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PyPDF2 es una biblioteca de Python puro para transformar, asegurar y extraer datos de documentos PDF. Proporciona un conjunto completo de herramientas para modificar layouts de página, gestionar la seguridad de documentos y recuperar metadatos incrustados sin depender de bibliotecas C externas. El toolkit permite el ensamblaje de documentos mediante la fusión de múltiples archivos y la división de documentos en partes más pequeñas. También admite transformaciones a nivel de página, incluyendo la capacidad de rotar páginas y ajustar áreas de recorte visibles. La biblioteca incluye capacidades para la gestión de seguridad mediante cifrado y descifrado basado en contraseña. Además, proporciona utilidades para extraer texto escrito y propiedades administrativas de archivos PDF.

PyPDF2 is a pure Python library for reading, writing, and manipulating PDF files. It functions as a document manipulator, text extractor, and encryption tool, allowing users to process PDF files without relying on external C libraries or native binaries. The library provides specialized tools for modifying document structures, such as merging multiple files into one, splitting documents into separate files, and transforming page layouts through cropping. It also includes capabilities for securing documents via passwords and encryption. Additional capabilities include the extraction of writte

pypdf is a Python library for parsing, manipulating, and generating PDF documents. It provides high-level operations for document processing, such as merging multiple files into one or splitting a single document into smaller files. The project includes specialized tools for managing interactive elements, including the creation and modification of annotations, hyperlinks, and form fields. It also supports advanced metadata management, allowing for the extraction and modification of standard document properties and XML-based XMP metadata. Beyond basic structural changes, the library covers pa

pdfcpu is a Go PDF processing library and command-line interface designed for programmatically manipulating, optimizing, and validating PDF files. It provides a toolkit for document content modification and structural management. The project distinguishes itself as an optimization tool and layout engine, capable of reducing file sizes and improving loading speeds by streamlining internal structures. It also functions as a security manager, providing password-based encryption, decryption, and digital signature verification. Its capability surface includes page management for merging, splittin

pdfminer es una biblioteca de Python para analizar archivos PDF con el fin de extraer texto, analizar diseños, descifrar contenido y convertir documentos a formatos HTML o XML. Funciona como un motor de extracción de texto y herramienta de análisis de diseño diseñada para recuperar caracteres y palabras mientras se preserva la organización estructural del documento original. El proyecto proporciona utilidades para convertir contenido PDF en HTML o XML estructurado para mantener el diseño visual, y una herramienta de descifrado para desbloquear documentos restringidos utilizando claves de cifrado. Identifica las posiciones y agrupaciones de elementos de texto para reconstruir la organización de la página y recuperar esquemas jerárquicos. La biblioteca cubre una amplia superficie de procesamiento de PDF, incluyendo extracción de metadatos, análisis de diseño de documentos y la exportación de objetos internos de PDF para depuración. Maneja la recuperación de texto junto con coordenadas, metadatos de fuentes y dirección de escritura.

qpdf is a collection of specialized utility tools for the structural transformation, metadata inspection, file optimization, and cryptographic management of PDF documents. It provides a command line tool for transforming and inspecting internal PDF structures, a structural transformer for reorganizing pages and merging documents, and an encryption engine for managing passwords and restrictions. The project distinguishes itself through a technical approach to document manipulation, utilizing an object-based structural representation to modify files as a graph of unique objects. It includes a m

This library is a toolkit for processing, manipulating, and inspecting PDF documents within the Rust programming language. It provides programmatic access to the internal structure of files, enabling the extraction of data and the modification of document content. The project utilizes a strongly-typed system to map complex document objects into structured data models. It supports the parsing of existing files through lazy-loading and stream-based decoding, which allows for the retrieval of text, metadata, and images. The library also facilitates the creation of updated document versions by re