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2022-08-16

10 Best Python Libraries for PDF Processing

10 Best Python Libraries for PDF Processing
  1. PyPDF2: A library for reading and writing PDF files in Python, it provides functionalities for reading and writing PDF files, including merging, splitting, and encrypting PDFs.
  2. pdfminer: A library for extracting information from PDF files in Python, it provides functionalities for text extraction, image extraction, and metadata extraction.
  3. pdfquery: A library for parsing PDF documents in Python, it allows for programmatic access to the content and structure of PDF files.
  4. slate: A library for extracting text from PDF documents in Python, it provides functionalities for text extraction and page splitting.
  5. PyMuPDF: A library for reading and manipulating PDF files in Python, it provides functionalities for text extraction, image extraction, and page manipulation.
  6. pdfrw: A library for reading and writing PDF files in Python, it provides functionalities for reading and writing PDFs, including merging and splitting PDFs.
  7. PyPDF4: A library for reading and writing PDF files in Python, it is a fork of PyPDF2 and provides additional functionalities such as encryption and decryption of PDF files.
  8. pdf2image: A library for converting PDFs to images in Python, it provides functionalities for converting PDFs to PNG, JPEG, and other image formats.
  9. PyPDF3: A library for reading and writing PDF files in Python, it is a fork of PyPDF2 and provides additional functionalities such as encryption and decryption of PDF files.
  10. pdfplumber: A library for extracting text and metadata from PDF files in Python, it provides functionalities for text extraction, image extraction, and metadata extraction.