Summary
- PDF文件处理全能工具,支持PDF创建、合并、拆分、文本提取、表格提取、OCR识别、加密解密、添加水印等操作。
- Use when:
- - 读取或提取PDF文本/表格 read extract PDF text tables
- - 合并多个PDF为一个 merge multiple PDFs
- - 拆分PDF页面…
wulaosiji/skills
PDF文件处理? Use when: - 读取或提取PDF文本/表格 read extract PDF text tables - 合并多个PDF为一个 merge multiple PDFs - 拆分PDF页面 split PDF pages - 旋转PDF页面 rotate PDF pages - 添加水印 add watermarks - 创建新PDF create new PDFs - 填写PDF表单 fill PDF forms - 加密/解密PDF encrypt decrypt PDFs - OCR扫描PDF OCR scanned PDFs - 提取PDF图片 extract images from PDF Part of UniqueClub toolkit. Learn more: https://uniqueclub.ai
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SKILL.md
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SUMMARY.md
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Comprehensive PDF processing operations using Python libraries and command-line tools.
Chinese:
English:
| 操作类型 | 推荐工具 | 复杂度 |
|---|---|---|
| 文本提取 | pdfplumber | 简单 |
| 表格提取 | pdfplumber | 中等 |
| 合并/拆分 | pypdf / qpdf | 简单 |
| 创建PDF | reportlab | 中等 |
| OCR识别 | pytesseract | 复杂 |
from pypdf import PdfReader, PdfWriter
# 或
import pdfplumber
<sub> 和 <super> 标签,不要用Unicode字符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()
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"page_{i+1}.pdf", "wb") as output:
writer.write(output)
reader = PdfReader("document.pdf")
meta = reader.metadata
print(f"Title: {meta.title}")
print(f"Author: {meta.author}")
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)
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"Table {j+1} on page {i+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("extracted_tables.xlsx", index=False)
from reportlab.lib.pagesizes import letter
from reportlab.pdfgen import canvas
c = canvas.Canvas("hello.pdf", pagesize=letter)
width, height = letter
c.drawString(100, height - 100, "Hello World!")
c.line(100, height - 140, 400, height - 140)
c.save()
from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer, PageBreak
from reportlab.lib.styles import getSampleStyleSheet
doc = SimpleDocTemplate("report.pdf", pagesize=letter)
styles = getSampleStyleSheet()
story = []
story.append(Paragraph("Report Title", styles['Title']))
story.append(Spacer(1, 12))
story.append(Paragraph("Body content", styles['Normal']))
story.append(PageBreak())
story.append(Paragraph("Page 2", styles['Heading1']))
doc.build(story)
IMPORTANT: Never use Unicode subscript/superscript characters. Use ReportLab's XML markup:
from reportlab.platypus import Paragraph
# Subscripts: use <sub> tag
chemical = Paragraph("H<sub>2</sub>O", styles['Normal'])
# Superscripts: use <super> tag
squared = Paragraph("x<super>2</super>", styles['Normal'])
# Extract text
pdftotext input.pdf output.txt
# Preserve layout
pdftotext -layout input.pdf output.txt
# Specific pages
pdftotext -f 1 -l 5 input.pdf output.txt # Pages 1-5
# Merge PDFs
qpdf --empty --pages file1.pdf file2.pdf -- merged.pdf
# Split pages
qpdf input.pdf --pages . 1-5 -- pages1-5.pdf
# Rotate pages
qpdf input.pdf output.pdf --rotate=+90:1
# Remove password
qpdf --password=mypassword --decrypt encrypted.pdf decrypted.pdf
import pytesseract
from pdf2image import convert_from_path
images = convert_from_path('scanned.pdf')
text = ""
for i, image in enumerate(images):
text += f"Page {i+1}:\n"
text += pytesseract.image_to_string(image)
text += "\n\n"
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("watermarked.pdf", "wb") as output:
writer.write(output)
pdfimages -j input.pdf output_prefix
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("encrypted.pdf", "wb") as output:
writer.write(output)
| Task | Best Tool | Command/Code |
|---|---|---|
| Merge PDFs | pypdf | writer.add_page(page) |
| Split PDFs | pypdf | One page per file |
| Extract text | pdfplumber | page.extract_text() |
| Extract tables | pdfplumber | page.extract_tables() |
| Create PDFs | reportlab | Canvas or Platypus |
| Command line merge | qpdf | qpdf --empty --pages ... |
| OCR scanned PDFs | pytesseract | Convert to image first |
| Skill | Relationship | Use Case |
|---|---|---|
| document-hub | 上级封装 | Word/Excel与PDF互转 |
| image-ocr | 辅助工具 | 扫描PDF的OCR识别 |
| content-extractor | 内容来源 | 提取内容生成PDF |
| email-sender | 下游分发 | 发送PDF附件 |
Part of the UniqueClub toolkit - a collection of skills for AI-powered content creation and automation.