Use essa função sempre que o usuário quiser realizar qualquer ação com arquivos PDF. Isso inclui ler ou extrair texto/tabelas de PDFs, combinar ou mesclar vários PDFs em um único, dividir PDFs, girar páginas, adicionar marcas d’água, criar novos PDFs, preencher formulários em PDF, criptografar/descriptografar PDFs, extrair imagens e aplicar OCR em PDFs digitalizados para torná-los pesquisáveis. Se o usuário mencionar um arquivo .pdf ou pedir para criar um, use esta habilidade.
...Expandir tudoPDF Guia de processamento
Visão geral
Este guia aborda as principais operações de processamento do PDF utilizando bibliotecas Python e ferramentas de linha de comando. Para recursos avançados, bibliotecas JavaScript e exemplos detalhados, consulte REFERENCE.md. Se você precisar preencher um formulário PDF, leia FORMS.md e siga as instruções nele contidas.
Introdução rápida
from pypdf import PdfReader, Pdf Writer# Ler um PDF
reader = PdfReader("document.pdf")
print(f"Páginas: {len(reader.pages)}")# Extrair texto
text = ""
for page in reader.pages:
text += page.extract_text()
Bibliotecas do Python
pypdf - Operações básicas
Mesclar arquivos do PDF
from pypdf import PdfWriter, PdfReader writer = PdfWriter()
for pdf_file in ["doc1.pdf", "doc2.pdf", "doc3.pdf"]:
reader = PdfReader(pdf_file)
para página em reader.pages:
writer.add_page(página)com open("merged.pdf", "wb") como saída:
writer.write(saída)
Dividir PDF
reader = PdfReader("input.pdf")
para i, page em enumerate(reader.pages):
writer = PdfWriter()
writer.add_page(page)
with open(f"page_{i+1}.pdf", "wb") as output:
writer.write(output)
Extrair metadados
reader = PdfReader("document.pdf")
meta = reader.metadata
print(f"Título: {meta.title}")
print(f"Autor: {meta.author}")
print(f"Assunto: {meta.subject}")
print(f"Criador: {meta.creator}")
Girar páginas
reader = PdfReader("input.pdf")
writer = PdfWriter()page = reader.pages[0]
page.rotate(90) # Girar 90 graus no sentido horário
writer.add_page(page)with open("rotated.pdf", "wb") as output:
writer.write(output)
pdfplumber - Extração de texto e tabelas
Extrair texto com layout
import pdfplumberwith pdfplumber.open("document.pdf") as pdf:
for page in pdf.pages:
text = page.extract_text()
print(text)
Extrair tabelas
com pdfplumber.open("document.pdf") as pdf:
para i, página em enumerate(pdf.pages):
tables = page.extract_tables()
for j, table in enumerate(tables):
print(f"Tabela {j+1} na página {i+1}:")
for row in table:
print(row)
Extração avançada de tabelas
import pandas aspdwith pdfplumber.open("document.pdf") as pdf:
all_tables = []
for page in pdf.pages:
tables = page.extract_tables()
for table in tables:
if table: # Verifica se a tabela não está vazia
df = pd.DataFrame(table[1:], columns=table[0])
all_tables.append(df)# Combinar todas as tabelas
if all_tables:
combined_df = pd.concat(all_tables,ignore_index=True)
combined_df.to_excel("extracted_tables.xlsx",index=False)
reportlab - Criar PDFs
Criação básica de PDF
from reportlab.lib.pagesizes import letter
from reportlab.pdfgen import canvas c = canvas.Canvas("hello.pdf", pagesize=letter)
width, height = letter# Adicionar texto
c.drawString(100, height - 100, "Hello World!")
c.drawString(100, height - 120, "Este é um PDF criado com o reportlab")# Adicionar uma linha
c.line(100, height - 140, 400, height - 140)# Salvar
c.save()
Criar um PDF o com várias páginas
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 = []# Adicionar conteúdo
title = Paragraph("Título do relatório", styles['Title'])
story.append(title)
story.append(Spacer(1, 12))body = Paragraph("Este é o corpo do relatório. " * 20, styles['Normal'])
story.append(body)
story.append(PageBreak())# Página 2
story.append(Paragraph("Página 2", styles['Heading1']))
story.append(Paragraph("Conteúdo da página 2", styles['Normal']))# Gerar um PDF
doc.build(story)
Subscritos e sobrescritos
IMPORTANTE: Nunca use caracteres de subscrito/superescrito Unicode (₀₁₂₃₄₅₆₇₈₉, ⁰¹²³⁴⁵⁶⁷⁸⁹) em documentos do ReportLab PDF. As fontes integradas não incluem esses glifos, fazendo com que sejam exibidos como caixas pretas sólidas.
Em vez disso, use as tags de marcação XML do ReportLab em objetos Paragraph:
from reportlab.platypus import Paragraph
from reportlab.lib.styles import getSampleStyleSheetstyles = getSampleStyleSheet()# Subscritos: use a tag chemical = Paragraph("H2O", styles['Normal'])# Extrusos: use a tag squared = Paragraph("x² +y² ", styles['Normal'])
Para texto desenhado na tela (não objetos Paragraph), ajuste manualmente o tamanho e a posição da fonte, em vez de usar subíndices/superíndices Unicode.
Ferramentas de linha de comando
pdftotext (poppler-utils)
# Extrair textopdftotext input.pdf output.txt# Extrair texto preservando o layoutpdftotext -layout input.pdf output.txt# Extrair páginas específicaspdftotext -f 1 -l 5 input.pdf output.txt # Páginas 1-5
qpdf
# Mesclar PDFs
qpdf --empty --pages file1.pdf file2.pdf -- merged.pdf# Dividir páginas
qpdf input.pdf --pages . 1-5 -- pages1-5.pdf
qpdf input.pdf --pages . 6-10 -- pages6-10.pdf# Girar páginas
qpdf entrada.pdf saída.pdf --rotate=+90:1 # Girar a página 1 em 90 graus# Remover senha
qpdf --password=mypassword --decrypt encrypted.pdf decrypted.pdf
pdftk (se disponível)
# Mesclar
pdftk file1.pdf file2.pdf cat output merged.pdf# Dividir
pdftk input.pdf burst# Girar
pdftk input.pdf rotate 1east output rotated.pdf
Tarefas comuns
Extrair texto de imagens digitalizadas PDFs
# Requisitos: pip install pytesseract pdf2image
import pytesseract
from pdf2image import convert_from_path# Converter PDF em imagens
images = convert_from_path('scanned.pdf')# Fazer OCR em cada página
text = ""
for i, image in enumerate(images):
text += f"Página {i+1}:\n"
text += pytesseract.image_to_string(image)
text += "\n\n"print(text)
Adicionar marca d’água
from pypdf import PdfReader, Pdf Writer# Criar marca d’água (ou carregar uma existente)
watermark = PdfReader("watermark.pdf").pages[0]# Aplicar a todas as páginas
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)
Extrair imagens
# Usando o comando ` pdf` (poppler-utils)pdfimagens -j entrada.pdf prefixo_de_saída# Isso extrai todas as imagens como prefixo_de_saída-000.jpg, prefixo_de_saída-001.jpg, etc.
Proteção por senha
from pypdf import PdfReader, PdfWriterreader = PdfReader("input.pdf")
writer = PdfWriter()for page in reader.pages:
writer.add_page(page)# Adicionar senha
writer.encrypt("userpassword", "ownerpassword")with open("encrypted.pdf", "wb") as output:
writer.write(output)
Referência rápida
Próximos passos
- Para uso avançado do pypdfium2, consulte REFERENCE.md
- Para bibliotecas JavaScript (pdf-lib), consulte REFERENCE.md
- Se precisar preencher um formulário do PDF, siga as instruções em FORMS.md
- Para guias de solução de problemas, consulte 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
Instalar pdf
Baixe e extraia os arquivos de habilidades para o diretório .claude/skills/.
Baixar ZIPClone o repositório e copie os arquivos da habilidade para o seu projeto.
git clone https://github.com/anthropics/skills/tree/main/skills/pdf # Copy the skill folder to .claude/skills/ or .codex/skills/
Copiar





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