一站式PDF处理工具,支持合并、拆分、提取、转换PDF,提供文本提取、表格识别、PDF转图片及OCR功能。触发词:PDF
PDF 全集处理指南是一项面向实际任务的技能,主要用于本指南涵盖全面的PDF处理操作, 包括转换成图像;高级特性请参见Reference. md.;
该技能适合需要稳定复用相关能力的场景,可作为自动化工作流的一部分,也便于后续检查、调整和扩展。从功能定位来看,该技能强调把分散的操作要求整理成清晰、可复用的处理流程,使用户能够围绕既定目标快速准备输入、选择执行方式并获得结构化结果。实际使用前应先确认任务范围、数据来源、运行环境、必要权限和关键参数,再依据技能说明逐步执行;
若输入条件不完整,应先补齐信息或采用保守配置,避免因错误假设导致结果偏离需求。执行过程中需要关注工具调用是否成功、接口或依赖是否可用、输出格式是否符合预期,并对异常提示、缺失字段和边界情况进行处理;涉及批量任务时,还应保存进度,避免中断后重复操作。
本指南涵盖全面的 PDF 处理操作,包括转换为图像。高级功能请参阅 REFERENCE.md。
工作区目录:
from pypdf import PdfReader, PdfWriter
# 读取 PDF
reader = PdfReader("document.pdf")
print(f"页数:{len(reader.pages)}")
# 提取文本
text = ""
for page in reader.pages:
text += page.extract_text()
from pdf2image import convert_from_path
import os
# 配置
pdf_path = "input.pdf"
output_dir = "pdf-all-in-one-workspace/output_images"
os.makedirs(output_dir, exist_ok=True)
# 将 PDF 转换为图像
images = convert_from_path(pdf_path, dpi=150)
# 将每页保存为 PNG
for i, image in enumerate(images):
output_path = f"{output_dir}/page_{i+1}.png"
image.save(output_path, "PNG")
print(f"已保存:{output_path}")
print(f"共转换页数:{len(images)}")
from pdf2image import convert_from_path
# 仅转换第 1–5 页
images = convert_from_path("document.pdf",
dpi=200,
first_page=1,
last_page=5)
for i, image in enumerate(images):
image.save(f"pdf-all-in-one-workspace/page_{i+1}.jpg", "JPEG", quality=95)
# 安装 Python 库
pip install pdf2image
# 安装系统依赖(poppler)
# Ubuntu/Debian:
sudo apt-get install poppler-utils
# CentOS/RHEL:
sudo yum install poppler-utils
# macOS:
brew install poppler
from pypdf import PdfWriter, PdfReader
writer = 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)
reader = PdfReader("input.pdf")
for i, page in enumerate(reader.pages):
writer = PdfWriter()
writer.add_page(page)
with open(f"pdf-all-in-one-workspace/page_{i+1}.pdf", "wb") as output:
writer.write(output)
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}")
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") as output:
writer.write(output)
import pdfplumber
with pdfplumber.open("document.pdf") as pdf:
for page in pdf.pages:
text = page.extract_text()
print(text)
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"第 {i+1} 页上的表格 {j+1}:")
for row in table:
print(row)
import pandas as pd
with pdfplumber.open("document.pdf") as pdf:
all_tables = []
for page in pdf.pages:
tables = page.extract_tables()
for table in tables:
if table:
df = pd.DataFrame(table[1:], columns=table[0])
all_tables.append(df)
if all_tables:
combined_df = pd.concat(all_tables, ignore_index=True)
combined_df.to_excel("pdf-all-in-one-workspace/extracted_tables.xlsx", index=False)
from reportlab.lib.pagesizes import letter
from reportlab.pdfgen import canvas
c = canvas.Canvas("pdf-all-in-one-workspace/hello.pdf", pagesize=letter)
width, height = letter
c.drawString(100, height - 100, "Hello World!")
c.drawString(100, height - 120, "This is a PDF created with reportlab")
c.line(100, height - 140, 400, height - 140)
c.save()
from reportlab.platypus import Paragraph
from reportlab.lib.styles import getSampleStyleSheet
styles = getSampleStyleSheet()
chemical = Paragraph("H2O", styles['Normal'])
squared = Paragraph("x2 + y2 ", styles['Normal'])
# 提取文本
pdftotext input.pdf output.txt
# 提取文本并保留原始版式
pdftotext -layout input.pdf output.txt
# 提取指定页码范围的文本
pdftotext -f 1 -l 5 input.pdf output.txt
# 合并 PDF
qpdf --empty --pages file1.pdf file2.pdf -- merged.pdf
# 拆分页面
qpdf input.pdf --pages . 1-5 -- pages1-5.pdf
# 旋转页面
qpdf input.pdf output.pdf --rotate=+90:1
# 移除密码保护
qpdf --password=mypassword --decrypt encrypted.pdf decrypted.pdf
# 合并
pdftk file1.pdf file2.pdf cat output merged.pdf
# 拆分(逐页导出)
pdftk input.pdf burst
# 旋转
pdftk input.pdf rotate 1east output rotated.pdf
# 将所有嵌入图像提取为 JPG 格式
pdfimages -j input.pdf pdf-all-in-one-workspace/output_prefix
import pytesseract
from pdf2image import convert_from_path
images = convert_from_path('scanned.pdf')
text = ""
for i, image in enumerate(images):
text += f"第 {i+1} 页:n"
text += pytesseract.image_to_string(image)
text += "nn"
print(text)
from pypdf import PdfReader, PdfWriter
watermark = PdfReader("watermark.pdf").pages[0]
reader = PdfReader("document.pdf")
writer = PdfWriter()
for page in reader.pages:
page.merge_page(watermark)
writer.add_page(page)
with open("pdf-all-in-one-workspace/watermarked.pdf", "wb") as output:
writer.write(output)
from pypdf import PdfReader, PdfWriter
reader = PdfReader("input.pdf")
writer = PdfWriter()
for page in reader.pages:
writer.add_page(page)
writer.encrypt("userpassword", "ownerpassword")
with open("pdf-all-in-one-workspace/encrypted.pdf", "wb") as output:
writer.write(output)
| 任务 | 推荐工具 | 命令 / 代码 |
|---|---|---|
| PDF 转图像 | pdf2image | convert_from_path(pdf, dpi=150) |
| 合并 PDF | pypdf | writer.add_page(page) |
| 拆分 PDF | pypdf | 每页一个文件 |
| 提取文本 | pdfplumber | page.extract_text() |
| 提取表格 | pdfplumber | page.extract_tables() |
| 创建 PDF | reportlab | Canvas 或 Platypus |
| 对扫描 PDF 执行 OCR | pytesseract | pdf2image + pytesseract |
| 从 PDF 中提取图像 | pdfimages | pdfimages -j input.pdf output_prefix |
| 命令行合并 PDF | qpdf | qpdf --empty --pages ... |
/
└── pdf-all-in-one-workspace/
├── input/ # 输入 PDF 文件存放于此
├── output_images/ # 图像转换输出目录
├── output_pdfs/ # 生成的 PDF 输出目录
└── temp/ # 临时文件目录
注意:为保持文件组织有序,请始终将 pdf-all-in-one-workspace/ 作为 PDF 处理操作的工作目录。
pypdfium2 用法,请参阅 REFERENCE.mdpdf-lib),请参阅 REFERENCE.mdFORMS.mdREFERENCE.md