderwriter = PdfWriter()
for pdf_file in ["doc1.pdf", "doc2.pdf", "doc3.pdf"]:
reader = PdfReader(pdf_file)
for page in reader.pages:
writer.add_page(page)with open("merged.pdf", "wb") as output:
writer.write(output)
Split PDF
reader = PdfReader("input.pdf")
for i, page in enumerate(reader.pages):
writer = PdfWriter()
writer.add_page(page)
with open(f"page_{i+1}.pdf", "wb") as output:
writer.write(output)
Extract Metadata
reader = PdfReader("document.pdf")
meta = reader.metadata
print(f"Title: {meta.title}")
print(f"Author: {meta.author}")
print(f"Subject: {meta.subject}")
print(f"Creator: {meta.creator}")
Rotate Pages
reader = PdfReader("input.pdf")
writer = PdfWriter()page = reader.pages[0]
page.rotate(90) # Rotate 90 degrees clockwise
writer.add_page(page)with open("rotated.pdf", "wb") as output:
writer.write(output)
pdfplumber - Text and Table Extraction
Extract Text with Layout
import pdfplumberwith pdfplumber.open("document.pdf") as pdf:
for page in pdf.pages:
text = page.extract_text()
print(text)
Extract Tables
with pdfplumber.open("document.pdf") as pdf:
for i, page in enumerate(pdf.pages):
tables = page.extract_tables()
for j, table in enumerate(tables):
print(f"Table {j+1} on page {i+1}:")
for row in table:
print(row)
Advanced Table Extraction
import pandas as pdwith pdfplumber.open("document.pdf") as pdf:
all_tables = []
for page in pdf.pages:
tables = page.extract_tables()
for table in tables:
if table: # Check if table is not empty
df = pd.DataFrame(table[1:], columns=table[0])
all_tables.append(df)# Combine all tables
if all_tables:
combined_df = pd.concat(all_tables, ignore_index=True)
combined_df.to_excel("extracted_tables.xlsx", index=False)
reportlab - Create PDFs
Basic PDF Creation
from reportlab.lib.pagesizes import letter
from reportlab.pdfgen import canvasc = canvas.Canvas("hello.pdf", pagesize=letter)
width, height = letter# Add text
c.drawString(100, height - 100, "Hello World!")
c.drawString(100, height - 120, "This is a PDF created with reportlab")# Add a line
c.line(100, height - 140, 400, height - 140)# Save
c.save()
Create PDF with Multiple Pages
from reportlab.lib.pagesizes import letter
from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer, PageBreak
from reportlab.lib.styles import getSampleStyleSheetdoc = SimpleDocTemplate("report.pdf", pagesize=letter)
styles = getSampleStyleSheet()
story = []# Add content
title = Paragraph("Report Title", styles['Title'])
story.append(title)
story.append(Spacer(1, 12))body = Paragraph("This is the body of the report. " * 20, styles['Normal'])
story.append(body)
story.append(PageBreak())# Page 2
story.append(Paragraph("Page 2", styles['Heading1']))
story.append(Paragraph("Content for page 2", styles['Normal']))# Build PDF
doc.build(story)
Subscripts and Superscripts
IMPORTANT: Never use Unicode subscript/superscript characters (₀₁₂₃₄₅₆₇₈₉, ⁰¹²³⁴⁵⁶⁷⁸⁹) in ReportLab PDFs. The built-in fonts do not include these glyphs, causing them to render as solid black boxes.
Instead, use ReportLab's XML markup tags in Paragraph objects:
from reportlab.platypus import Paragraph
from reportlab.lib.styles import getSampleStyleSheetstyles = getSampleStyleSheet()# Subscripts: use <sub> tag
chemical = Paragraph("H<sub>2</sub>O", styles['Normal'])# Superscripts: use <super> tag
squared = Paragraph("x<super>2</super> + y<super>2</super>", styles['Normal'])
For canvas-drawn text (not Paragraph objects), manually adjust font the size and position rather than using Unicode subscripts/superscripts.
Command-Line Tools
pdftotext (poppler-utils)
# Extract text
pdftotext input.pdf output.txt# Extract text preserving layout
pdftotext -layout input.pdf output.txt# Extract specific pages
pdftotext -f 1 -l 5 input.pdf output.txt # Pages 1-5
qpdf
# Merge PDFs
qpdf --empty --pages file1.pdf file2.pdf -- merged.pdf# Split pages
qpdf input.pdf --pages . 1-5 -- pages1-5.pdf
qpdf input.pdf --pages . 6-10 -- pages6-10.pdf# Rotate pages
qpdf input.pdf output.pdf --rotate=+90:1 # Rotate page 1 by 90 degrees# Remove password
qpdf --password=mypassword --decrypt encrypted.pdf decrypted.pdf
pdftk (if available)
# Merge
pdftk file1.pdf file2.pdf cat output merged.pdf# Split
pdftk input.pdf burst# Rotate
pdftk input.pdf rotate 1east output rotated.pdf
Common Tasks
Extract Text from Scanned PDFs
# Requires: pip install pytesseract pdf2image
import pytesseract
from pdf2image import convert_from_path# Convert PDF to images
images = convert_from_path('scanned.pdf')# OCR each page
text = ""
for i, image in enumerate(images):
text += f"Page {i+1}:\n"
text += pytesseract.image_to_string(image)
text += "\n\n"print(text)
Add Watermark
from pypdf import PdfReader, PdfWriter# Create watermark (or load existing)
watermark = PdfReader("watermark.pdf").pages[0]# Apply to all pages
reader = PdfReader("document.pdf")
writer = PdfWriter()for page in reader.pages:
page.merge_page(watermark)
writer.add_page(page)with open("watermarked.pdf", "wb") as output:
writer.write(output)
Extract Images
# Using pdfimages (poppler-utils)
pdfimages -j input.pdf output_prefix# This extracts all images as output_prefix-000.jpg, output_prefix-001.jpg, etc.
Password Protection
from pypdf import PdfReader, PdfWriterreader = PdfReader("input.pdf")
writer = PdfWriter()for page in reader.pages:
writer.add_page(page)# Add password
writer.encrypt("userpassword", "ownerpassword")with open("encrypted.pdf", "wb") as output:
writer.write(output)
Quick Reference
Next Steps
- For advanced pypdfium2 usage, see REFERENCE.md
- For JavaScript libraries (pdf-lib), see REFERENCE.md
- If you need to fill out a PDF form, follow the instructions in FORMS.md
- For troubleshooting guides, see REFERENCE.md





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