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 , 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 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 pdfplumber with 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 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 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 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
- )
- 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 getSampleStyleSheet styles = getSampleStyleSheet ( )
Subscripts: use tag
chemical
Paragraph ( "H2O" , styles [ 'Normal' ] )
Superscripts: use tag
squared
Paragraph
(
"x
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 , 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