PDF 处理技能完整指南

⚠️ 重要执行指导

必须使用 Bash 工具执行Python脚本，不要试图直接处理PDF文件！

PDF转Markdown（最常用）

bash

python workspace/skills/pdf/scripts/pdf_to_markdown.py [PDF文件名]

示例：

bash

python workspace/skills/pdf/scripts/pdf_to_markdown.py 2407.14333v5.pdf

其他PDF操作

bash

# 提取表单字段信息
python workspace/skills/pdf/scripts/extract_form_field_info.py [PDF文件名]

# 检查可填写字段
python workspace/skills/pdf/scripts/check_fillable_fields.py [PDF文件名]

# PDF转图像
python workspace/skills/pdf/scripts/convert_pdf_to_images.py [PDF文件名] [输出目录]

执行步骤

•使用 Bash 工具执行上述命令
•等待脚本执行完成
•使用 Read 查看生成的结果
•使用 Write 保存处理结果到指定位置

概述

本技能提供全面的PDF处理功能，包括文本提取、表格处理、PDF创建、文档合并/分割以及表单处理。技能包含8个专用的Python脚本，可处理各种PDF相关任务。

技能功能

•文本提取: 使用pypdf和pdfplumber提取PDF文本内容
•表格处理: 提取和转换PDF中的表格数据
•PDF操作: 合并、分割、旋转、加密PDF文档
•表单处理: 检测、填写和提取PDF表单字段
•图像处理: PDF转图像、边界框检查
•高级功能: OCR支持、水印添加、元数据处理

工作目录结构

code

workspace/skills/pdf/
├── SKILL.md                 # 本技能定义文件
├── reference.md             # 高级功能参考文档
├── forms.md                 # 表单处理专门指南
├── LICENSE.txt              # 许可证文件
└── scripts/                 # Python脚本目录
    ├── check_bounding_boxes.py      # 边界框检查
    ├── check_bounding_boxes_test.py # 边界框检查测试
    ├── check_fillable_fields.py     # 检查可填写字段
    ├── convert_pdf_to_images.py     # PDF转图像
    ├── create_validation_image.py   # 创建验证图像
    ├── extract_form_field_info.py   # 提取表单字段信息
    ├── fill_fillable_fields.py      # 填写可填写字段
    └── fill_pdf_form_with_annotations.py # 用注释填充表单

Agentsdk 使用方法

使用 `Bash` 执行PDF脚本

通过 Bash 工具调用Python脚本：

bash

# 检查PDF中的可填写字段
python skills/pdf/scripts/check_fillable_fields.py <PDF文件路径>

# 提取表单字段信息
python skills/pdf/scripts/extract_form_field_info.py <PDF文件路径>

# 将PDF转换为图像
python skills/pdf/scripts/convert_pdf_to_images.py <PDF文件路径> <输出目录>

# 填写PDF表单
python skills/pdf/scripts/fill_fillable_fields.py <PDF文件路径> <字段数据JSON>

# 检查边界框
python skills/pdf/scripts/check_bounding_boxes.py <PDF文件路径> <检查数据JSON>

使用 `Read` 和 `Write` 处理文件

bash

# 读取PDF文件进行分析
# 使用 Read 工具读取PDF文件路径

# 保存处理结果
# 使用 Write 工具保存生成的Markdown、JSON或其他格式的结果

常见使用场景

1. PDF转Markdown（推荐）

bash

# 将PDF转换为Markdown格式（完整保留格式和结构）
python skills/pdf/scripts/pdf_to_markdown.py 2407.14333v5.pdf

2. PDF文本提取和分析

bash

# 提取PDF文本内容
python skills/pdf/scripts/extract_form_field_info.py document.pdf

3. PDF表单处理

bash

# 检查表单字段
python skills/pdf/scripts/check_fillable_fields.py form.pdf

# 提取字段信息
python skills/pdf/scripts/extract_form_field_info.py form.pdf

# 填写表单
python skills/pdf/scripts/fill_fillable_fields.py form.pdf field_data.json

3. PDF图像处理

bash

# PDF转图像
python skills/pdf/scripts/convert_pdf_to_images.py document.pdf output_images/

错误处理

•确保PDF文件路径正确
•检查Python依赖是否已安装（pypdf, pdfplumber, reportlab等）
•验证输出目录权限
•处理加密PDF时需要提供密码

传统PDF操作指南

以下为传统的PDF处理操作指南，适用于直接编程使用：

Quick Start

python

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

python

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)

Split PDF

python

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

python

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

python

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

python

import pdfplumber

with pdfplumber.open("document.pdf") as pdf:
    for page in pdf.pages:
        text = page.extract_text()
        print(text)

Extract Tables

python

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

python

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:  # 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

python

from reportlab.lib.pagesizes import letter
from reportlab.pdfgen import canvas

c = 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

python

from reportlab.lib.pagesizes import letter
from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer, PageBreak
from reportlab.lib.styles import getSampleStyleSheet

doc = 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)

Command-Line Tools

pdftotext (poppler-utils)

bash

# 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

bash

# 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)

bash

# 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

python

# 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

python

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

bash

# 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

python

from pypdf import PdfReader, PdfWriter

reader = 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

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
Fill PDF forms	pdf-lib or pypdf (see forms.md)	See forms.md

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

PDF 处理技能完整指南

⚠️ 重要执行指导

PDF转Markdown（最常用）

其他PDF操作

执行步骤

概述

技能功能

工作目录结构

Agentsdk 使用方法

使用 Bash 执行PDF脚本

使用 Read 和 Write 处理文件

常见使用场景

1. PDF转Markdown（推荐）

2. PDF文本提取和分析

3. PDF表单处理

3. PDF图像处理

错误处理

传统PDF操作指南

Quick Start

Python Libraries

pypdf - Basic Operations

Merge PDFs

Split PDF

Extract Metadata

Rotate Pages

pdfplumber - Text and Table Extraction

Extract Text with Layout

Extract Tables

Advanced Table Extraction

reportlab - Create PDFs

Basic PDF Creation

Create PDF with Multiple Pages

Command-Line Tools

pdftotext (poppler-utils)

qpdf

pdftk (if available)

Common Tasks

Extract Text from Scanned PDFs

Add Watermark

Extract Images

Password Protection

Quick Reference

Next Steps

使用 `Bash` 执行PDF脚本

使用 `Read` 和 `Write` 处理文件